Log-Based Identification and Distribution Characteristics of Diagenetic Facies in Low Permeability Dolomite Reservoirs

Log-Based Identification and Distribution Characteristics of Diagenetic Facies in Low Permeability Dolomite Reservoirs | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Log-Based Identification and Distribution Characteristics of Diagenetic Facies in Low Permeability Dolomite Reservoirs Zhen Yang, Jinsong Zhou, Zhan Meng, Wei Cheng, Mengyuan Feng, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7470577/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Low-permeability dolomite reservoirs undergo multiple-stage diagenetic transformations, resulting in complex pore networks and pronounced heterogeneity that challenge reservoir prediction. Focusing on the Ordovician Majiagou Formation dolomite reservoir in the Yan'an Gas Field, China, this study integrates cathodoluminescence, scanning electron microscopy, and statistical logging crossplots to establish a quantitative framework for diagenetic facies classification. The results indicate that diagenetic environment of the Majiagou Formation primarily comprises seawater sedimentary setting, atmospheric leaching setting, and burial diagenetic setting. Five principal diagenetic facies were identified within the dolomite reservoir: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies. The PE-DEN and PE-RLLD crossplot techniques achieves 82.8% identification accuracy against thin section analysis. Additionally, alternative approaches such as RLLD-AC and CNL-RLLD crossplots providing supplementary discrimination. Influenced by paleogeomorphic uplift and denudation, the atmospheric freshwater dissolution facies and weathered karst breccia facies are predominantly developed at the formation's upper strata, whereas the base of the formation is more susceptible to overlying acid fluid dissolution during the burial phase, leading to the predominance of the buried dissolution facies. The dissolution intensity of atmospheric freshwater dissolution facies and quasi-syngenetic dolomitization facies is significant, resulting in favorable physical properties. Integrating the paleogeomorphic context, regions such as the gentle hills on the karst slopes and both sides of grooves are recommended as prime targets for future gas reservoir exploration. This research is applicable to carbonate basins with analogous tectonic settings, enabling systematically evaluate diagenetic facies in low-permeability dolomite reservoirs. Earth and environmental sciences/Environmental sciences Earth and environmental sciences/Solid earth sciences Diagenetic facies Low permeability dolomite Logging identification Paleotopography Ordos Basin Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 Figure 6 Figure 7 Figure 8 Figure 9 Figure 10 Figure 11 Introduction Diagenetic facies denote rock assemblages formed during diagenesis, characterized by analogous physical-chemical properties that comprehensively encapsulate lithology, physical characteristics, and diagenetic processes 1 – 3 . Since its conceptual inception, this paradigm has been instrumental in addressing prediction challenges within highly heterogeneous dolomite reservoirs. Current classifications bifurcate into two frameworks: ​​Diagenetic-association models​​ emphasizing process-driven assemblages (e.g., pressure-dissolution facies, cementation-dissolution facies). Environment-centric models​​ categorizing facies by diagenetic settings (e.g., quasi-syngenetic facies, supergene facies) 4 – 6 .​​ Both perspectives exhibit certain limitations, notably, different diagenetic types can manifest within identical environments while similar types may arise in disparate settings 7 , 8 . Consequently, the essence of diagenetic facies should encompass both the influences of the diagenetic environment and the processes involved in diagenesis itself. The investigation of diagenetic facies traditionally relies on core observations, thin experiments, and logging techniques—are complemented by geochemical analyses involving stable isotopes (oxygen and carbon), strontium isotopes among others gaining traction among geologists recently 9 , 10 . In recent years concerning carbonate rock diagenesis from a geochemical standpoint, researchers have utilized oxygen and carbon isotope compositions to elucidate responses to mud-rich sedimentary conditions during carbonate rock formation processes 11 . Notably for intricate carbonate systems, innovative research methodologies employing artificial neural networks have emerged for predicting evolutionary trends based on log curve data, additionally utilizing laser ablation U-Pb dating methods facilitates predictions regarding reservoir pore evolution 12 , 13 . In examining these mechanisms underlying secondary pore formation in rocks—traditional explanations (e.g., organic acid-induced dissolution of aluminum silicates) face scrutiny while alternative mechanisms (like atmospheric freshwater dissolution or deep-seated groundwater interactions) gain broader acceptance among geological circles today 14 – 16 . Nevertheless, many deep-seated dolomite reservoirs undergo complex evolutionary trajectories characterized by significant transformative events making it challenging to identify high-quality reservoirs amidst conditions marked by profound burial depth coupled with pronounced heterogeneity along with low porosity and permeability 17 . In recent years, a series of pertinent studies on the diagenetic facies of karst dolomite have been conducted, encompassing the composition and structure of typical basin sediments prior to burial, as well as the types, concentrations, occurrence modes, and corresponding formation mechanisms of various autogenic minerals. Additionally, these studies have examined the temperature, pressure, duration, fluid properties during diagenesis, system openness and closure dynamics, along with the spatial distribution of hydrocarbons. The thermodynamic and kinetic mechanisms underlying diagenetic reactions have significantly enhanced our understanding of diagenesis and its correlation with oil and gas reservoir characteristics, thus marking a new milestone in dolomite diagenetic facies research 18 . Given these attributes, accurately identifying and quantitatively evaluating dolomite diagenetic facies has emerged as a formidable scientific challenge. Overall, research on diagenesis and its associated facies has evolved from qualitative assessments to semi-quantitative analyses and ultimately to quantitative evaluations, it has transitioned from macroscopic predictions to microscopic characterizations while shifting from singular methodologies to interdisciplinary approaches 19 . Previous investigations into diagenetic facies lacked a comprehensive recognition and evaluation framework based on ‘petrographic- well logging -statistics’, which considerably hindered the dissemination and application of diagenetic facies analysis 20 . Consequently, this paper utilizes the dolomite reservoir found in Ma5 Member of Yan’an Gas Field within the Ordos Basin as a case study. By employing petrographic observations including cathodoluminescence and scanning electron microscopy, combined with utilization of logging data, specifically utilizing log crossplot decision method, this study aims to achieve quantitative identification across different diagenetic facies. This approach will elucidate both spatial-temporal distribution patterns among these facies while discussing influencing factors in promising exploration areas; thereby providing a scientific foundation for an advanced comprehension of diagenetic facies. Geological setting Ordos Basin, situated in northwestern China, is a stable multicycle cratonic basin that developed upon a foundation of Archean metamorphic rocks. It covers an area of approximately 37×10 4 km 2 and is endowed with abundant hydrocarbon resources 21 . The basin's geological structure exhibits complexity, characterized by relatively gentle sedimentary strata with a dip angle typically not exceeding 1º. It can be categorized into six tectonic units, including Yimeng Uplift, Western Fault-Folded Zone, Tianhuan Depression, Yishaan Slope, Jinxi Folded Belt, and Weibei Uplift, according to the tectonic evolution characteristics 22 , 23 . Yan’an Gas Field is the most significant large gas field in the basin, and hydrocarbon substances are mainly produced from the Ordovician strata (Fig. 1 ). During the Ordovician period, this region was situated near the eastern margin of the central paleo-uplift. The topography gradually declined towards the east, featuring karst highlands in the west, karst slopes in the center, and karst basins in the east 24 , 25 . The primary component of the karst slope is a hilly landscape characterized by alternating gentle hills and plateaus, which has been significantly eroded by flowing water, resulting in numerous nearly east-west oriented grooves that flow eastward into the karst basin (Fig. 1 ) 26 – 28 . During Ordovician deposition, the whole set of strata was upraised by Caledonian movement, consequently, Silurian, Devonian and Early Carboniferous deposits were absent before re-deposition occurred in the Late Carboniferous, the weathering and denudation lasted for 120 to 150 million years 29 – 31 . Since the Cretaceous, late tectonic activities such as the Himalayas have uplifted the crust, creating the current tectonic pattern of the basin tilting westwards 32 . In the Middle Ordovician, formations predominantly composed of marine carbonate rocks interspersed with evaporites were deposited under conditions dictated by sea regression system, these are collectively referred to as the Ordovician Majiagou Formation 33 , 34 . This formation can be subdivided into six members, Ma 1 through Ma6, among which Ma5 serves as a primary gas-producing member 35 , 36 . The Ordovician system primarily developed shallow water carbonate platform facies deposits. The paleoclimate periodically changed to dry and hot, and the sea level fluctuated. During this period, underwater palaeouplifts were widely developed, and the platform slope declined slowly. The development of high-frequency transgression and regression cycles led to the formation of a tidal flat sedimentary system with a large thickness and frequent longitudinal lithology changes, mainly composed of gypsiferous dolomite, oolite dolomite, and micrite dolomite (Fig. 2 ) 37 – 39 . Under the influence of karst denudation and leaching, the weathering crust develops multi-scale fracture-cavity bodies, and various fracture-cavity reservoirs are randomly combined and configured in space 40 , 41 . Physical property statistics indicate that the dolomite permeability of the fifth member of the Majiagou Formation ranges from 0.01 to 0.45mD, belonging to a low-permeability reservoir. Furthermore, the strong heterogeneity and complex pore structure caused by multiple stages (syngenetic, supergene and buried, etc.) and long diagenesis pose significant challenges to the prediction of diagenetic facies 42 – 44 . Methodology A total of 85 core samples from 17 wells were collected for petrographic analysis. Utilizing thin sections, cathodoluminescence imaging, and scanning electron microscopy, the log identification template for diagenetic facies was established, and then the distribution characteristics of diagenetic facies and the prediction of favorable areas were analyzed in the whole study area. Thin Section Analysis Typical rock samples were cut and polished, impregnated with blue-dye resin, and then cut into 0.03 mm slices. Leica DM2700P microscope was used to observe thin slices (n = 243) and count points (380 points per slice) to quantify the clastic skeleton particles, authigenic minerals, and interstitial materials. The types of pore space, optical property, diagenetic stages and distribution characteristics of dissolved pores were identified. Cathodoluminescence A total of 40 representative rock samples were selected to prepare standard optical slices with a thickness of 30 µm. The instrument utilized was the Zeiss EVO 50 cathode luminescence apparatus, and testing was conducted in accordance with the national standard GB/T 20066 − 2006. During the experiment, the acceleration voltage was set to 20 kV and the beam current adjusted to 10 nA to ensure parameter stability. The experimental conditions included a humidity level of 40%, a temperature of 25°C, and a vacuum pressure maintained at 10 − 5 Pa, during which cathode luminescence images of the samples were observed and recorded. Scanning Electron Microscopy Elemental analysis and storage space identification for all 38 samples were performed using Scanning electron microscopy (SEM) equipped with an energy dispersive spectrometer (EDS). The instrument employed was an FEI Quanta 250 scanner, operating at an acceleration voltage of 20 kV and a beam current of 10 nA. The sample chamber was evacuated to achieve a vacuum pressure of 10 − 5 Pa under controlled conditions: temperature at 25°C and humidity at 40%. SEM images captured during observation were saved for further analysis. Log Crossplot Decision Method The log crossplot decision method is a vital technique for the classification of diagenetic facies in dolomite reservoirs. This method entails plotting multiple well log parameters, such as Density (DEN), Gamma Ray (GR), Acoustic (AC), Compensated Neutron (CNL), Deep Resistivity (RLLD), and Photoelectric Effect (PE), on a single crossplot to identify distinct clusters of data points. Each cluster represents specific diagenetic facies characterized by unique physical and chemical properties. Through analyzing the distribution patterns of 85 typical diagenetic facies data points, different diagenetic processes can be discriminated, such as compaction, cementation, and dissolution, which have a significant impact on reservoir quality. Various crossplots can complement and validate one another, optimizing the capacity to subdivide and better assess the diagenetic environment. This method not only enhances the accuracy and reliability of geological interpretations but also provides a solid geophysical basis for the log-based interpretation of diagenetic facies. With the log crossplot decision method, it becomes more efficient to identify high-quality reservoirs and favorable exploration areas, thereby optimizing the selection of drilling targets and reservoir management strategies. Results Diagenesis Through the observation and analysis of core data, thin section, cathodoluminescence, and scanning electron microscopy conducted in the study area, it is evident that the Ma5 Member has experienced a range of diagenetic processes including dissolution, fracturing, dolomitization, pressure solution and recrystallization. Dissolution The dissolution process in the dolomite diagenetic sequence has transpired through multiple stages, significantly enhancing the reservoir's porosity and improving its physical properties. Based on the diagenetic phases, this process can be categorized into three distinct stages: Firstly, the quasi-syngenetic stage, characterized by the formation of bioclastic molds and gypsum molds following the dissolution of biogenic skeletons and gypsum crystals by seawater (Fig. 3 a and b). Secondly, the epigenetic stage, marked by the creation of irregular dissolution cavities and fractures due to the interaction of CO 2 and SO 4 2− -rich meteoric freshwater. Lastly, the burial stage, during which the compaction and hydrocarbon generation in overlying coal-bearing shales produce substantial amounts of CO 2 , H 2 S, and organic acids, leading to the dissolution of dolomites and the formation of extensive secondary porosity. Fracturing Influenced by compressive stresses, fractures exhibit a preferential orientation. Throughout this process, collapse, infilling, compaction, and pressure dissolution contribute to the closure or partial occlusion of fractures, while the preserved fractures serve as primary conduits for dolomitizing and dissolution fluids (Fig. 3 c). Consequently, fractures facilitate dissolution events, and micro-fractures enhance the development of intergranular and moldic porosity. Dolomitization According to the evolutionary stages, the Ma5 Member primarily exhibits two modes of dolomitization (Fig. 3 d and e): quasi-syngenetic and shallow-burial reflux infiltration. During the early stages of sedimentation, the water salinity was stable; however, as climatic conditions transitioned from humid to arid, the interstitial water volume decreased significantly due to evaporation, with seawater continuously replenishing the interstitial spaces via capillary forces. This transformation from normal saline water to hypersaline conditions prompted the precipitation of gypsum and a significant increase in the Mg/Ca ratio of the interstitial water, thereby inducing the dolomitization of early-deposited calcite or aragonite. Pressure Dissolution Pressure dissolution, defined as the dissolution of rocks under pressure, results in the formation of structures, predominantly composed of organic-rich clays. The leaching of formation waters from these clays alters the ion concentrations within localized rock volumes. Pressure dissolution typically occurs at lithological boundaries, where variations in rock composition and crystal structure can induce structures formation (Fig. 3 f and g). Recrystallization Alterations in the physicochemical parameters of the diagenetic setting commonly trigger recrystallization, wherein pre-existing mineral grains coalesce into larger crystalline aggregates. Dolomite with pronounced crystallographic features and larger crystal sizes tends to occupy former pore spaces, thereby diminishing the storage capacity of the reservoir to some extent. As temperatures rise, the grain size of mineral crystals evolves from micritic to powdery and fine-grained, with varying degrees of banding and patchiness observed in otherwise homogeneous rocks (Fig. 3 h and i). Logging Data A total of 85 dolomite samples were chosen for the extraction of logging data, comprising 21 quasi-syngenetic dolomitization facies, 25 atmospheric freshwater dissolution facies, 13 weathered karst breccia facies, 11 argillic filling facies, and 15 buried dissolution facies. The samples are representative of fracture-cavity type and matric type reservoirs of secondary geomorphic units. Six logging curves, namely PE, DEN, GR, AC, CNL and RLLD, which are highly sensitive to diagenetic facies, were utilized for analysis. Log information is presented in Table 1 . GR ranges from 13.85 API to 252.51 API, and CNL ranges from 6.67–20.78%. DEN curve can reflect the total porosity of the reservoir, ranging from 2.23 g·cm − 1 and 2.75 g·cm − 1 , the AC curve is between 157.65 us·m − 1 and 255.04 us·m − 1 , the RLLD curve is between 24.32 Ω·m and 1626.58 Ω·m, and the PE curve can precisely indicate the lithology of carbonate rock. The distribution range is 2.12 b·e − 1 to 3.88 b·e − 1 . Table 1 Log response data of diagenetic facies in dolomite reservoir. Type Sample GR CNL DEN AC RLLD PE Sample GR CNL DEN AC RLLD PE Quasi-syngenetic dolomitization facies Q-1 36.35 12.00 2.70 158.77 233.29 3.11 Q-12 18.85 10.79 2.68 164.16 130.96 3.05 Q-2 26.11 10.00 2.70 158.63 191.40 3.22 Q-13 18.97 10.82 2.68 162.71 125.24 3.16 Q-3 21.59 11.00 2.71 157.65 188.97 3.33 Q-14 16.59 11.36 2.68 160.20 127.72 3.36 Q-4 16.53 13.00 2.71 157.67 176.08 2.94 Q-15 14.47 12.06 2.67 158.88 133.12 3.20 Q-5 44.11 12.00 2.72 158.97 157.12 2.91 Q-16 14.46 12.30 2.66 159.00 137.41 3.10 Q-6 13.85 10.40 2.71 160.89 143.69 3.88 Q-17 16.21 11.89 2.65 159.74 141.27 3.11 Q-7 14.85 11.01 2.70 162.32 139.12 3.86 Q-18 17.62 10.90 2.66 161.12 145.71 3.17 Q-8 16.09 11.42 2.68 162.80 139.92 3.52 Q-19 18.12 14.00 2.67 162.30 149.90 3.30 Q-9 15.44 11.55 2.66 162.68 142.23 3.42 Q-20 18.62 10.18 2.70 162.80 150.40 3.15 Q-10 14.34 11.44 2.66 162.87 142.64 3.24 Q-21 19.12 10.68 2.67 163.30 150.90 3.01 Q-11 15.92 11.10 2.66 163.82 139.10 3.05 / / / / / / / Atmospheric freshwater dissolution facies A-22 63.16 11.17 2.43 193.49 954.06 2.61 A-35 43.93 12.45 2.39 173.49 1137.20 2.66 A-23 64.37 9.07 2.42 178.62 797.64 2.61 A-36 46.26 8.89 2.40 178.62 1348.98 2.66 A-24 43.23 14.15 2.41 197.17 624.87 2.55 A-37 47.38 11.22 2.42 197.17 1597.01 2.65 A-25 68.75 9.41 2.39 210.76 525.09 2.45 A-38 48.78 9.24 2.44 210.76 1626.58 2.63 A-26 39.02 9.59 2.38 214.97 530.80 2.50 A-39 50.89 11.11 2.47 214.97 1390.40 2.63 A-27 40.60 12.44 2.38 210.38 603.43 2.79 A-40 53.86 9.01 2.50 210.38 1074.86 2.63 A-28 42.55 9.16 2.38 203.74 734.61 2.70 A-41 55.23 8.95 2.53 203.74 935.21 2.65 A-29 83.40 8.94 2.38 202.56 945.69 2.70 A-42 58.95 8.89 2.56 202.56 1039.69 2.70 A-30 43.63 14.78 2.38 205.50 1256.88 2.61 A-43 66.00 11.86 2.60 205.50 1146.15 2.76 A-31 43.62 8.64 2.38 204.76 1511.16 2.68 A-44 74.53 9.53 2.62 204.76 935.99 2.82 A-32 43.36 13.49 2.37 193.49 1504.93 2.50 A-45 90.83 9.83 2.47 193.49 936.29 2.80 A-33 41.90 8.34 2.37 210.38 1254.07 2.52 A-46 75.13 10.13 2.46 210.38 936.59 2.75 A-34 41.68 12.24 2.37 203.74 1085.82 2.63 / / / / / / / Weathered karst breccia facies W-47 156.17 7.02 2.75 173.74 313.74 2.68 W-54 156.94 10.05 2.64 166.46 192.88 2.81 W-48 99.83 9.76 2.75 162.13 237.46 2.64 W-55 149.29 9.45 2.65 162.45 184.07 2.89 W-49 147.63 7.08 2.74 164.15 225.96 2.60 W-56 125.41 9.25 2.67 159.72 184.77 2.75 W-50 174.44 8.23 2.72 165.87 173.99 2.78 W-57 80.84 6.67 2.69 159.89 221.21 2.82 W-51 170.00 7.35 2.69 167.29 174.75 2.60 W-58 165.71 8.38 2.68 160.18 188.94 2.77 W-52 160.71 8.38 2.67 168.94 187.94 2.67 W-59 158.76 10.25 2.67 158.15 192.66 2.63 W-53 155.76 9.25 2.65 168.79 194.66 2.83 / / / / / / / Argillic filling facies A-60 166.99 12.25 2.36 220.89 69.91 2.43 A-66 205.11 16.90 2.26 250.79 31.14 2.12 A-61 130.93 14.35 2.25 237.96 81.30 2.39 A-67 170.42 12.70 2.26 235.27 36.43 2.12 A-62 204.11 13.38 2.35 236.90 68.24 2.33 A-68 130.07 12.30 2.28 220.31 50.90 2.20 A-63 235.16 17.58 2.31 227.92 42.30 2.28 A-69 124.31 11.42 2.33 219.45 81.93 2.32 A-64 226.06 20.78 2.27 255.04 26.03 2.21 A-70 185.31 19.42 2.23 226.45 91.93 2.29 W-65 242.25 20.43 2.26 251.82 24.32 2.16 / / / / / / / Buried dissolution facies B-71 37.58 9.87 2.41 163.53 100.99 2.54 B-79 33.26 10.35 2.49 175.25 47.36 2.40 B-72 19.10 10.01 2.44 165.00 84.16 2.50 B-80 14.76 10.49 2.52 176.30 36.30 2.38 B-73 20.14 10.78 2.47 167.88 61.94 2.55 B-81 16.63 9.94 2.45 178.80 57.42 2.38 B-74 20.41 10.13 2.48 172.07 68.13 2.51 B-82 17.76 11.18 2.56 181.19 38.12 2.37 B-75 30.71 10.09 2.47 176.56 60.37 2.49 B-83 18.68 11.06 2.58 182.16 46.22 2.36 B-76 20.13 11.54 2.45 178.76 88.07 2.48 B-84 19.31 9.90 2.59 179.34 64.67 2.36 B-77 16.97 11.68 2.49 178.14 36.38 2.45 B-85 18.45 9.12 2.61 175.66 56.89 2.39 B-78 34.19 10.57 2.46 175.95 58.49 2.43 / / / / / / / Mineralogical Characteristics The cementation filling the dissolution pores mainly consists of dolomite, calcite, quartz, kaolinite, illite, potash feldspar, etc. (Fig. 4 ). The various types of fillings are derived from different sedimentary environments. Dolomite and calcite were formed during the supergene period, while kaolinite, quartz and ferric calcite were formed in the burial period. Based on the disparity of cementation assemblages and diagenetic stages, their impacts on reservoir physical properties also vary. Dolomite and freshwater calcite, which have a minor influence on pores, often exist in idiomorphic structures and develop a certain scale of intercrystalline pores. Next come quartz and kaolinite, whose presence indicates that the formation environment is in acidic medium water, which causes the dissolution of fine powder dolomite in the early dissolution pores, thereby forming intergranular dissolution pores and enhancing the reservoir physical property. Calcite and iron calcite are the most detrimental to the pores and are basically filled in the solution pores. Based on the mineral content statistics in thin sections and scanning electron microscopy of each secondary geomorphic unit (Fig. 5 ), the karst highland and karst slope are mainly filled with calcite, dolomite, and quartz. The calcite filling has the highest content in the karst highland, accounting for 30.6%, while the dolomite filling has the highest content in the karst slope, accounting for 24.6%. Besides the high content of calcite, the contents of kaolinite and argillite are also considerable in karst basin, reaching 17.1% and 18.1% respectively. From the perspective of the frequency of filling minerals, from the highland to the basin, the groundwater gradually changes from acidic to weakly alkaline. The dissolution is relatively prominent in the highland, the precipitation in the basin geomorphic unit is stronger, and the high frequency of muddy matrix also indicates that the karst basin is significantly affected by mineral filling. Additionally, all geomorphic units are partially filled with potash feldspar, illite, and pyrite, which are products of the burial period, and their contents are less than 6.0%. According to the statistical analysis of mineral filling types and proportions in the form of pie charts, calcite, dolomite, and quartz are the main fillings in the Ma5 Member (Fig. 6). The contents of calcite and silica on the karst slope in the central part of the study area are high, with a total content of over 50%; meanwhile, the content of dissolution pore is also greater than 12%, indicating strong dissolution. On both sides of the northwest groove and three east-west grooves, the pores are mainly filled with calcite and quartz, but due to strong dissolution, the porosity is greater than 12%, which constitutes a good reservoir space. Discussion Classification of Diagenetic Facies The karst environment represents the physical and chemical conditions under which carbonate rocks undergo diagenetic transformations, while diagenetic facies refer to the lithofacies assemblage characterized by specific mineral compositions and rock structures that develop within this environment 45 , 46 . Based on core observations and thin section analyses, five principal diagenetic facies of the Ordovician system have been identified according to the mineral composition and diagenetic structural characteristics of dolomites, in conjunction with three developmental stages: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies (Table 2 ). Table 2. Diagenetic facies types and logging response characteristics of dolomite reservoir. Quasi-syngenetic dolomitization facies (QSDF) During the period of low sea level or relative sea level decline, the quasi-syngenetic dolomitization facies is formed in the tidal flat evaporation environment. Rocks typically retain excellent original sedimentary structures. Due to being rich in non-radioactive dolomite minerals, the GR value is relatively low. The gypsum mold pores formed by the hydration of evaporative gypsum salts will decrease the relative density of rocks. DEN is the median value, CNL and AC are the median value, RLLD is the relatively high value, and the rocks contain certain calcareous components, so the PE value is relatively high. Atmospheric freshwater dissolution facies (AFDF) The atmospheric freshwater dissolution facies is mainly developed in the near-surface atmospheric fresh water environment, and a large number of dissolution pores, cracks and fissures of different scales are formed in the rock, which significantly alters the pore structure of the original rock. The internal fracture connectivity is good, the mud content is low, the GR is relatively low, the DEN is low, the CNL and AC are high, and the RLLD is high. Weathered karst breccia facies (WKBF) The weathered karst breccia facies is accompanied by karst collapse, and the fractures and karst caves are often filled with fine debris and clay, with a medium clay content. GR is the median value, DEN is the relatively high value, CNL and AC are the relatively high value, and the RLLD curve fluctuates significantly on the logging curves of corresponding intervals. Argillic filling facies (AFF) The lithology of the argillic filling facies is fine silty dolomite, which is filled by terrigenous clastic material and argillaceous complex with a high argillaceous content. The structure is loose due to the influence of supergene karst. Such diagenesis facies has an extremely high GR, an extremely low DEN, a high CNL and AC, and clay minerals have high hydrophilicity and ion exchange capacity, so RLLD is low. Buried dissolution facies (BDF) The lithology of the buried dissolution facies is fine silty dolomite, and the pores are well developed and mostly unfilled. Most of the original rock structure has disappeared, and the residual particle structure can be seen, mostly secondary solution pores. The GR is at a relatively low value, the DEN is at a low-median value, the CNL and AC are at the median value, and the mud content is relatively low in the logging curve of the corresponding interval. Quantitative Logging Identification The 85 rock samples selected are representative of the fracture-cavity type and matric type dolomites of secondary geomorphic units. Intersection analysis was carried out with six types of logging curves, namely PE, DEN, GR, AC, CNL, and RLLD, which are highly sensitive to diagenetic facies (Fig. 7). The DEN curve can reflect the total porosity of the reservoirs, while the PE curve can precisely indicate the lithology of carbonate rocks. There are incomplete dolomitization calcareous components in the quasi-syngenetic dolomitization facies, mainly micrite, with the PE value being the highest and the DEN value being high. During the process of karst leaching, a large number of dissolution pores are formed, increasing the porosity. The DEN value is relatively low, and the RLLD value of the gas reservoirs development section is high. The weathered karst breccia facies is mainly affected by karst collapse, and terrigenous clastic material is significantly filled and cemented, reducing rock porosity. Therefore, the DEN shows a high value, the CNL shows a low value, and the GR shows a medium-high value. The argillic filling facies can be easily distinguished on the logging curve. A large amount of mud filling makes the GR show an extremely high value, the DEN show a low value, and the AC show a high value. The buried dissolution facies is less affected by surface corrosion, so the mud content is low, the GR and PE values are low, and the DEN and RLLD curves show low-median values. Based on the intersection analysis of typical logging parameters, the diagenetic facies division program was formulated using the boundary equation. The diagenetic facies region was subdivided and defined by this equation, and the identification chart of diagenetic facies logging intersection was established (Fig. 8 ). In the PE-DEN intersection diagram, the boundary conditions of the quasi-syngenetic dolomitization facies are as follows: PE > 2.91. The boundary conditions of the argillic filling facies are: PE < 2.91 and PE<-18.2DEN + 45.32. The boundary conditions of the atmospheric freshwater dissolution facies are PE -18.2DEN + 45.32, PE > 1.09DEN-0.16, and DEN < 2.69. The boundary conditions of the buried dissolution facies are PE < 1.09DEN-0.16, DEN -18.2DEN + 45.32. The boundary conditions of the weathered karst breccia facies are DEN > 2.69 and PE 217.3, it is determined to be the argillic filling facies; otherwise, check whether AC > 0.13RLLD + 134.6 and AC<-0.55RLLD + 431.5. If so, it is identified as the buried dissolution facies; if not, check whether AC < 0.13RLLD + 134.6 and AC < 0.3RLLD + 215.1. If not, it is regarded as the quasi-syngenetic dolomitization facies; if not, check whether AC<-0.55RLLD + 431.5, AC 0.3RLLD + 215.1. If not, it is distinguished as the weathered karst breccia facies; if not, check whether AC>-0.55RLLD + 431.5 and AC < 217.3, and further determine if it belongs to the atmospheric freshwater dissolution facies. To verify the validity of the diagenetic facies identification method, the log interpretation results of well Y39 were compared with those obtained from thin section analysis (Fig. 9 ). It was found that argillic filling facies in the Ma5 1 1 Member (3601.8–3602.3m) was interpreted as weathered karst breccia facies, which was presumed to be caused by the high degree of mud filling and breccia collapse. AC and RLLD with a larger detection range can be employed to identify this. The statistical data of multiple wells show that the coincidence rate between the identification results of logging interpretation and the diagenesis analyzed by thin section reaches up to 82.8%. Additionally, the diagenetic facies has a good longitudinal correspondence with the measured porosity, and the atmospheric freshwater dissolution facies has the best physical property, with an average porosity of 5.16%. The physical properties of the quasi-syngenetic dolomitization facies and the buried dissolution facies are secondary, with the average porosity being 3.63% and 3.92% respectively. The physical properties of the weathered karst breccia facies and the argillic filling facies are poor, with the average porosity being 1.81% and 0.94% respectively. The results of diagenetic facies logging interpretation are in good accordance with the petrological prediction results, indicating that the boundary equation has certain feasibility in diagenetic facies identification. The above analysis reveals that the quantitative identification of diagenetic facies by DEN-PE boundary is feasible and reliable. When there is no PE logging data or deviation of DEN-PE boundary identification results, alternative methods such as RLLD-AC and CNL-RLLD can be utilized to further correct the interpretation accuracy of diagenetic facies. Distribution of Diagenetic Facies and Favorable Areas Based on the construction of the logging boundary model and test optimization, the longitudinal identification of diagenetic facies was carried out for all wells within the study area. As illustrated in Fig. 10 , the well connection profile traverses each secondary paleogeomorphic unit in an east-west orientation, elucidating the overarching pattern of diagenetic facies development. Within this area, the atmospheric freshwater dissolution facies, the quasi-syngenetic dolomitization facies, and the buried dissolution facies exhibit widespread distribution; however, the spatial arrangement of these facies varies significantly across different landforms and vertical depth. From the viewpoint of varying depths, the upper strata (Ma5 1 1 - Ma5 1 3 ) predominantly feature the atmospheric freshwater dissolution facies and weathered karst breccia facies, with these two diagenetic facies alternating longitudinally, primarily influenced by paleogeomorphic uplift and erosion. In the mid-strata (Ma5 1 3 - Ma5 1 4 ), certain quasi-syngenetic dolomitization facies have developed, while at the top and bottom of the Ma5 1 4 and Ma5 2 1 formations, distinct sedimentary discontinuities are observed, indicating the long-distance transport of terrigenous clastic materials. At the lower part of the formation (Ma5 2 1 - Ma5 2 2 ), the buried dissolution facies dominate, with some quasi-syngenetic dolomitization facies also present. This phenomenon is attributed, on one hand, to the micrite dolomite formed during the quasi-syngenetic sedimentation period being less prone to external condition interference, and on the other hand, to the fine-grained dolomite being susceptible to dissolution by overlying acidic fluids during the burial period. In conjunction with the paleogeomorphic context, the atmospheric freshwater dissolution facies and the quasi-syngenetic dolomitization facies exhibit robust dissolution capabilities and favorable physical properties, predominantly occurring in the central karst slope and both sides of the grooves. The buried dissolution facies are situated in the western karst highland and the eastern karst basin, also demonstrating good physical characteristics. Extensive areas of weathered karst breccia facies are found in the low plateau region at the center of the platform, while the argillic filling facies, characterized by high cementation and inferior physical properties, is primarily located in the valleys and low-lying areas within the grooves. Consequently, for future gas reservoir exploration, priority should be given to favorable regions such as the gentle hills on the karst slopes in the middle and both sides of grooves (Fig. 11). Conclusion (1) The diagenetic environment of the Majiagou Formation primarily encompasses marine sedimentary setting, atmospheric precipitation setting, and burial diagenetic setting. Over extended periods of geological transformation, a variety of diagenetic processes have emerged, including dissolution, fracturing, dolomitization, pressure solution, and recrystallization. Presently, the cements filling the dissolution cavities predominantly consist of dolomite, calcite, quartz, kaolinite, illite, potash feldspar, etc. These diverse fill materials originate from distinct sedimentary settings. (2) Based on core observation and thin section identification, in accordance with the dolomite mineral composition and diagenetic structure characteristics, combined with the three diagenetic development stages, five main diagenetic facies of the Ordovician system are identified: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies. The PE-DEN and PE-RLLD crossplot methodologies serve as effective means for the quantitative identification of diagenetic facies in low-permeability dolomites, achieving a concordance rate of 82.8% between log interpretations and thin section analyses. Moreover, supplementary techniques such as RLLD-AC and CNL-RLLD can enhance the precision of diagenetic facies interpretation. (3) Influenced by paleogeomorphic uplift and erosion, the atmospheric freshwater dissolution facies and weathered karst breccia facies are predominantly observed at the formation's upper strata, whereas the lower strata are more susceptible to overlying acidic fluid dissolution during the burial phase, leading to the predominant development of the buried dissolution facies. The dissolution intensity of atmospheric freshwater dissolution facies and quasi-syngenetic dolomitization facies is significant, resulting in favorable physical properties. Integrating the paleogeomorphic context, regions such as the gentle hills on the karst slopes and both sides of grooves are recommended as prime targets for future gas reservoir exploration. Declarations Competing interests The authors declare no competing interests. Funding Open access funding provided by Natural Gas Research Institute of Shaanxi Yanchang Petroleum (Group) Co., Ltd. Author Contribution Methodology: Y.Z., Z.J.S., M.Z. Investigation: C.W., F.M.Y. Writing—original draft: D.Z.H. Writing—final raft: Y.Z., C.J.H. All authors reviewed the manuscript. Acknowledgements We thank Shaanxi Yanchang Petroleum Gas Field Company for permission to use industry data for this research. Data Availability Data is provided within the manuscript. References Russell, A. D. & Morford, J. L. The behavior of redox-sensitive metals across a laminated-massive-laminated transition in Saanich Inlet, British Columbia. Mar. Geol . 174 (1/4):341-354 (2001). Warren, J. K. Evaporites through time: Tectonic, climatic and eustatic controls in marine and nonmarine deposits. Earth-Sci. Rev. 98 (3/4): 217-268 (2010). Mohammadi, Z., Mehrabi, H., Gharechelou, S., Jalali, M. & Swennen, R. Stratigraphic architecture and depositional-diagenetic evolution of Oligocene–Miocene carbonate-evaporite platform in the southern margin of the Neo-Tethys Ocean, Lurestan zone of Zagros, Ira. J. Asian. Earth. Sci. 233 (1): 105249 (2022). Kibikas, W. M., Ghassemi, A. & Carpenter, B. M. Evaluating the mechanical properties of carbonate and evaporite caprocks in the Sichuan Basin. J. Asian. Earth. Sci. 6 (1): 100063 (2021). Dymond, J., Suess, E., Lyle, M. Barium in deep-sea sediment: A geochemical proxy for paleoproductivity. Paleoceanography . 7 (2): 163-181 (1992). Carlos, C., et al. Stratigraphic and sedimentary constraints on presalt carbonate reservoirs of the South Atlantic Margin, Santos Basin, offshore Brazil. AAPG. Bull. 106 (12): 2513-2546 (2022). Paytan, A., Kastner, M. & Chavez, F. P. Glacial to interglacial fluctuations in productivity in the equatorial pacific as indicated by marine barite. Science. 274 (5291): 1355-1357 (1996). Fisher, W. L., Peter, U. & Rodda, E. Formation (LowerCretaceous), Texas: Dolomitization in a Carbonate Platform System1. AAPG. Bull. 53 (1): 55-72 (1969). Becker, F. & Bechstädt, T. Sequence stratigraphy of a carbonate-evaporite succession (Zechstein 1, Hessian Basin, Germany). Sedimentology . 53 (5): 1083-1120 (2006). Quijada, E. I., Benito, I. M., Pablo, S. G., Marta, R. M. & Sonia, C. S. Challenges to carbonate-evaporite peritidal facies models and cycles: Insights from Lower Cretaceous stromatolite-bearing deposits (Oncala Group,N Spain). Sediment. Geol. 408 (1): 105752 (2020). Jean, B. et al. Quantitative carbonate sequence stratigraphy: Insights from stratigraphic forward models. AAPG. Bull. 104 (5): 1115-1142 (2020). Bolaji, T. A. et al. Preliminary geochemical characterization of saline Formation water from Miocene reservoirs, offshore Niger delta. Heliyon . 7 (2): e06281 (2021). Mcmanus, J. et al. Geochemistry of barium in marine sediments: Implications for its use as a paleoproxy. Geochim. Cosmochim. Ac . 62 (21/22): 3453-3473 (1998). Adams, J. A. S. & Weaver, C. E. Thorium-to-uranium ratios as indicators of sedimentary processes: Example of concept of geochemical facies. AAPG. Bull. 42 (2): 387-430 (1958). Henderson, G. M. New oceanic proxies for paleoclimate. Earth Planet Sc Lett. 203 (1): 1-13 (2002). Abou, E. K. & Matsumoto, R. Diagenesis and pervasive dolomitization of pre- and post evaporite shallow marine carbonates, Ras Banas Peninsula, Red Sea Coast, Egypt. Arab. J. Geosci. 15 (16): 1403 (2022). Schroeder, J. O., Murray, R. W., Leinen, M., Pflaum, R. C. & Janecek, T. R. Barium in equatorial Pacific carbonate sediment: Terrigenous, oxide, and biogenic associations. Paleoceanography . 12 (1): 125-146 (1997). Tribovillard, N., Algeo, T. J., Baudin, F. & Riboulleau, A. Analysis of marine environmental conditions based onmolybdenum-uranium covariation-Applications to Mesozoic paleoceanography. Chem. Geol. 324/325 : 46-58 (2012). Ginsburg, R. N. & Lowenstam, H. A. The influence of marine bottom communities on the depositional environments of sediments. J. Geol. 66 (3): 310-318 (1958). Emilio, C. et al. Sedimentary evolution of a Late Triassic salt giant and a synchronous carbonate unit between the Peruvian Andean Cordillera and the Brazilian Amazonian foreland. AAPG. Bull. 107 (1): 123-150 (2023). Xu, Y. J., Du, Y. S., Cawood, P. A. & Yang, J. H. Provenance record of a foreland basin: Detrital zircon U-Pb ages from Devonian strata in the North Qilian Orogenic Belt, China. Tectonophysics . 495 (3/4): 337-347 (2010). Zhang, G. W. et al. Orogenesis and dynamics of the Qinling Orogen. Sci. China. Ser. D . 39 (3): 225-234 (1996). Zhao, W. Z., Zeng, H. L., Xu, Z. H., Hu, S. Y. & Fu, Q. L. Seismic sedimentology of a broad, low-relief carbonate platform: The Cambrian Longwangmiao Formation, Moxi-Gaoshiti area, Sichuan Basin, China. AAPG. Bull. 108 (3): 547-575 (2024). Zhao, W. Z. et al. Lithology mapping of a mixed siliciclastic-carbonate-evaporite system using 3D seismic and well data: Lower Triassic Jialingjiang Formation, Sichuan Basin, southwestern China. Mar. Petrol. Geol. 93 (1): 422-436 (2018). Zhao, G. C. et al. Geological reconstructions of the East Asian blocks: From the breakup of Rodinia to the assembly of Pangea. Earth-Sci. Rev . 186 : 262-286 (2018). Shi, S. Y. et al. Hydrocarbon accumulation in deep ancient carbonate-evaporite assemblages. Petrol. Explor. Dev+. 51 (1): 54-68 (2024) . Yang, Z. et al. Indication of Formation water geochemistry for hydrocarbon preservation: New applications of machine learning in tight sandstone gas reservoirs. Acs. Omega. 7 (41): 36263-36276 (2022). Jiang, L., Richard, H. W., Cai, C. F. & Shen, A. J. Diagenesis of an evaporite-related carbonate reservoir in deeply buried Cambrian strata, Tarim Basin, northwest China. AAPG. Bull. 102 (1): 77-102 (2018). Zhang, D. L., Zhang, H. B., Ren, Q., Zhao, X. & Shang, Z. P. A modified method of multiple point geostatistics for spatial simulation of sedimentary facies for carbonate reservoirs. J. Appl. Geophys . 215 : 05112 (2023). Li, W., Tu, J. Q., Zhang, J. & Zhang, B. Accumulation and potential analysis of self-sourced natural gas in the Ordovician Majiagou Formation of Ordos Basin, NW China. Pertol. Explor. Dev+. 44 (4): 552-562 (2017). Worden, R. H., Manning, D. A. C. & Bottrell, S. H. Multiple generations of high salinity Formation water in the Triassic Sherwood sandstone: Wytch farm oilfield, onshore UK. Appl. Geochem. 21 (3): 455-475 (2006). Wei, W. & Algeo, T. J. Elemental proxies for paleosalinity analysis of ancient shales and mudrocks. Geochim. Cosmochim. Ac. 287 : 341-366 (2020). Hu, C. L. et al. Tectonic and paleogeographic controls on development of the Early-Middle Ordovician Shanganning carbonate platform, Ordos Basin, North China. AAPG. Bull. 104 (3): 565-593 (2020). Gao, G. M., Kang, G. F., Li, G. Q. & Bai, C. H. Crustal magnetic anomaly in the Ordos region and its tectonic implications. J. Asian. Earth. Sci. 109 : 63-73 (2015). Zhang, Y. X. et al. TOC estimation from logging data using principal component analysis. Energy Geoscience . 4 (4): 100197 (2023). He, J. Y., Qing, H. R. & Xu, B. The unconformity-related palaeokarst in the uppermost Ediacaran carbonate rocks in the northwestern Tarim Block, NW China: implication for sedimentary evolution during the Ediacaran-Cambrian transition. Int. Geol. Rev. 61 (7): 839-852 (2019). Zhang, T. G., Shen, Y. N. & Algeo, T. J. High-resolution carbon isotopic records from the Ordovician of South China: Links to climatic cooling and the Great Ordovician Biodiversification Event (GOBE). Palaeogeogr. Palaeocl. 289 (1/4): 102-112 (2010). Fu, D., Huang, B., Johnson, T. E. & Wilde, S. Boninitic blueschists record subduction initiation and subsequent accretion of an arc-forearc in the northeast Proto-Tethys Ocean. Geology . 50 (1): 10-15 (2022). Zhen, Y. Y., Zhang, Y. D., Wang, Z. H. & Percival, I. G. Huaiyuan epeirogeny-shaping Ordovician stratigraphy and sedimentation on the north China platform. Palaeogeogr. Palaeocl. 448 : 363-370 (2016). Su, Z. T., Ma, H., Hu, S. L., Liu, G. Q. & Luo, J. L. Early dolomitization and subsequent recrystallization of Middle Ordovician carbonates in the western flank of the Ordos Basin， Northern China: Implications for hydrocarbon exploration. J. Asian. Earth. Sci . 233 : 105241 (2022). Yang, F. et al. Polyphase palaeokarst development in complex tectonic regimes: a case from Mesoproterozoic Wumishan formation in Jizhong depression, North China. Carbonate. Evaporite. 34 (3): 857-868 (2019). Yu, H. Y. et al. Gas and water distribution of Ordovician Majiagou Formation in Northwest of Ordos Basin, NW China. Petrol. Explor. Dev+ . 43 (3): 435-442 (2016). Xie, X. N., Jiu, J. J., Li, S. T. & Cheng, J. M. Salinity variation of Formation water and diagenesis reaction in abnormal pressure environments. Sci. China. Ser. D. 46 (3): 269-284 (2003). He, J. et al. Reservoir Control Mechanism of Dolomite and Sulfate Rock Compound Palaeokarst in Weathering Crust. J. Coastal. Res. 104 (1): 768-774 (2020). West, I. M., Ali, Y. A. & Hilmy, M. E. Primary gypsum nodules in a modern sabkha on the Mediterranean coast of Egypt. Geology. 7 (7): 354-358 (1979). Xiong, Y. et al. Petrogenesis of the Eocene lacustrine evaporites in the western Qaidam Basin: Implications for regional tectonic and climate changes. Sedimeny. Geol. 416 : 105867 (2021). Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7470577","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":516644674,"identity":"a95a9602-cf42-46f8-b0c3-15dd053a7c94","order_by":0,"name":"Zhen Yang","email":"","orcid":"","institution":"Shaanxi Yanchang Petroleum (Group) Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Zhen","middleName":"","lastName":"Yang","suffix":""},{"id":516644675,"identity":"daa82c11-9ebf-41d3-82a9-2e1a118058b5","order_by":1,"name":"Jinsong Zhou","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA70lEQVRIie3RsYrCMBjA8fQ++Lp8XteUCn2FSEE4OPRVlEAnwQdwsOLg4gNU9CFu6iwEvOXAVXGpdnXpC6i5zqXRzSH/LZAfyZcwZrO9Y+G+zMvbN6A7y//X9GkknEWdFGPXIyUqgk+QbkCoPD+VFWFGEq6TOCCCQBwLp2iNem1kcL4cGoiz2aqvDcdInCR0VpnUF8MoGjUQYMPZ4SpIitN4x8sMNCEMmggyyTgN+PTnqJAPs6mZEI8/fNoK8FNAfYoyE05/eoRkAB5Vs/wSgmGWcLF08jK5669U+sWySd9z5+eiidQEr2232Ww2W00PBeA/96n4GskAAAAASUVORK5CYII=","orcid":"","institution":"Shaanxi Yanchang Petroleum (Group) Co., Ltd.","correspondingAuthor":true,"prefix":"","firstName":"Jinsong","middleName":"","lastName":"Zhou","suffix":""},{"id":516644676,"identity":"764612cd-dc78-4330-96d5-7987a9e22b13","order_by":2,"name":"Zhan Meng","email":"","orcid":"","institution":"Shaanxi Yanchang Petroleum (Group) Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Zhan","middleName":"","lastName":"Meng","suffix":""},{"id":516644677,"identity":"4dafb322-b282-4c87-9ed2-e7b17e2ab605","order_by":3,"name":"Wei Cheng","email":"","orcid":"","institution":"Northwest University","correspondingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Cheng","suffix":""},{"id":516644678,"identity":"bde71b47-3532-41f9-9ca2-6692e4e80ba9","order_by":4,"name":"Mengyuan Feng","email":"","orcid":"","institution":"Shaanxi Yanchang Petroleum (Group) Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Mengyuan","middleName":"","lastName":"Feng","suffix":""},{"id":516644679,"identity":"ed50ed6e-ca33-430c-ae26-f2c1b5f0d4a4","order_by":5,"name":"Zihao Dang","email":"","orcid":"","institution":"Shaanxi Yanchang Petroleum (Group) Co., Ltd.","correspondingAuthor":false,"prefix":"","firstName":"Zihao","middleName":"","lastName":"Dang","suffix":""},{"id":516644680,"identity":"821ea632-81d9-4fd9-8007-ac7b3b592ef7","order_by":6,"name":"Jiahao Chen","email":"","orcid":"","institution":"China University of Geosciences","correspondingAuthor":false,"prefix":"","firstName":"Jiahao","middleName":"","lastName":"Chen","suffix":""}],"badges":[],"createdAt":"2025-08-27 10:23:05","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7470577/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7470577/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":91622731,"identity":"906268da-dacc-47dd-87b5-2f805cb3dd84","added_by":"auto","created_at":"2025-09-18 11:45:30","extension":"jpg","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":155802,"visible":true,"origin":"","legend":"\u003cp\u003eLocation and paleogeomorphic background of the Yan'an Gas Field.\u003c/p\u003e","description":"","filename":"1.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/cff465373453bb5b53d8c8df.jpg"},{"id":91622732,"identity":"4d485090-fc9b-4100-bb4f-4cb135e4c52e","added_by":"auto","created_at":"2025-09-18 11:45:30","extension":"jpg","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":144804,"visible":true,"origin":"","legend":"\u003cp\u003eDevelopment of Ordovician strata and lithology characteristics of Ma5 Member.\u003c/p\u003e","description":"","filename":"2.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/e30ed3f509d0508bd84dcd99.jpg"},{"id":91623321,"identity":"aa081c5c-9293-4d55-b3ed-ddad4ab6cb64","added_by":"auto","created_at":"2025-09-18 11:53:30","extension":"jpg","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":339366,"visible":true,"origin":"","legend":"\u003cp\u003eMicroscopic characteristics of dolomite reservoir diagenesis. (a) three phase dissolution, single polarized light, Well Y22, 3317.5m; (b) three phases dissolution, cross polarized light, Well Y22, 3317.5m; (c) Densely dissolved fractures formed by Fracturing, Well Y23, 3412.0m; (d) grain comparison of dolomitization in two stages, Well Y31, 3462.1m; (e) Secondary dolomitization shows brighter light, cathodoluminescence, Well Y31, 3462.1m; (f) Suture structure, Well Y39, 3578.4m; (g) Concave-convex suture structure, Well Y42, 3476.9m; (h) Dark patches formed by recrystallization, Well Y55, 3496.8m; (i) Light and dark stripes formed by recrystallization, cathodoluminescence, Well Y68, 3587.2m.\u003c/p\u003e","description":"","filename":"3.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/2a20a517c15733d1817923ed.jpg"},{"id":91623346,"identity":"57f4bbd5-bf7f-488d-b949-e218b54ee1bc","added_by":"auto","created_at":"2025-09-18 11:53:32","extension":"jpg","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":225517,"visible":true,"origin":"","legend":"\u003cp\u003eSEM characteristics of dolomite reservoir cementation. (a) Idiomorphic dolomite grains, Well Y09, 3445.7m; (b) Calcite is coated on the surface of the particles, Well Y18, 3821.5m; (c) Typical hexagonal prism quartz, Well Y30, 3445.7m; (d) Accordion kaolinite, Well Y37, 3755.3m; (e) Filamentous illite, Well Y43, 3755.3m; (f) Potash feldspar grains, Well Y52, 3640.9m.\u003c/p\u003e","description":"","filename":"4.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/49c77b58bc7b64d0a4b6b026.jpg"},{"id":91623324,"identity":"f2a1b259-5776-4664-961d-3e2375506467","added_by":"auto","created_at":"2025-09-18 11:53:31","extension":"jpg","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":111668,"visible":true,"origin":"","legend":"\u003cp\u003eType and proportion of mineral filling in paleogeomorphic units.\u003c/p\u003e","description":"","filename":"5.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/e01c4ab72fe5b890ab8c8416.jpg"},{"id":91622736,"identity":"3a8d2484-cd2d-4e73-94f4-3ee838d0401c","added_by":"auto","created_at":"2025-09-18 11:45:31","extension":"jpg","order_by":6,"title":"Figure 6","display":"","copyAsset":false,"role":"figure","size":182061,"visible":true,"origin":"","legend":"\u003cp\u003eMineral filling and distribution characteristics in the paleogeomorphic background.\u003c/p\u003e","description":"","filename":"6.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/551dbc6e5416c4dd2c906348.jpg"},{"id":91622745,"identity":"36fa9299-0f0b-47f9-8d5f-e021151406a8","added_by":"auto","created_at":"2025-09-18 11:45:31","extension":"jpg","order_by":7,"title":"Figure 7","display":"","copyAsset":false,"role":"figure","size":236274,"visible":true,"origin":"","legend":"\u003cp\u003eCrossplot Analysis of Conventional Logging Parameters for Diagenetic Facies.\u003c/p\u003e","description":"","filename":"7.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/b9f99b79a518f64160890789.jpg"},{"id":91622734,"identity":"02163222-781a-43a9-b937-0e1310a1d22e","added_by":"auto","created_at":"2025-09-18 11:45:31","extension":"jpg","order_by":8,"title":"Figure 8","display":"","copyAsset":false,"role":"figure","size":162984,"visible":true,"origin":"","legend":"\u003cp\u003eA Flowchart for Logging Diagenetic Facies Characterization.\u003c/p\u003e","description":"","filename":"8.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/385783c5fedf7c5618d87cc8.jpg"},{"id":91623340,"identity":"3da4274c-1d3f-4f0b-a52f-afe3d02baf4c","added_by":"auto","created_at":"2025-09-18 11:53:32","extension":"jpg","order_by":9,"title":"Figure 9","display":"","copyAsset":false,"role":"figure","size":186026,"visible":true,"origin":"","legend":"\u003cp\u003eDiagenetic facies logging interpretation and result test in well Y39.\u003c/p\u003e","description":"","filename":"9.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/2104f4748169bab6f97110d8.jpg"},{"id":91622750,"identity":"27ae8347-0448-47b4-8d26-f2b433d9677b","added_by":"auto","created_at":"2025-09-18 11:45:31","extension":"jpg","order_by":10,"title":"Figure 10","display":"","copyAsset":false,"role":"figure","size":285824,"visible":true,"origin":"","legend":"\u003cp\u003eVertical distribution of dolomite diagenetic facies (East-west Y19-Y58 joint well profile).\u003c/p\u003e","description":"","filename":"10.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/07dc139d81b40418a586cccd.jpg"},{"id":91622767,"identity":"4f90a690-1517-4633-885d-07c8b6d7fc4e","added_by":"auto","created_at":"2025-09-18 11:45:32","extension":"jpg","order_by":11,"title":"Figure 11","display":"","copyAsset":false,"role":"figure","size":133164,"visible":true,"origin":"","legend":"\u003cp\u003eDistribution characteristics of dolomite diagenetic facies in Majiagou Formation.\u003c/p\u003e","description":"","filename":"11.jpg","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/0a8b279b8c38e24843f7602c.jpg"},{"id":91976110,"identity":"59f2dd04-4f74-47a0-887e-4d3fb7523d27","added_by":"auto","created_at":"2025-09-23 10:02:13","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3865515,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7470577/v1/18e8310e-75fd-437d-bfa1-4383270bcc5e.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Log-Based Identification and Distribution Characteristics of Diagenetic Facies in Low Permeability Dolomite Reservoirs","fulltext":[{"header":"Introduction","content":"\u003cp\u003eDiagenetic facies denote rock assemblages formed during diagenesis, characterized by analogous physical-chemical properties that comprehensively encapsulate lithology, physical characteristics, and diagenetic processes\u003csup\u003e\u003cspan additionalcitationids=\"CR2\" citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e–\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e\u003c/sup\u003e. Since its conceptual inception, this paradigm has been instrumental in addressing prediction challenges within highly heterogeneous dolomite reservoirs. Current classifications bifurcate into two frameworks: ​​Diagenetic-association models​​ emphasizing process-driven assemblages (e.g., pressure-dissolution facies, cementation-dissolution facies). Environment-centric models​​ categorizing facies by diagenetic settings (e.g., quasi-syngenetic facies, supergene facies) \u003csup\u003e\u003cspan additionalcitationids=\"CR5\" citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e–\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e\u003c/sup\u003e.​​ Both perspectives exhibit certain limitations, notably, different diagenetic types can manifest within identical environments while similar types may arise in disparate settings\u003csup\u003e\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e,\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e\u003c/sup\u003e. Consequently, the essence of diagenetic facies should encompass both the influences of the diagenetic environment and the processes involved in diagenesis itself. The investigation of diagenetic facies traditionally relies on core observations, thin experiments, and logging techniques—are complemented by geochemical analyses involving stable isotopes (oxygen and carbon), strontium isotopes among others gaining traction among geologists recently\u003csup\u003e\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e,\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e\u003c/sup\u003e. In recent years concerning carbonate rock diagenesis from a geochemical standpoint, researchers have utilized oxygen and carbon isotope compositions to elucidate responses to mud-rich sedimentary conditions during carbonate rock formation processes\u003csup\u003e\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e\u003c/sup\u003e. Notably for intricate carbonate systems, innovative research methodologies employing artificial neural networks have emerged for predicting evolutionary trends based on log curve data, additionally utilizing laser ablation U-Pb dating methods facilitates predictions regarding reservoir pore evolution\u003csup\u003e\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e,\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eIn examining these mechanisms underlying secondary pore formation in rocks—traditional explanations (e.g., organic acid-induced dissolution of aluminum silicates) face scrutiny while alternative mechanisms (like atmospheric freshwater dissolution or deep-seated groundwater interactions) gain broader acceptance among geological circles today\u003csup\u003e\u003cspan additionalcitationids=\"CR15\" citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e–\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e\u003c/sup\u003e. Nevertheless, many deep-seated dolomite reservoirs undergo complex evolutionary trajectories characterized by significant transformative events making it challenging to identify high-quality reservoirs amidst conditions marked by profound burial depth coupled with pronounced heterogeneity along with low porosity and permeability\u003csup\u003e\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e\u003c/sup\u003e. In recent years, a series of pertinent studies on the diagenetic facies of karst dolomite have been conducted, encompassing the composition and structure of typical basin sediments prior to burial, as well as the types, concentrations, occurrence modes, and corresponding formation mechanisms of various autogenic minerals. Additionally, these studies have examined the temperature, pressure, duration, fluid properties during diagenesis, system openness and closure dynamics, along with the spatial distribution of hydrocarbons. The thermodynamic and kinetic mechanisms underlying diagenetic reactions have significantly enhanced our understanding of diagenesis and its correlation with oil and gas reservoir characteristics, thus marking a new milestone in dolomite diagenetic facies research\u003csup\u003e\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eGiven these attributes, accurately identifying and quantitatively evaluating dolomite diagenetic facies has emerged as a formidable scientific challenge. Overall, research on diagenesis and its associated facies has evolved from qualitative assessments to semi-quantitative analyses and ultimately to quantitative evaluations, it has transitioned from macroscopic predictions to microscopic characterizations while shifting from singular methodologies to interdisciplinary approaches\u003csup\u003e\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e\u003c/sup\u003e. Previous investigations into diagenetic facies lacked a comprehensive recognition and evaluation framework based on ‘petrographic- well logging -statistics’, which considerably hindered the dissemination and application of diagenetic facies analysis\u003csup\u003e\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e\u003c/sup\u003e. Consequently, this paper utilizes the dolomite reservoir found in Ma5 Member of Yan’an Gas Field within the Ordos Basin as a case study. By employing petrographic observations including cathodoluminescence and scanning electron microscopy, combined with utilization of logging data, specifically utilizing log crossplot decision method, this study aims to achieve quantitative identification across different diagenetic facies. This approach will elucidate both spatial-temporal distribution patterns among these facies while discussing influencing factors in promising exploration areas; thereby providing a scientific foundation for an advanced comprehension of diagenetic facies.\u003c/p\u003e\n\u003ch3\u003eGeological setting\u003c/h3\u003e\n\u003cp\u003eOrdos Basin, situated in northwestern China, is a stable multicycle cratonic basin that developed upon a foundation of Archean metamorphic rocks. It covers an area of approximately 37×10\u003csup\u003e4\u003c/sup\u003e km\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e and is endowed with abundant hydrocarbon resources\u003csup\u003e\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e\u003c/sup\u003e. The basin's geological structure exhibits complexity, characterized by relatively gentle sedimentary strata with a dip angle typically not exceeding 1º. It can be categorized into six tectonic units, including Yimeng Uplift, Western Fault-Folded Zone, Tianhuan Depression, Yishaan Slope, Jinxi Folded Belt, and Weibei Uplift, according to the tectonic evolution characteristics\u003csup\u003e\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e,\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e\u003c/sup\u003e. Yan’an Gas Field is the most significant large gas field in the basin, and hydrocarbon substances are mainly produced from the Ordovician strata (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e). During the Ordovician period, this region was situated near the eastern margin of the central paleo-uplift. The topography gradually declined towards the east, featuring karst highlands in the west, karst slopes in the center, and karst basins in the east\u003csup\u003e\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e,\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e\u003c/sup\u003e. The primary component of the karst slope is a hilly landscape characterized by alternating gentle hills and plateaus, which has been significantly eroded by flowing water, resulting in numerous nearly east-west oriented grooves that flow eastward into the karst basin (Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e) \u003csup\u003e\u003cspan additionalcitationids=\"CR27\" citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e–\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eDuring Ordovician deposition, the whole set of strata was upraised by Caledonian movement, consequently, Silurian, Devonian and Early Carboniferous deposits were absent before re-deposition occurred in the Late Carboniferous, the weathering and denudation lasted for 120 to 150\u0026nbsp;million years\u003csup\u003e\u003cspan additionalcitationids=\"CR30\" citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e–\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e\u003c/sup\u003e. Since the Cretaceous, late tectonic activities such as the Himalayas have uplifted the crust, creating the current tectonic pattern of the basin tilting westwards\u003csup\u003e\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e\u003c/sup\u003e. In the Middle Ordovician, formations predominantly composed of marine carbonate rocks interspersed with evaporites were deposited under conditions dictated by sea regression system, these are collectively referred to as the Ordovician Majiagou Formation\u003csup\u003e\u003cspan citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e,\u003cspan citationid=\"CR34\" class=\"CitationRef\"\u003e34\u003c/span\u003e\u003c/sup\u003e. This formation can be subdivided into six members, Ma 1 through Ma6, among which Ma5 serves as a primary gas-producing member\u003csup\u003e\u003cspan citationid=\"CR35\" class=\"CitationRef\"\u003e35\u003c/span\u003e,\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e\u003c/sup\u003e. The Ordovician system primarily developed shallow water carbonate platform facies deposits. The paleoclimate periodically changed to dry and hot, and the sea level fluctuated. During this period, underwater palaeouplifts were widely developed, and the platform slope declined slowly. The development of high-frequency transgression and regression cycles led to the formation of a tidal flat sedimentary system with a large thickness and frequent longitudinal lithology changes, mainly composed of gypsiferous dolomite, oolite dolomite, and micrite dolomite (Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e) \u003csup\u003e\u003cspan additionalcitationids=\"CR38\" citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e–\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003eUnder the influence of karst denudation and leaching, the weathering crust develops multi-scale fracture-cavity bodies, and various fracture-cavity reservoirs are randomly combined and configured in space\u003csup\u003e\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e,\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e\u003c/sup\u003e. Physical property statistics indicate that the dolomite permeability of the fifth member of the Majiagou Formation ranges from 0.01 to 0.45mD, belonging to a low-permeability reservoir. Furthermore, the strong heterogeneity and complex pore structure caused by multiple stages (syngenetic, supergene and buried, etc.) and long diagenesis pose significant challenges to the prediction of diagenetic facies\u003csup\u003e\u003cspan additionalcitationids=\"CR43\" citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e–\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e\u003c/sup\u003e.\u003c/p\u003e"},{"header":"Methodology","content":"\u003cp\u003eA total of 85 core samples from 17 wells were collected for petrographic analysis. Utilizing thin sections, cathodoluminescence imaging, and scanning electron microscopy, the log identification template for diagenetic facies was established, and then the distribution characteristics of diagenetic facies and the prediction of favorable areas were analyzed in the whole study area.\u003c/p\u003e\u003ch3\u003eThin Section Analysis\u003c/h3\u003e\u003cp\u003eTypical rock samples were cut and polished, impregnated with blue-dye resin, and then cut into 0.03 mm slices. Leica DM2700P microscope was used to observe thin slices (n = 243) and count points (380 points per slice) to quantify the clastic skeleton particles, authigenic minerals, and interstitial materials. The types of pore space, optical property, diagenetic stages and distribution characteristics of dissolved pores were identified.\u003c/p\u003e\u003ch3\u003eCathodoluminescence\u003c/h3\u003e\u003cp\u003eA total of 40 representative rock samples were selected to prepare standard optical slices with a thickness of 30 µm. The instrument utilized was the Zeiss EVO 50 cathode luminescence apparatus, and testing was conducted in accordance with the national standard GB/T 20066 − 2006. During the experiment, the acceleration voltage was set to 20 kV and the beam current adjusted to 10 nA to ensure parameter stability. The experimental conditions included a humidity level of 40%, a temperature of 25°C, and a vacuum pressure maintained at 10\u003csup\u003e− 5\u003c/sup\u003e Pa, during which cathode luminescence images of the samples were observed and recorded.\u003c/p\u003e\u003ch3\u003eScanning Electron Microscopy\u003c/h3\u003e\u003cp\u003eElemental analysis and storage space identification for all 38 samples were performed using Scanning electron microscopy (SEM) equipped with an energy dispersive spectrometer (EDS). The instrument employed was an FEI Quanta 250 scanner, operating at an acceleration voltage of 20 kV and a beam current of 10 nA. The sample chamber was evacuated to achieve a vacuum pressure of 10\u003csup\u003e− 5\u003c/sup\u003e Pa under controlled conditions: temperature at 25°C and humidity at 40%. SEM images captured during observation were saved for further analysis.\u003c/p\u003e\u003ch3\u003eLog Crossplot Decision Method\u003c/h3\u003e\u003cp\u003eThe log crossplot decision method is a vital technique for the classification of diagenetic facies in dolomite reservoirs. This method entails plotting multiple well log parameters, such as Density (DEN), Gamma Ray (GR), Acoustic (AC), Compensated Neutron (CNL), Deep Resistivity (RLLD), and Photoelectric Effect (PE), on a single crossplot to identify distinct clusters of data points. Each cluster represents specific diagenetic facies characterized by unique physical and chemical properties. Through analyzing the distribution patterns of 85 typical diagenetic facies data points, different diagenetic processes can be discriminated, such as compaction, cementation, and dissolution, which have a significant impact on reservoir quality. Various crossplots can complement and validate one another, optimizing the capacity to subdivide and better assess the diagenetic environment. This method not only enhances the accuracy and reliability of geological interpretations but also provides a solid geophysical basis for the log-based interpretation of diagenetic facies. With the log crossplot decision method, it becomes more efficient to identify high-quality reservoirs and favorable exploration areas, thereby optimizing the selection of drilling targets and reservoir management strategies.\u003c/p\u003e"},{"header":"Results","content":"\u003cdiv id=\"Sec9\" class=\"Section2\"\u003e\u003ch2\u003eDiagenesis\u003c/h2\u003e\u003cp\u003eThrough the observation and analysis of core data, thin section, cathodoluminescence, and scanning electron microscopy conducted in the study area, it is evident that the Ma5 Member has experienced a range of diagenetic processes including dissolution, fracturing, dolomitization, pressure solution and recrystallization.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eDissolution\u003c/h3\u003e\n\u003cp\u003eThe dissolution process in the dolomite diagenetic sequence has transpired through multiple stages, significantly enhancing the reservoir's porosity and improving its physical properties. Based on the diagenetic phases, this process can be categorized into three distinct stages: Firstly, the quasi-syngenetic stage, characterized by the formation of bioclastic molds and gypsum molds following the dissolution of biogenic skeletons and gypsum crystals by seawater (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ea and b). Secondly, the epigenetic stage, marked by the creation of irregular dissolution cavities and fractures due to the interaction of CO\u003csup\u003e\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e\u003c/sup\u003e and SO\u003csub\u003e4\u003c/sub\u003e\u003csup\u003e2\u0026minus;\u003c/sup\u003e-rich meteoric freshwater. Lastly, the burial stage, during which the compaction and hydrocarbon generation in overlying coal-bearing shales produce substantial amounts of CO\u003csub\u003e2\u003c/sub\u003e, H\u003csub\u003e2\u003c/sub\u003eS, and organic acids, leading to the dissolution of dolomites and the formation of extensive secondary porosity.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003eFracturing\u003c/h2\u003e\u003cp\u003eInfluenced by compressive stresses, fractures exhibit a preferential orientation. Throughout this process, collapse, infilling, compaction, and pressure dissolution contribute to the closure or partial occlusion of fractures, while the preserved fractures serve as primary conduits for dolomitizing and dissolution fluids (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ec). Consequently, fractures facilitate dissolution events, and micro-fractures enhance the development of intergranular and moldic porosity.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003eDolomitization\u003c/h2\u003e\u003cp\u003eAccording to the evolutionary stages, the Ma5 Member primarily exhibits two modes of dolomitization (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ed and e): quasi-syngenetic and shallow-burial reflux infiltration. During the early stages of sedimentation, the water salinity was stable; however, as climatic conditions transitioned from humid to arid, the interstitial water volume decreased significantly due to evaporation, with seawater continuously replenishing the interstitial spaces via capillary forces. This transformation from normal saline water to hypersaline conditions prompted the precipitation of gypsum and a significant increase in the Mg/Ca ratio of the interstitial water, thereby inducing the dolomitization of early-deposited calcite or aragonite.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec13\" class=\"Section2\"\u003e\u003ch2\u003ePressure Dissolution\u003c/h2\u003e\u003cp\u003ePressure dissolution, defined as the dissolution of rocks under pressure, results in the formation of structures, predominantly composed of organic-rich clays. The leaching of formation waters from these clays alters the ion concentrations within localized rock volumes. Pressure dissolution typically occurs at lithological boundaries, where variations in rock composition and crystal structure can induce structures formation (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003ef and g).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003eRecrystallization\u003c/h2\u003e\u003cp\u003eAlterations in the physicochemical parameters of the diagenetic setting commonly trigger recrystallization, wherein pre-existing mineral grains coalesce into larger crystalline aggregates. Dolomite with pronounced crystallographic features and larger crystal sizes tends to occupy former pore spaces, thereby diminishing the storage capacity of the reservoir to some extent. As temperatures rise, the grain size of mineral crystals evolves from micritic to powdery and fine-grained, with varying degrees of banding and patchiness observed in otherwise homogeneous rocks (Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003eh and i).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003eLogging Data\u003c/h2\u003e\u003cp\u003eA total of 85 dolomite samples were chosen for the extraction of logging data, comprising 21 quasi-syngenetic dolomitization facies, 25 atmospheric freshwater dissolution facies, 13 weathered karst breccia facies, 11 argillic filling facies, and 15 buried dissolution facies. The samples are representative of fracture-cavity type and matric type reservoirs of secondary geomorphic units. Six logging curves, namely PE, DEN, GR, AC, CNL and RLLD, which are highly sensitive to diagenetic facies, were utilized for analysis. Log information is presented in Table\u0026nbsp;\u003cspan refid=\"Tab1\" class=\"InternalRef\"\u003e1\u003c/span\u003e. GR ranges from 13.85 API to 252.51 API, and CNL ranges from 6.67\u0026ndash;20.78%. DEN curve can reflect the total porosity of the reservoir, ranging from 2.23 g\u0026middot;cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and 2.75 g\u0026middot;cm\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, the AC curve is between 157.65 us\u0026middot;m\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e and 255.04 us\u0026middot;m\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e, the RLLD curve is between 24.32 Ω\u0026middot;m and 1626.58 Ω\u0026middot;m, and the PE curve can precisely indicate the lithology of carbonate rock. The distribution range is 2.12 b\u0026middot;e\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e to 3.88 b\u0026middot;e\u003csup\u003e\u0026minus;\u0026thinsp;1\u003c/sup\u003e.\u003c/p\u003e\u003cp\u003e\u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"Yes\" id=\"Tab1\" border=\"1\"\u003e\u003ccaption language=\"En\"\u003e\u003cdiv class=\"CaptionNumber\"\u003eTable 1\u003c/div\u003e\u003cdiv class=\"CaptionContent\"\u003e\u003cp\u003eLog response data of diagenetic facies in dolomite reservoir.\u003c/p\u003e\u003c/div\u003e\u003c/caption\u003e\u003ccolgroup cols=\"15\"\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c4\" colnum=\"4\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c5\" colnum=\"5\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c6\" colnum=\"6\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c7\" colnum=\"7\"\u003e\u003c/div\u003e\u003cdiv align=\"char\" char=\".\" class=\"colspec\" colname=\"c8\" colnum=\"8\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c9\" colnum=\"9\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c10\" colnum=\"10\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c11\" colnum=\"11\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c12\" colnum=\"12\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c13\" colnum=\"13\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c14\" colnum=\"14\"\u003e\u003c/div\u003e\u003cdiv align=\"left\" class=\"colspec\" colname=\"c15\" colnum=\"15\"\u003e\u003c/div\u003e\u003cthead\u003e\u003ctr\u003e\u003cth align=\"left\" colname=\"c1\"\u003e\u003cp\u003eType\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c2\"\u003e\u003cp\u003eSample\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c3\"\u003e\u003cp\u003eGR\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c4\"\u003e\u003cp\u003eCNL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c5\"\u003e\u003cp\u003eDEN\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c6\"\u003e\u003cp\u003eAC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c7\"\u003e\u003cp\u003eRLLD\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c8\"\u003e\u003cp\u003ePE\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c9\"\u003e\u003cp\u003eSample\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c10\"\u003e\u003cp\u003eGR\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c11\"\u003e\u003cp\u003eCNL\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c12\"\u003e\u003cp\u003eDEN\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c13\"\u003e\u003cp\u003eAC\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c14\"\u003e\u003cp\u003eRLLD\u003c/p\u003e\u003c/th\u003e\u003cth align=\"left\" colname=\"c15\"\u003e\u003cp\u003ePE\u003c/p\u003e\u003c/th\u003e\u003c/tr\u003e\u003c/thead\u003e\u003ctbody\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"10\" rowspan=\"11\"\u003e\u003cp\u003eQuasi-syngenetic dolomitization facies\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-1\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e36.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e12.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e158.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e233.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e164.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e130.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.05\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-2\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e26.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e158.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e191.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e162.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e125.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.16\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-3\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e21.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e157.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e188.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e16.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e160.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e127.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-4\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e16.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e13.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e157.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e176.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e14.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e12.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e158.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e133.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.20\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-5\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e44.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e12.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e158.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e157.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e14.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e12.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e159.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e137.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.10\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-6\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e13.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e160.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e143.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e16.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e159.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e141.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.11\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-7\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14.85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e162.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e139.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e17.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e161.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e145.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.17\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-8\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e16.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e162.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e139.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e14.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e162.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e149.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.30\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-9\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e15.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e162.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e142.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e162.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e150.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.15\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e14.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e162.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e142.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eQ-21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e19.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e163.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e150.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e3.01\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eQ-11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e15.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e163.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e139.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e3.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"12\" rowspan=\"13\"\u003e\u003cp\u003eAtmospheric freshwater dissolution facies\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e63.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e193.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e954.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e43.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e12.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e173.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1137.20\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e64.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e178.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e797.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e46.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e8.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e178.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1348.98\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.66\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e43.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e14.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e197.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e624.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e47.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e197.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1597.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.65\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e68.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e210.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e525.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e48.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e210.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1626.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.63\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e39.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e214.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e530.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e50.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e214.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1390.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.63\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e40.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e12.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e210.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e603.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e53.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e210.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1074.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.63\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e42.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e203.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e734.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e55.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e8.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e203.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e935.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.65\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e83.40\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e202.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e945.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e58.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e8.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e202.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1039.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.70\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e43.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e14.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e205.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1256.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e66.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.86\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e205.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e1146.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.76\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e43.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e204.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1511.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e74.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e204.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e935.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.82\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e43.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e13.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e193.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1504.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e90.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e193.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e936.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.80\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e41.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e210.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1254.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e75.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e210.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e936.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.75\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e41.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e12.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e203.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e1085.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"6\" rowspan=\"7\"\u003e\u003cp\u003eWeathered karst breccia facies\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e156.17\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7.02\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e173.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e313.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e156.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.05\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e166.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e192.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.81\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e99.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e162.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e237.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e149.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e162.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e184.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.89\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e147.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7.08\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e164.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e225.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e125.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e159.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e184.77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.75\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e174.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e165.87\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e173.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e80.84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e6.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e159.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e221.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.82\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e170.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e7.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e167.29\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e174.75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e165.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e8.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e160.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e188.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.77\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e160.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e8.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e168.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e187.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eW-59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e158.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e158.15\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e192.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.63\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-53\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e155.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e9.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e168.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e194.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"5\" rowspan=\"6\"\u003e\u003cp\u003eArgillic filling facies\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-60\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e166.99\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e12.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e220.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e69.91\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e205.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e16.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e250.79\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e31.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e130.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e14.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e237.96\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e81.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.39\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e170.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e12.70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e235.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e36.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.12\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-62\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e204.11\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e13.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e236.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e68.24\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e130.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e12.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e220.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e50.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.20\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e235.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e17.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e227.92\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e42.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.28\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-69\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e124.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.33\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e219.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e81.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.32\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eA-64\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e226.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e20.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.27\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e255.04\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e26.03\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.21\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eA-70\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e185.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e19.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.23\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e226.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e91.93\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.29\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eW-65\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e242.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e20.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.26\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e251.82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e24.32\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c1\" morerows=\"7\" 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colname=\"c11\"\u003e\u003cp\u003e10.35\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e175.25\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e47.36\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.40\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-72\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e19.10\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.01\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.44\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e165.00\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e84.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.50\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e14.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e10.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.52\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e176.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e36.30\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-73\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e20.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e167.88\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e61.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.55\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-81\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e16.63\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.94\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e178.80\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e57.42\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.38\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-74\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e20.41\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e172.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e68.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.51\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-82\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e17.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.18\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e181.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e38.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.37\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-75\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e30.71\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.09\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.47\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e176.56\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e60.37\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-83\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e11.06\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.58\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e182.16\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e46.22\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e20.13\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.54\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e178.76\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e88.07\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.48\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-84\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e19.31\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.90\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.59\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e179.34\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e64.67\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.36\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-77\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e16.97\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e11.68\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e178.14\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e36.38\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003eB-85\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e18.45\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e9.12\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e2.61\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e175.66\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e56.89\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e2.39\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003ctr\u003e\u003ctd align=\"left\" colname=\"c2\"\u003e\u003cp\u003eB-78\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c3\"\u003e\u003cp\u003e34.19\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c4\"\u003e\u003cp\u003e10.57\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c5\"\u003e\u003cp\u003e2.46\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c6\"\u003e\u003cp\u003e175.95\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c7\"\u003e\u003cp\u003e58.49\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"char\" char=\".\" colname=\"c8\"\u003e\u003cp\u003e2.43\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c9\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c10\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c11\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c12\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c13\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c14\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003ctd align=\"left\" colname=\"c15\"\u003e\u003cp\u003e/\u003c/p\u003e\u003c/td\u003e\u003c/tr\u003e\u003c/tbody\u003e\u003c/colgroup\u003e\u003c/table\u003e\u003c/div\u003e\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec16\" class=\"Section2\"\u003e\u003ch2\u003eMineralogical Characteristics\u003c/h2\u003e\u003cp\u003eThe cementation filling the dissolution pores mainly consists of dolomite, calcite, quartz, kaolinite, illite, potash feldspar, etc. (Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e). The various types of fillings are derived from different sedimentary environments. Dolomite and calcite were formed during the supergene period, while kaolinite, quartz and ferric calcite were formed in the burial period. Based on the disparity of cementation assemblages and diagenetic stages, their impacts on reservoir physical properties also vary. Dolomite and freshwater calcite, which have a minor influence on pores, often exist in idiomorphic structures and develop a certain scale of intercrystalline pores. Next come quartz and kaolinite, whose presence indicates that the formation environment is in acidic medium water, which causes the dissolution of fine powder dolomite in the early dissolution pores, thereby forming intergranular dissolution pores and enhancing the reservoir physical property. Calcite and iron calcite are the most detrimental to the pores and are basically filled in the solution pores.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eBased on the mineral content statistics in thin sections and scanning electron microscopy of each secondary geomorphic unit (Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e), the karst highland and karst slope are mainly filled with calcite, dolomite, and quartz. The calcite filling has the highest content in the karst highland, accounting for 30.6%, while the dolomite filling has the highest content in the karst slope, accounting for 24.6%. Besides the high content of calcite, the contents of kaolinite and argillite are also considerable in karst basin, reaching 17.1% and 18.1% respectively.\u003c/p\u003e\u003cp\u003eFrom the perspective of the frequency of filling minerals, from the highland to the basin, the groundwater gradually changes from acidic to weakly alkaline. The dissolution is relatively prominent in the highland, the precipitation in the basin geomorphic unit is stronger, and the high frequency of muddy matrix also indicates that the karst basin is significantly affected by mineral filling. Additionally, all geomorphic units are partially filled with potash feldspar, illite, and pyrite, which are products of the burial period, and their contents are less than 6.0%.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eAccording to the statistical analysis of mineral filling types and proportions in the form of pie charts, calcite, dolomite, and quartz are the main fillings in the Ma5 Member (Fig.\u0026nbsp;6). The contents of calcite and silica on the karst slope in the central part of the study area are high, with a total content of over 50%; meanwhile, the content of dissolution pore is also greater than 12%, indicating strong dissolution. On both sides of the northwest groove and three east-west grooves, the pores are mainly filled with calcite and quartz, but due to strong dissolution, the porosity is greater than 12%, which constitutes a good reservoir space.\u003c/p\u003e"},{"header":"Discussion","content":"\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003eClassification of Diagenetic Facies\u003c/h2\u003e\u003cp\u003eThe karst environment represents the physical and chemical conditions under which carbonate rocks undergo diagenetic transformations, while diagenetic facies refer to the lithofacies assemblage characterized by specific mineral compositions and rock structures that develop within this environment\u003csup\u003e\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e,\u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e\u003c/sup\u003e. Based on core observations and thin section analyses, five principal diagenetic facies of the Ordovician system have been identified according to the mineral composition and diagenetic structural characteristics of dolomites, in conjunction with three developmental stages: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies (Table\u0026nbsp;\u003cspan refid=\"Tab2\" class=\"InternalRef\"\u003e2\u003c/span\u003e).\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2.\u003c/strong\u003e Diagenetic facies types and logging response characteristics of dolomite reservoir.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"644\" height=\"709\"\u003e\u003c/p\u003e\n\u003c/div\u003e\u003cdiv id=\"Sec19\" class=\"Section2\"\u003e\u003ch2\u003eQuasi-syngenetic dolomitization facies (QSDF)\u003c/h2\u003e\u003cp\u003eDuring the period of low sea level or relative sea level decline, the quasi-syngenetic dolomitization facies is formed in the tidal flat evaporation environment. Rocks typically retain excellent original sedimentary structures. Due to being rich in non-radioactive dolomite minerals, the GR value is relatively low. The gypsum mold pores formed by the hydration of evaporative gypsum salts will decrease the relative density of rocks. DEN is the median value, CNL and AC are the median value, RLLD is the relatively high value, and the rocks contain certain calcareous components, so the PE value is relatively high.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\u003ch2\u003eAtmospheric freshwater dissolution facies (AFDF)\u003c/h2\u003e\u003cp\u003eThe atmospheric freshwater dissolution facies is mainly developed in the near-surface atmospheric fresh water environment, and a large number of dissolution pores, cracks and fissures of different scales are formed in the rock, which significantly alters the pore structure of the original rock. The internal fracture connectivity is good, the mud content is low, the GR is relatively low, the DEN is low, the CNL and AC are high, and the RLLD is high.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\u003ch2\u003eWeathered karst breccia facies (WKBF)\u003c/h2\u003e\u003cp\u003eThe weathered karst breccia facies is accompanied by karst collapse, and the fractures and karst caves are often filled with fine debris and clay, with a medium clay content. GR is the median value, DEN is the relatively high value, CNL and AC are the relatively high value, and the RLLD curve fluctuates significantly on the logging curves of corresponding intervals.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e\u003ch2\u003eArgillic filling facies (AFF)\u003c/h2\u003e\u003cp\u003eThe lithology of the argillic filling facies is fine silty dolomite, which is filled by terrigenous clastic material and argillaceous complex with a high argillaceous content. The structure is loose due to the influence of supergene karst. Such diagenesis facies has an extremely high GR, an extremely low DEN, a high CNL and AC, and clay minerals have high hydrophilicity and ion exchange capacity, so RLLD is low.\u003c/p\u003e\u003cdiv id=\"Sec23\" class=\"Section3\"\u003e\u003ch2\u003eBuried dissolution facies (BDF)\u003c/h2\u003e\u003cp\u003eThe lithology of the buried dissolution facies is fine silty dolomite, and the pores are well developed and mostly unfilled. Most of the original rock structure has disappeared, and the residual particle structure can be seen, mostly secondary solution pores. The GR is at a relatively low value, the DEN is at a low-median value, the CNL and AC are at the median value, and the mud content is relatively low in the logging curve of the corresponding interval.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec24\" class=\"Section2\"\u003e\u003ch2\u003eQuantitative Logging Identification\u003c/h2\u003e\u003cp\u003eThe 85 rock samples selected are representative of the fracture-cavity type and matric type dolomites of secondary geomorphic units. Intersection analysis was carried out with six types of logging curves, namely PE, DEN, GR, AC, CNL, and RLLD, which are highly sensitive to diagenetic facies (Fig.\u0026nbsp;7). The DEN curve can reflect the total porosity of the reservoirs, while the PE curve can precisely indicate the lithology of carbonate rocks. There are incomplete dolomitization calcareous components in the quasi-syngenetic dolomitization facies, mainly micrite, with the PE value being the highest and the DEN value being high. During the process of karst leaching, a large number of dissolution pores are formed, increasing the porosity. The DEN value is relatively low, and the RLLD value of the gas reservoirs development section is high. The weathered karst breccia facies is mainly affected by karst collapse, and terrigenous clastic material is significantly filled and cemented, reducing rock porosity. Therefore, the DEN shows a high value, the CNL shows a low value, and the GR shows a medium-high value. The argillic filling facies can be easily distinguished on the logging curve. A large amount of mud filling makes the GR show an extremely high value, the DEN show a low value, and the AC show a high value. The buried dissolution facies is less affected by surface corrosion, so the mud content is low, the GR and PE values are low, and the DEN and RLLD curves show low-median values.\u003c/p\u003e\u003cp\u003eBased on the intersection analysis of typical logging parameters, the diagenetic facies division program was formulated using the boundary equation. The diagenetic facies region was subdivided and defined by this equation, and the identification chart of diagenetic facies logging intersection was established (Fig.\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e8\u003c/span\u003e). In the PE-DEN intersection diagram, the boundary conditions of the quasi-syngenetic dolomitization facies are as follows: PE\u0026thinsp;\u0026gt;\u0026thinsp;2.91. The boundary conditions of the argillic filling facies are: PE\u0026thinsp;\u0026lt;\u0026thinsp;2.91 and PE\u0026lt;-18.2DEN\u0026thinsp;+\u0026thinsp;45.32. The boundary conditions of the atmospheric freshwater dissolution facies are PE\u0026thinsp;\u0026lt;\u0026thinsp;2.91, PE\u0026gt;-18.2DEN\u0026thinsp;+\u0026thinsp;45.32, PE\u0026thinsp;\u0026gt;\u0026thinsp;1.09DEN-0.16, and DEN\u0026thinsp;\u0026lt;\u0026thinsp;2.69. The boundary conditions of the buried dissolution facies are PE\u0026thinsp;\u0026lt;\u0026thinsp;1.09DEN-0.16, DEN\u0026thinsp;\u0026lt;\u0026thinsp;2.69, and PE\u0026gt;-18.2DEN\u0026thinsp;+\u0026thinsp;45.32. The boundary conditions of the weathered karst breccia facies are DEN\u0026thinsp;\u0026gt;\u0026thinsp;2.69 and PE\u0026thinsp;\u0026lt;\u0026thinsp;2.91. The intersection diagrams of DEN-PE, RLD-PE, and RLD-AC are taken as examples. Figure\u0026nbsp;\u003cspan refid=\"Fig6\" class=\"InternalRef\"\u003e8\u003c/span\u003ea, b, and c show the identification process.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIn the AC-RLLD identification program, if AC\u0026thinsp;\u0026gt;\u0026thinsp;217.3, it is determined to be the argillic filling facies; otherwise, check whether AC\u0026thinsp;\u0026gt;\u0026thinsp;0.13RLLD\u0026thinsp;+\u0026thinsp;134.6 and AC\u0026lt;-0.55RLLD\u0026thinsp;+\u0026thinsp;431.5. If so, it is identified as the buried dissolution facies; if not, check whether AC\u0026thinsp;\u0026lt;\u0026thinsp;0.13RLLD\u0026thinsp;+\u0026thinsp;134.6 and AC\u0026thinsp;\u0026lt;\u0026thinsp;0.3RLLD\u0026thinsp;+\u0026thinsp;215.1. If not, it is regarded as the quasi-syngenetic dolomitization facies; if not, check whether AC\u0026lt;-0.55RLLD\u0026thinsp;+\u0026thinsp;431.5, AC\u0026thinsp;\u0026lt;\u0026thinsp;0.13RLLD\u0026thinsp;+\u0026thinsp;134.6, and AC\u0026thinsp;\u0026gt;\u0026thinsp;0.3RLLD\u0026thinsp;+\u0026thinsp;215.1. If not, it is distinguished as the weathered karst breccia facies; if not, check whether AC\u0026gt;-0.55RLLD\u0026thinsp;+\u0026thinsp;431.5 and AC\u0026thinsp;\u0026lt;\u0026thinsp;217.3, and further determine if it belongs to the atmospheric freshwater dissolution facies.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eTo verify the validity of the diagenetic facies identification method, the log interpretation results of well Y39 were compared with those obtained from thin section analysis (Fig.\u0026nbsp;\u003cspan refid=\"Fig7\" class=\"InternalRef\"\u003e9\u003c/span\u003e). It was found that argillic filling facies in the Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e1\u003c/sup\u003e Member (3601.8\u0026ndash;3602.3m) was interpreted as weathered karst breccia facies, which was presumed to be caused by the high degree of mud filling and breccia collapse. AC and RLLD with a larger detection range can be employed to identify this. The statistical data of multiple wells show that the coincidence rate between the identification results of logging interpretation and the diagenesis analyzed by thin section reaches up to 82.8%. Additionally, the diagenetic facies has a good longitudinal correspondence with the measured porosity, and the atmospheric freshwater dissolution facies has the best physical property, with an average porosity of 5.16%. The physical properties of the quasi-syngenetic dolomitization facies and the buried dissolution facies are secondary, with the average porosity being 3.63% and 3.92% respectively. The physical properties of the weathered karst breccia facies and the argillic filling facies are poor, with the average porosity being 1.81% and 0.94% respectively. The results of diagenetic facies logging interpretation are in good accordance with the petrological prediction results, indicating that the boundary equation has certain feasibility in diagenetic facies identification.\u003c/p\u003e\u003cp\u003eThe above analysis reveals that the quantitative identification of diagenetic facies by DEN-PE boundary is feasible and reliable. When there is no PE logging data or deviation of DEN-PE boundary identification results, alternative methods such as RLLD-AC and CNL-RLLD can be utilized to further correct the interpretation accuracy of diagenetic facies.\u003c/p\u003e\u003cdiv id=\"Sec25\" class=\"Section3\"\u003e\u003ch2\u003eDistribution of Diagenetic Facies and Favorable Areas\u003c/h2\u003e\u003cp\u003eBased on the construction of the logging boundary model and test optimization, the longitudinal identification of diagenetic facies was carried out for all wells within the study area. As illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig8\" class=\"InternalRef\"\u003e10\u003c/span\u003e, the well connection profile traverses each secondary paleogeomorphic unit in an east-west orientation, elucidating the overarching pattern of diagenetic facies development. Within this area, the atmospheric freshwater dissolution facies, the quasi-syngenetic dolomitization facies, and the buried dissolution facies exhibit widespread distribution; however, the spatial arrangement of these facies varies significantly across different landforms and vertical depth.\u003c/p\u003e\u003cp\u003eFrom the viewpoint of varying depths, the upper strata (Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e1\u003c/sup\u003e - Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e3\u003c/sup\u003e) predominantly feature the atmospheric freshwater dissolution facies and weathered karst breccia facies, with these two diagenetic facies alternating longitudinally, primarily influenced by paleogeomorphic uplift and erosion. In the mid-strata (Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e3\u003c/sup\u003e - Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e4\u003c/sup\u003e), certain quasi-syngenetic dolomitization facies have developed, while at the top and bottom of the Ma5\u003csub\u003e1\u003c/sub\u003e\u003csup\u003e4\u003c/sup\u003e and Ma5\u003csub\u003e2\u003c/sub\u003e\u003csup\u003e1\u003c/sup\u003e formations, distinct sedimentary discontinuities are observed, indicating the long-distance transport of terrigenous clastic materials. At the lower part of the formation (Ma5\u003csub\u003e2\u003c/sub\u003e\u003csup\u003e1\u003c/sup\u003e - Ma5\u003csub\u003e2\u003c/sub\u003e\u003csup\u003e2\u003c/sup\u003e), the buried dissolution facies dominate, with some quasi-syngenetic dolomitization facies also present. This phenomenon is attributed, on one hand, to the micrite dolomite formed during the quasi-syngenetic sedimentation period being less prone to external condition interference, and on the other hand, to the fine-grained dolomite being susceptible to dissolution by overlying acidic fluids during the burial period.\u003c/p\u003e\u003cp\u003e\u003c/p\u003e\u003cp\u003eIn conjunction with the paleogeomorphic context, the atmospheric freshwater dissolution facies and the quasi-syngenetic dolomitization facies exhibit robust dissolution capabilities and favorable physical properties, predominantly occurring in the central karst slope and both sides of the grooves. The buried dissolution facies are situated in the western karst highland and the eastern karst basin, also demonstrating good physical characteristics. Extensive areas of weathered karst breccia facies are found in the low plateau region at the center of the platform, while the argillic filling facies, characterized by high cementation and inferior physical properties, is primarily located in the valleys and low-lying areas within the grooves. Consequently, for future gas reservoir exploration, priority should be given to favorable regions such as the gentle hills on the karst slopes in the middle and both sides of grooves (Fig.\u0026nbsp;11).\u003c/p\u003e"},{"header":"Conclusion","content":"\u003cp\u003e(1) The diagenetic environment of the Majiagou Formation primarily encompasses marine sedimentary setting, atmospheric precipitation setting, and burial diagenetic setting. Over extended periods of geological transformation, a variety of diagenetic processes have emerged, including dissolution, fracturing, dolomitization, pressure solution, and recrystallization. Presently, the cements filling the dissolution cavities predominantly consist of dolomite, calcite, quartz, kaolinite, illite, potash feldspar, etc. These diverse fill materials originate from distinct sedimentary settings.\u003c/p\u003e\u003cp\u003e(2) Based on core observation and thin section identification, in accordance with the dolomite mineral composition and diagenetic structure characteristics, combined with the three diagenetic development stages, five main diagenetic facies of the Ordovician system are identified: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies. The PE-DEN and PE-RLLD crossplot methodologies serve as effective means for the quantitative identification of diagenetic facies in low-permeability dolomites, achieving a concordance rate of 82.8% between log interpretations and thin section analyses. Moreover, supplementary techniques such as RLLD-AC and CNL-RLLD can enhance the precision of diagenetic facies interpretation.\u003c/p\u003e\u003cp\u003e(3) Influenced by paleogeomorphic uplift and erosion, the atmospheric freshwater dissolution facies and weathered karst breccia facies are predominantly observed at the formation's upper strata, whereas the lower strata are more susceptible to overlying acidic fluid dissolution during the burial phase, leading to the predominant development of the buried dissolution facies. The dissolution intensity of atmospheric freshwater dissolution facies and quasi-syngenetic dolomitization facies is significant, resulting in favorable physical properties. Integrating the paleogeomorphic context, regions such as the gentle hills on the karst slopes and both sides of grooves are recommended as prime targets for future gas reservoir exploration.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eCompeting interests\u003c/strong\u003e\u003cp\u003eThe authors declare no competing interests.\u003c/p\u003e\u003c/p\u003e\u003ch2\u003eFunding\u003c/h2\u003e\u003cp\u003eOpen access funding provided by Natural Gas Research Institute of Shaanxi Yanchang Petroleum (Group) Co., Ltd.\u003c/p\u003e\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eMethodology: Y.Z., Z.J.S., M.Z. Investigation: C.W., F.M.Y. Writing\u0026mdash;original draft: D.Z.H. Writing\u0026mdash;final raft: Y.Z., C.J.H. All authors reviewed the manuscript.\u003c/p\u003e\u003ch2\u003eAcknowledgements\u003c/h2\u003e\u003cp\u003eWe thank Shaanxi Yanchang Petroleum Gas Field Company for permission to use industry data for this research.\u003c/p\u003e\u003ch2\u003eData Availability\u003c/h2\u003e\u003cp\u003eData is provided within the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eRussell, A. D. \u0026amp; Morford, J. L. The behavior of redox-sensitive metals across a laminated-massive-laminated transition in Saanich Inlet, British Columbia. \u003cem\u003eMar. Geol\u003c/em\u003e. \u003cstrong\u003e174 \u003c/strong\u003e(1/4):341-354 (2001).\u003c/li\u003e\n\u003cli\u003eWarren, J. K. Evaporites through time: Tectonic, climatic and eustatic controls in marine and nonmarine deposits. \u003cem\u003eEarth-Sci. Rev.\u003c/em\u003e \u003cstrong\u003e98\u003c/strong\u003e (3/4): 217-268 (2010).\u003c/li\u003e\n\u003cli\u003eMohammadi, Z., Mehrabi, H., Gharechelou, S., Jalali, M. \u0026amp; Swennen, R. Stratigraphic architecture and depositional-diagenetic evolution of Oligocene\u0026ndash;Miocene carbonate-evaporite platform in the southern margin of the Neo-Tethys Ocean, Lurestan zone of Zagros, Ira. \u003cem\u003eJ. Asian. Earth. Sci.\u003c/em\u003e \u003cstrong\u003e233\u003c/strong\u003e (1): 105249 (2022).\u003c/li\u003e\n\u003cli\u003eKibikas, W. M., Ghassemi, A. \u0026amp; Carpenter, B. M. Evaluating the mechanical properties of carbonate and evaporite caprocks in the Sichuan Basin. \u003cem\u003eJ. Asian. Earth. Sci. \u003c/em\u003e\u003cstrong\u003e6\u003c/strong\u003e (1): 100063 (2021). \u003c/li\u003e\n\u003cli\u003eDymond, J., Suess, E., Lyle, M. Barium in deep-sea sediment: A geochemical proxy for paleoproductivity. \u003cem\u003ePaleoceanography\u003c/em\u003e. \u003cstrong\u003e7\u003c/strong\u003e (2): 163-181 (1992).\u003c/li\u003e\n\u003cli\u003eCarlos, C., et al. Stratigraphic and sedimentary constraints on presalt carbonate reservoirs of the South Atlantic Margin, Santos Basin, offshore Brazil. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e106\u003c/strong\u003e (12): 2513-2546 (2022).\u003c/li\u003e\n\u003cli\u003ePaytan, A., Kastner, M. \u0026amp; Chavez, F. P. Glacial to interglacial fluctuations in productivity in the equatorial pacific as indicated by marine barite. \u003cem\u003eScience.\u003c/em\u003e \u003cstrong\u003e274\u003c/strong\u003e (5291): 1355-1357 (1996).\u003c/li\u003e\n\u003cli\u003eFisher, W. L., Peter, U. \u0026amp; Rodda, E. Formation (LowerCretaceous), Texas: Dolomitization in a Carbonate Platform System1. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e53\u003c/strong\u003e (1): 55-72 (1969).\u003c/li\u003e\n\u003cli\u003eBecker, F. \u0026amp; Bechst\u0026auml;dt, T. Sequence stratigraphy of a carbonate-evaporite succession (Zechstein 1, Hessian Basin, Germany). \u003cem\u003eSedimentology\u003c/em\u003e. \u003cstrong\u003e53\u003c/strong\u003e (5): 1083-1120 (2006).\u003c/li\u003e\n\u003cli\u003eQuijada, E. I., Benito, I. M., Pablo, S. G., Marta, R. M. \u0026amp; Sonia, C. S. Challenges to carbonate-evaporite peritidal facies models and cycles: Insights from Lower Cretaceous stromatolite-bearing deposits (Oncala Group,N Spain). \u003cem\u003eSediment. Geol.\u003c/em\u003e \u003cstrong\u003e408\u003c/strong\u003e (1): 105752 (2020).\u003c/li\u003e\n\u003cli\u003eJean, B. et al. Quantitative carbonate sequence stratigraphy: Insights from stratigraphic forward models. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e104\u003c/strong\u003e (5): 1115-1142 (2020).\u003c/li\u003e\n\u003cli\u003eBolaji, T. A. et al. Preliminary geochemical characterization of saline Formation water from Miocene reservoirs, offshore Niger delta. \u003cem\u003eHeliyon\u003c/em\u003e. \u003cstrong\u003e7\u003c/strong\u003e (2): e06281 (2021).\u003c/li\u003e\n\u003cli\u003eMcmanus, J. et al. Geochemistry of barium in marine sediments: Implications for its use as a paleoproxy. \u003cem\u003eGeochim. Cosmochim. Ac\u003c/em\u003e. \u003cstrong\u003e62 \u003c/strong\u003e(21/22): 3453-3473 (1998).\u003c/li\u003e\n\u003cli\u003eAdams, J. A. S. \u0026amp; Weaver, C. E. Thorium-to-uranium ratios as indicators of sedimentary processes: Example of concept of geochemical facies. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e42 \u003c/strong\u003e(2): 387-430 (1958).\u003c/li\u003e\n\u003cli\u003eHenderson, G. M. New oceanic proxies for paleoclimate. \u003cem\u003eEarth Planet Sc Lett.\u003c/em\u003e \u003cstrong\u003e203\u003c/strong\u003e (1): 1-13 (2002).\u003c/li\u003e\n\u003cli\u003eAbou, E. K. \u0026amp; Matsumoto, R. Diagenesis and pervasive dolomitization of pre- and post evaporite shallow marine carbonates, Ras Banas Peninsula, Red Sea Coast, Egypt. \u003cem\u003eArab. J. Geosci.\u003c/em\u003e \u003cstrong\u003e15\u003c/strong\u003e (16): 1403 (2022).\u003c/li\u003e\n\u003cli\u003eSchroeder, J. O., Murray, R. W., Leinen, M., Pflaum, R. C. \u0026amp; Janecek, T. R. Barium in equatorial Pacific carbonate sediment: Terrigenous, oxide, and biogenic associations. \u003cem\u003ePaleoceanography\u003c/em\u003e. \u003cstrong\u003e12\u003c/strong\u003e (1): 125-146 (1997).\u003c/li\u003e\n\u003cli\u003eTribovillard, N., Algeo, T. J., Baudin, F. \u0026amp; Riboulleau, A. Analysis of marine environmental conditions based onmolybdenum-uranium covariation-Applications to Mesozoic paleoceanography. \u003cem\u003eChem. Geol.\u003c/em\u003e \u003cstrong\u003e324/325\u003c/strong\u003e: 46-58 (2012).\u003c/li\u003e\n\u003cli\u003eGinsburg, R. N. \u0026amp; Lowenstam, H. A. The influence of marine bottom communities on the depositional environments of sediments. \u003cem\u003eJ. Geol.\u003c/em\u003e \u003cstrong\u003e66\u003c/strong\u003e (3): 310-318 (1958).\u003c/li\u003e\n\u003cli\u003eEmilio, C. et al. Sedimentary evolution of a Late Triassic salt giant and a synchronous carbonate unit between the Peruvian Andean Cordillera and the Brazilian Amazonian foreland. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e107\u003c/strong\u003e (1): 123-150 (2023).\u003c/li\u003e\n\u003cli\u003eXu, Y. J., Du, Y. S., Cawood, P. A. \u0026amp; Yang, J. H. Provenance record of a foreland basin: Detrital zircon U-Pb ages from Devonian strata in the North Qilian Orogenic Belt, China. \u003cem\u003eTectonophysics\u003c/em\u003e. \u003cstrong\u003e495 \u003c/strong\u003e(3/4): 337-347 (2010).\u003c/li\u003e\n\u003cli\u003eZhang, G. W. et al. Orogenesis and dynamics of the Qinling Orogen. \u003cem\u003eSci. China. Ser. D\u003c/em\u003e. \u003cstrong\u003e39 \u003c/strong\u003e(3): 225-234 (1996).\u003c/li\u003e\n\u003cli\u003eZhao, W. Z., Zeng, H. L., Xu, Z. H., Hu, S. Y. \u0026amp; Fu, Q. L. Seismic sedimentology of a broad, low-relief carbonate platform: The Cambrian Longwangmiao Formation, Moxi-Gaoshiti area, Sichuan Basin, China. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e108\u003c/strong\u003e (3): 547-575 (2024).\u003c/li\u003e\n\u003cli\u003eZhao, W. Z. et al. Lithology mapping of a mixed siliciclastic-carbonate-evaporite system using 3D seismic and well data: Lower Triassic Jialingjiang Formation, Sichuan Basin, southwestern China. \u003cem\u003eMar. Petrol. Geol.\u003c/em\u003e \u003cstrong\u003e93\u003c/strong\u003e (1): 422-436 (2018).\u003c/li\u003e\n\u003cli\u003eZhao, G. C. et al. Geological reconstructions of the East Asian blocks: From the breakup of Rodinia to the assembly of Pangea. \u003cem\u003eEarth-Sci. Rev\u003c/em\u003e. \u003cstrong\u003e186\u003c/strong\u003e: 262-286 (2018).\u003c/li\u003e\n\u003cli\u003eShi, S. Y. et al. Hydrocarbon accumulation in deep ancient carbonate-evaporite assemblages. Petrol. Explor. Dev+. \u003cstrong\u003e51\u003c/strong\u003e (1): 54-68 (2024) .\u003c/li\u003e\n\u003cli\u003eYang, Z. et al. Indication of Formation water geochemistry for hydrocarbon preservation: New applications of machine learning in tight sandstone gas reservoirs. \u003cem\u003eAcs. Omega.\u003c/em\u003e \u003cstrong\u003e7\u003c/strong\u003e (41): 36263-36276 (2022).\u003c/li\u003e\n\u003cli\u003eJiang, L., Richard, H. W., Cai, C. F. \u0026amp; Shen, A. J. Diagenesis of an evaporite-related carbonate reservoir in deeply buried Cambrian strata, Tarim Basin, northwest China. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e102\u003c/strong\u003e (1): 77-102 (2018).\u003c/li\u003e\n\u003cli\u003eZhang, D. L., Zhang, H. B., Ren, Q., Zhao, X. \u0026amp; Shang, Z. P. A modified method of multiple point geostatistics for spatial simulation of sedimentary facies for carbonate reservoirs. \u003cem\u003eJ. Appl. Geophys\u003c/em\u003e. \u003cstrong\u003e215\u003c/strong\u003e: 05112 (2023).\u003c/li\u003e\n\u003cli\u003eLi, W., Tu, J. Q., Zhang, J. \u0026amp; Zhang, B. Accumulation and potential analysis of self-sourced natural gas in the Ordovician Majiagou Formation of Ordos Basin, NW China. \u003cem\u003ePertol. Explor. Dev+.\u003c/em\u003e \u003cstrong\u003e44\u003c/strong\u003e (4): 552-562 (2017).\u003c/li\u003e\n\u003cli\u003eWorden, R. H., Manning, D. A. C. \u0026amp; Bottrell, S. H. Multiple generations of high salinity Formation water in the Triassic Sherwood sandstone: Wytch farm oilfield, onshore UK. \u003cem\u003eAppl. Geochem.\u003c/em\u003e \u003cstrong\u003e21\u003c/strong\u003e (3): 455-475 (2006).\u003c/li\u003e\n\u003cli\u003eWei, W. \u0026amp; Algeo, T. J. Elemental proxies for paleosalinity analysis of ancient shales and mudrocks. \u003cem\u003eGeochim. Cosmochim. Ac.\u003c/em\u003e \u003cstrong\u003e287\u003c/strong\u003e: 341-366 (2020).\u003c/li\u003e\n\u003cli\u003eHu, C. L. et al. Tectonic and paleogeographic controls on development of the Early-Middle Ordovician Shanganning carbonate platform, Ordos Basin, North China. \u003cem\u003eAAPG. Bull.\u003c/em\u003e \u003cstrong\u003e104\u003c/strong\u003e (3): 565-593 (2020).\u003c/li\u003e\n\u003cli\u003eGao, G. M., Kang, G. F., Li, G. Q. \u0026amp; Bai, C. H. Crustal magnetic anomaly in the Ordos region and its tectonic implications. \u003cem\u003eJ. Asian. Earth. Sci.\u003c/em\u003e \u003cstrong\u003e109\u003c/strong\u003e: 63-73 (2015).\u003c/li\u003e\n\u003cli\u003eZhang, Y. X. et al. TOC estimation from logging data using principal component analysis. \u003cem\u003eEnergy Geoscience\u003c/em\u003e. \u003cstrong\u003e4\u003c/strong\u003e (4): 100197 (2023).\u003c/li\u003e\n\u003cli\u003eHe, J. Y., Qing, H. R. \u0026amp; Xu, B. The unconformity-related palaeokarst in the uppermost Ediacaran carbonate rocks in the northwestern Tarim Block, NW China: implication for sedimentary evolution during the Ediacaran-Cambrian transition. \u003cem\u003eInt. Geol. Rev.\u003c/em\u003e \u003cstrong\u003e61\u003c/strong\u003e (7): 839-852 (2019).\u003c/li\u003e\n\u003cli\u003eZhang, T. G., Shen, Y. N. \u0026amp; Algeo, T. J. High-resolution carbon isotopic records from the Ordovician of South China: Links to climatic cooling and the Great Ordovician Biodiversification Event (GOBE). \u003cem\u003ePalaeogeogr. Palaeocl.\u003c/em\u003e \u003cstrong\u003e289\u003c/strong\u003e (1/4): 102-112 (2010).\u003c/li\u003e\n\u003cli\u003eFu, D., Huang, B., Johnson, T. E. \u0026amp; Wilde, S. Boninitic blueschists record subduction initiation and subsequent accretion of an arc-forearc in the northeast Proto-Tethys Ocean. \u003cem\u003eGeology\u003c/em\u003e. \u003cstrong\u003e50\u003c/strong\u003e (1): 10-15 (2022).\u003c/li\u003e\n\u003cli\u003eZhen, Y. Y., Zhang, Y. D., Wang, Z. H. \u0026amp; Percival, I. G. Huaiyuan epeirogeny-shaping Ordovician stratigraphy and sedimentation on the north China platform. \u003cem\u003ePalaeogeogr. Palaeocl.\u003c/em\u003e \u003cstrong\u003e448\u003c/strong\u003e: 363-370 (2016).\u003c/li\u003e\n\u003cli\u003eSu, Z. T., Ma, H., Hu, S. L., Liu, G. Q. \u0026amp; Luo, J. L. Early dolomitization and subsequent recrystallization of Middle Ordovician carbonates in the western flank of the Ordos Basin， Northern China: Implications for hydrocarbon exploration. \u003cem\u003eJ. Asian. Earth. Sci\u003c/em\u003e. \u003cstrong\u003e233\u003c/strong\u003e: 105241 (2022).\u003c/li\u003e\n\u003cli\u003eYang, F. et al. Polyphase palaeokarst development in complex tectonic regimes: a case from Mesoproterozoic Wumishan formation in Jizhong depression, North China. \u003cem\u003eCarbonate. Evaporite.\u003c/em\u003e \u003cstrong\u003e34\u003c/strong\u003e (3): 857-868 (2019).\u003c/li\u003e\n\u003cli\u003eYu, H. Y. et al. Gas and water distribution of Ordovician Majiagou Formation in Northwest of Ordos Basin, NW China. \u003cem\u003ePetrol. Explor. Dev+\u003c/em\u003e. \u003cstrong\u003e43\u003c/strong\u003e (3): 435-442 (2016).\u003c/li\u003e\n\u003cli\u003eXie, X. N., Jiu, J. J., Li, S. T. \u0026amp; Cheng, J. M. Salinity variation of Formation water and diagenesis reaction in abnormal pressure environments. \u003cem\u003eSci. China. Ser. D.\u003c/em\u003e \u003cstrong\u003e46\u003c/strong\u003e (3): 269-284 (2003).\u003c/li\u003e\n\u003cli\u003eHe, J. et al. Reservoir Control Mechanism of Dolomite and Sulfate Rock Compound Palaeokarst in Weathering Crust. \u003cem\u003eJ. Coastal. Res.\u003c/em\u003e \u003cstrong\u003e104\u003c/strong\u003e (1): 768-774 (2020).\u003c/li\u003e\n\u003cli\u003eWest, I. M., Ali, Y. A. \u0026amp; Hilmy, M. E. Primary gypsum nodules in a modern sabkha on the Mediterranean coast of Egypt. \u003cem\u003eGeology.\u003c/em\u003e \u003cstrong\u003e7\u003c/strong\u003e (7): 354-358 (1979).\u003c/li\u003e\n\u003cli\u003eXiong, Y. et al. Petrogenesis of the Eocene lacustrine evaporites in the western Qaidam Basin: Implications for regional tectonic and climate changes. \u003cem\u003eSedimeny. Geol.\u003c/em\u003e \u003cstrong\u003e416\u003c/strong\u003e: 105867 (2021).\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Diagenetic facies, Low permeability dolomite, Logging identification, Paleotopography, Ordos Basin","lastPublishedDoi":"10.21203/rs.3.rs-7470577/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7470577/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLow-permeability dolomite reservoirs undergo multiple-stage diagenetic transformations, resulting in complex pore networks and pronounced heterogeneity that challenge reservoir prediction. Focusing on the Ordovician Majiagou Formation dolomite reservoir in the Yan'an Gas Field, China, this study integrates cathodoluminescence, scanning electron microscopy, and statistical logging crossplots to establish a quantitative framework for diagenetic facies classification. The results indicate that diagenetic environment of the Majiagou Formation primarily comprises seawater sedimentary setting, atmospheric leaching setting, and burial diagenetic setting. Five principal diagenetic facies were identified within the dolomite reservoir: quasi-syngenetic dolomitization facies, atmospheric freshwater dissolution facies, weathered karst breccia facies, argillic filling facies, and buried dissolution facies. The PE-DEN and PE-RLLD crossplot techniques achieves 82.8% identification accuracy against thin section analysis. Additionally, alternative approaches such as RLLD-AC and CNL-RLLD crossplots providing supplementary discrimination. Influenced by paleogeomorphic uplift and denudation, the atmospheric freshwater dissolution facies and weathered karst breccia facies are predominantly developed at the formation's upper strata, whereas the base of the formation is more susceptible to overlying acid fluid dissolution during the burial phase, leading to the predominance of the buried dissolution facies. The dissolution intensity of atmospheric freshwater dissolution facies and quasi-syngenetic dolomitization facies is significant, resulting in favorable physical properties. Integrating the paleogeomorphic context, regions such as the gentle hills on the karst slopes and both sides of grooves are recommended as prime targets for future gas reservoir exploration. This research is applicable to carbonate basins with analogous tectonic settings, enabling systematically evaluate diagenetic facies in low-permeability dolomite reservoirs.\u003c/p\u003e","manuscriptTitle":"Log-Based Identification and Distribution Characteristics of Diagenetic Facies in Low Permeability Dolomite Reservoirs","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-09-18 11:45:25","doi":"10.21203/rs.3.rs-7470577/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"02f24b61-e89b-4312-8c54-5d1eb4968d7f","owner":[],"postedDate":"September 18th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[{"id":54894426,"name":"Earth and environmental sciences/Environmental sciences"},{"id":54894427,"name":"Earth and environmental sciences/Solid earth sciences"}],"tags":[],"updatedAt":"2025-09-23T09:53:56+00:00","versionOfRecord":[],"versionCreatedAt":"2025-09-18 11:45:25","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7470577","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7470577","identity":"rs-7470577","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}