Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China

Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China | 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 Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China xiaolin Wang, xiaomin zhu, xiaoli zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2457240/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 8 You are reading this latest preprint version Abstract Low-resistivity pay have been found throughout the world, the identification and characterization of low-resistivity pay is very challenging and important for the development of oil fields. The genesis of the low-resistivity oil pay is complex, and the logging response characteristics are variable. The weak difference in resistivity between the oil pay and the adjacent water pay makes it difficult to identify kinds of fluids by resistivity log analysis, which reduces the overall exploration benefit of the oilfield. Therefore, it is very important to study the genesis and identification technology of the low-resistivity oil pay. In this paper, we first analyzed the core experimental results such as X-ray diffraction scanning electron microscope, mercury intrusion, phase permeability, nuclear magnetic resonance, physical properties, electric petrophysical experiment, micro-CT technology and rock wettability, etc. Comprehensive analysis of the reservoir characteristics shows that the development of low-resistivity oil pays in the study area is controlled by irreducible water saturation and high gamma ray sandstone. The complicated pore structure and rock hydrophilicity are the factors that lead to the increase of irreducible water saturation. Then, the salinity of formation water and the invasion of drilling fluid also have a certain influence on the change of reservoir resistivity. According to the controlling factors of the low- resistivity oil pay, we extract the sensitive parameters to the logging response, amplify the difference between oil and water pay, and use the AC-R ILD , SP-PSP, GR*GR*∆SP-R ILD and(R ILM -R ILD )/R ILD —R ILD cross-plots, etc. Various methods such as cross-plots method, overlap method and movable water analysis are mutually constrained to identify low-resistivity oil pays. In the case study, the comprehensive application of the above identification flow path can effectively improve the accuracy of fluid recognition step by step. It provides reference for identifying more low-resistivity reservoirs with similar geological conditions. Physical sciences/Energy science and technology Physical sciences/Engineering Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Major revision 06 May, 2023 Reviews received at journal 25 Apr, 2023 Reviewers agreed at journal 12 Apr, 2023 Reviewers invited by journal 31 Mar, 2023 Editor assigned by journal 23 Mar, 2023 Editor invited by journal 11 Jan, 2023 Submission checks completed at journal 11 Jan, 2023 First submitted to journal 08 Jan, 2023 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. We do this by developing innovative software and high quality services for the global research community. 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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-2457240","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":166863384,"identity":"c0ec54e7-08bf-463c-b8a0-9cf343073809","order_by":0,"name":"xiaolin Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAyUlEQVRIiWNgGAWjYBAC+/b+B4f/VNjIsbE3EKnFgOcM4wGeM2nGfDwHiNUikcN8gLftcOI8iQQitZgz5B44INmWZswm+XjjDYYam2iCWiwbziUcMDgH9It0WrEFw7G03AaCeg42GBxIKAPaIp1jJsHYcJgILYcZDA4cYDuc2CZ5hkgtBsd4DA42AL3fJsFDpBbJHraEwwzAQGbjAfolgRi/8Ms/PvyZARiV8u2HN974UGNDhF+QHUl01CBpIVXHKBgFo2AUjAwAAI67QkgUBtgCAAAAAElFTkSuQmCC","orcid":"","institution":"China University of Petroleum (Beijing)","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"xiaolin","middleName":"","lastName":"Wang","suffix":""},{"id":166863385,"identity":"b168bac9-d552-443b-bbe9-81f4eeefdb61","order_by":1,"name":"xiaomin zhu","email":"","orcid":"","institution":"China University of Petroleum (Beijing)","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"xiaomin","middleName":"","lastName":"zhu","suffix":""},{"id":166863386,"identity":"ab605105-3010-485e-ac8e-bfaa5ae84a8b","order_by":2,"name":"xiaoli zhang","email":"","orcid":"","institution":"Northwest University","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"xiaoli","middleName":"","lastName":"zhang","suffix":""}],"badges":[],"createdAt":"2023-01-09 04:14:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2457240/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2457240/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":31521111,"identity":"d91d1410-d29a-4865-b9d3-59ec52c4dd77","added_by":"auto","created_at":"2023-01-13 08:09:10","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2797635,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2457240/v1_covered.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-2457240/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2457240/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eLow-resistivity pay have been found throughout the world, the identification and characterization of low-resistivity pay is very challenging and important for the development of oil fields. The genesis of the low-resistivity oil pay is complex, and the logging response characteristics are variable. The weak difference in resistivity between the oil pay and the adjacent water pay makes it difficult to identify kinds of fluids by resistivity log analysis, which reduces the overall exploration benefit of the oilfield. Therefore, it is very important to study the genesis and identification technology of the low-resistivity oil pay. In this paper, we first analyzed the core experimental results such as X-ray diffraction scanning electron microscope, mercury intrusion, phase permeability, nuclear magnetic resonance, physical properties, electric petrophysical experiment, micro-CT technology and rock wettability, etc. Comprehensive analysis of the reservoir characteristics shows that the development of low-resistivity oil pays in the study area is controlled by irreducible water saturation and high gamma ray sandstone. The complicated pore structure and rock hydrophilicity are the factors that lead to the increase of irreducible water saturation. Then, the salinity of formation water and the invasion of drilling fluid also have a certain influence on the change of reservoir resistivity. According to the controlling factors of the low- resistivity oil pay, we extract the sensitive parameters to the logging response, amplify the difference between oil and water pay, and use the AC-R\u003csub\u003eILD\u003c/sub\u003e, SP-PSP, GR*GR*∆SP-R\u003csub\u003eILD\u003c/sub\u003e and(R\u003csub\u003eILM\u003c/sub\u003e-R\u003csub\u003eILD\u003c/sub\u003e)/R\u003csub\u003eILD\u003c/sub\u003e\u0026mdash;R\u003csub\u003eILD\u003c/sub\u003e cross-plots, etc. Various methods such as cross-plots method, overlap method and movable water analysis are mutually constrained to identify low-resistivity oil pays. In the case study, the comprehensive application of the above identification flow path can effectively improve the accuracy of fluid recognition step by step. It provides reference for identifying more low-resistivity reservoirs with similar geological conditions.\u003c/p\u003e","manuscriptTitle":"Genetic mechanisms and multi-parameter logging identification of low-resistivity oil pay: A case study of the Triassic Chang 6 member, Zhidan area, Ordos Basin, China","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2023-01-13 08:08:49","doi":"10.21203/rs.3.rs-2457240/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Major revision","date":"2023-05-06T08:18:50+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2023-04-25T12:11:25+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"ecf1b172-559b-46a3-a2ee-06b79442b958","date":"2023-04-12T20:41:35+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2023-03-31T16:23:14+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2023-03-23T20:17:19+00:00","index":"","fulltext":""},{"type":"editorInvited","content":"","date":"2023-01-11T11:54:39+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2023-01-11T11:50:48+00:00","index":"","fulltext":""},{"type":"submitted","content":"Scientific Reports","date":"2023-01-09T04:08:34+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"65a063de-029c-4544-a96d-43c4b2a9c9d3","owner":[],"postedDate":"January 13th, 2023","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[{"id":18322568,"name":"Physical sciences/Energy science and technology"},{"id":18322569,"name":"Physical sciences/Engineering"}],"tags":[],"updatedAt":"2023-05-27T04:59:13+00:00","versionOfRecord":[],"versionCreatedAt":"2023-01-13 08:08:49","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-2457240","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-2457240","identity":"rs-2457240","version":["v1"]},"buildId":"7rjqhiLT3MXkJMwkYKINL","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}