An innovative seismo-petrophysical characterization of a turbidite sand in the Nam Con Son Basin, using permeability-linked adapted rock physics template (K-ARPT) with reference to gas exploration and carbon storage

An innovative seismo-petrophysical characterization of a turbidite sand in the Nam Con Son Basin, using permeability-linked adapted rock physics template (K-ARPT) with reference to gas exploration and carbon storage | 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 Research Article An innovative seismo-petrophysical characterization of a turbidite sand in the Nam Con Son Basin, using permeability-linked adapted rock physics template (K-ARPT) with reference to gas exploration and carbon storage P. H. Giao, D. H. Hien, P. H. Trang, P. Q. Ngoc, B. V. Dung, H. Q. Man, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4407405/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 The MMF30 sand in the Hai Thach-Moc Tinh (HT-MT) field, located in the Nam Con Son basin (NCSB) offshore Southern Vietnam, is a significant gas condensate-producing reservoir. However, its deep depth and complex, highly-cemented nature pose unique challenges for reservoir characterization. Due to the limited availability of well log data over a large area, seismo-petrophysical characterization of this turbidite sand is particularly challenging. With the declining gas production observed in many fields in the NCSB since 2018 one needs to explore more hydrocarbon reservoirs. Moreover, in line with the ongoing global energy transition, there is a growing interest in carbon capture, utilization and storage (CCUS), which would involve injection of carbon dioxide (CO 2 ) into depleted hydrocarbon reservoirs or deep saline aquifers. For the latter, reservoir characterization efforts must pay a particular attention to mapping the highly permeabley zones within the depleted reservoir that are pertinent for CCS. In this study, we successfully conducted a comprehensive seismo-petrophysical characterization of the MMF30 sand. This was achieved by integrating core testing, well log analysis, machine learning-assisted prediction of permeability, construction of a new Permeability-linked Adapted Rock Physics Template (K-ARPT), and prestack seismic inversion techniques. By combining these methodologies, we were able to address the challenge of characterizing highly-cemented turbidite sands for augmented gas exploration, optimal gas production and potential carbon injection and storage in the near future. Petroleum Geology Geophysics Petroleum Engineering Seismopetrophysical characterization turbidite sand Nam Con Son basin (NCSB) permeability prediction odels Machine learning random forest (FR) rock physical modeling (RPM) permeability-linked adapted rock physics template (K-ARPT) carbon sequestration (CCS) Full Text Additional Declarations The authors declare no competing interests. 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-4407405","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":301469815,"identity":"c325cfe0-6ac1-412e-a10d-cd2bb3a7e87f","order_by":0,"name":"P. H. 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