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- W3197143791 abstract "PreviousNext No AccessFirst International Meeting for Applied Geoscience & Energy Expanded AbstractsFault and fracture prediction of tight gas reservoir based on seismic likelihood attributeAuthors: Meng LiTaizhong DuanHuawei ZhaoMeng LiSINOPEC Exploration & Production Research InstituteSearch for more papers by this author, Taizhong DuanSINOPEC Exploration & Production Research InstituteSearch for more papers by this author, and Huawei ZhaoSINOPEC Exploration & Production Research InstituteSearch for more papers by this authorhttps://doi.org/10.1190/segam2021-3594782.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractTraditional seismic fault prediction attributes have difficulty meeting the needs of accurate characterization of faults and fractures, required at different scales in the exploration and development of tight sandstone gas reservoirs. The Likelihood attribute was introduced for the identification of tight sandstone gas reservoirs, and a fault prediction workflow based on likelihood attribute was established. The Otsu threshold segmentation method was proposed to realize the spatial division of fracture-free zones, fracture development zones and fault development zones. Fault and fracture prediction of the Xu2 Member of Xinchang area in Sichuan Basin of China was achieved. The Likelihood attribute reflects the location of the most likely faults. A fracture density attribute (derived from analysis of the Likelihood attribute), effectively reflects the fracture development strength and enhances the ability of seismic data to describe the faults and fractures. Matching analysis of fracture density and the production dynamic information shows that, the degree of fracture development obviously controls the wells’ production performance. Because they provide gas migration and seepage channels, fracture development is a necessary condition for high gas production layers. The prediction method effectively improves fault and fracture prediction accuracy of Xu2 Member, and has certain reference value for other fractured reservoirs.Keywords: fracture imaging, faults, seismic attributesPermalink: https://doi.org/10.1190/segam2021-3594782.1FiguresReferencesRelatedDetails First International Meeting for Applied Geoscience & Energy Expanded AbstractsISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2021 Pages: 3561 publication data© 2021 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished: 01 Sep 2021 CITATION INFORMATION Meng Li, Taizhong Duan, and Huawei Zhao, (2021), Fault and fracture prediction of tight gas reservoir based on seismic likelihood attribute, SEG Technical Program Expanded Abstracts : 1126-1130. https://doi.org/10.1190/segam2021-3594782.1 Plain-Language Summary Keywordsfracture imagingfaultsseismic attributesPDF DownloadLoading ..." @default.
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