A fast quantitative evaluation method based on sampling distribution of well log for analyzing elastic parameter's sensitivity to shale and gas sand

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2017A fast quantitative evaluation method based on sampling distribution of well log for analyzing elastic parameter's sensitivity to shale and gas sandAuthors: Zhiguo FuJing WangYalin LiFurong WuGuangming HeZhong LiZhiguo FuGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this author, Jing WangGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this author, Yalin LiGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this author, Furong WuGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this author, Guangming HeGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this author, and Zhong LiGeophysical Prospecting Company of Chuanqing Drilling Engineering Co., Ltd., CNPCSearch for more papers by this authorhttps://doi.org/10.1190/segam2017-17589548.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Many elastic properties are frequently used in lithology discrimination and fluid prediction. But the best one is not fixed for different objects. Though there are many methods to pick out one or two elastic properties satisfied with requirement of identification in different study area, it is continued to be under research how to measure their sensitivity to lithology and fluid. A statistical optimization method for selecting the more sensitive elastic property is presented here. It is a fast solution for finding the more sensitive parameter in prediction problem, and is easy to use in daily seismic interpretation. As an example, 11 elastic properties used frequently in exploration are analyzed in a gas field. The best one for lithology discrimination and the best one for gas sand identification are successfully used to predict the distribution of gas sand. Presentation Date: Tuesday, September 26, 2017 Start Time: 4:20 PM Location: 350D Presentation Type: ORAL Keywords: lithology, reservoir characterization, statistical, gas, inversionPermalink: https://doi.org/10.1190/segam2017-17589548.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2017ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2017 Pages: 6093 publication data© 2017 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 17 Aug 2017 CITATION INFORMATION Zhiguo Fu, Jing Wang, Yalin Li, Furong Wu, Guangming He, and Zhong Li, (2017), "A fast quantitative evaluation method based on sampling distribution of well log for analyzing elastic parameter's sensitivity to shale and gas sand," SEG Technical Program Expanded Abstracts : 3234-3238. https://doi.org/10.1190/segam2017-17589548.1 Plain-Language Summary Keywordslithologyreservoir characterizationstatisticalgasinversionPDF DownloadLoading ...