A study of GST method in the seismic attributes

PreviousNext No AccessInternational Geophysical Conference, Beijing, China, 24-27 April 2018A study of GST method in the seismic attributesAuthors: Yubang ZhouYong LiMengxiu WangJicheng LiuTao YangYubang ZhouCollege of Geophysics, Chengdu University of Technology, Sichuan Chengdu, 610059Search for more papers by this author, Yong LiCollege of Geophysics, Chengdu University of Technology, Sichuan Chengdu, 610059Search for more papers by this author, Mengxiu WangCollege of Geophysics, Chengdu University of Technology, Sichuan Chengdu, 610059Search for more papers by this author, Jicheng LiuEast China University of Technology, Jiangxi Fuzhou, 344000Search for more papers by this author, and Tao YangSichuan Huirui Survey and Design Co., LtdSearch for more papers by this authorhttps://doi.org/10.1190/IGC2018-214 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Nowadays, the analysis of seismic attributes is becoming more and more important in the geophysical exploration of unconventional oil and gas reservoirs. In order to solve the technical difficulties in prediction of coal seams, gas reservoirs and carbonate reservoirs, all of which are extremely heterogeneous, this analysis method has been, by this research, well developed on the basis of the conventional GST algorithm. The result shows that the attributes derived by the conventional GST algorithm can achieve the effect of both integrated, multi-attribute output and single-attribute, multi-scale integration. And the Euler curvature property and GST cave identification, which are developed by this research, are effective in the prediction of fracture and reservoirs. Therefore, we can summarize the above algorithm and put forward the seismic GST attributes. Keywords: seismic attributes, unconventional, algorithmPermalink: https://doi.org/10.1190/IGC2018-214FiguresReferencesRelatedDetailsCited byApplication of gradient structure tensor method in CBM fracture identification and sweet spot prediction17 October 2019 | Arabian Journal of Geosciences, Vol. 12, No. 20 International Geophysical Conference, Beijing, China, 24-27 April 2018ISSN (online):2159-6832Copyright: 2018 Pages: 1821 publication data© 2018 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Dec 2018 CITATION INFORMATION Yubang Zhou, Yong Li, Mengxiu Wang, JichengLiu, and TaoYang, (2018), "A study of GST method in the seismic attributes," SEG Global Meeting Abstracts : 878-881. https://doi.org/10.1190/IGC2018-214 Plain-Language Summary Keywordsseismic attributesunconventionalalgorithmPDF DownloadLoading ...