A new time-varying gain limits inverse Q filtering and its application to a study in Bohai Bay
SEG 2020 Workshop: Broadband and Wide-azimuth Deepwater Seismic Technology, Beijing, China, 13–15 July 2020(2020)
摘要
PreviousNext No AccessSEG 2020 Workshop: Broadband and Wide-azimuth Deepwater Seismic Technology, Beijing, China, 13–15 July 2020A new time-varying gain limits inverse Q filtering and its application to a study in Bohai BayAuthors: Yan JianguoSong XinleiChen QiDeng RubinZhang XuechunYan JianguoThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Song XinleiThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Chen QiThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, Deng RubinThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this author, and Zhang XuechunThe College of Geophysics, Chengdu University of Technology, ChinaSearch for more papers by this authorhttps://doi.org/10.1190/bwds2020_27.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Inverse Q filtering of seismic data has become a common and useful approach in seismic reservoir characterization for increasing the resolution and preserving the amplitude of seismic data. We proposed a new time-varying gain limits inverse Q filtering with the continuous compensation functions instead of using the piecewise function or cut-off frequency to increase the quality of seismic amplitude compensation for reservoir characterization. By deriving a new relationship between the gain limits and formation quality factor Q, the stabilization factor and gain limits of compensation functions are time-varying. Basically, the gain of the compensation function in proposed method will increase when the attenuation and dispersion of seismic wave are strong in the subsurface, such as in the deep layer. So some significant improvements of quality of the inverse Q filtering are made by using this new approach. Theoretical and field examples have proved the validation of the method proposed, and the results are very encouraging when the method is applied to not only poststack data but also pre-stack data in the buried-hill basement rock reservoir characterization in the study area of Bohai Bay, in Eastern China. Keywords: Q, filtering, amplitude, seismic attributes, attenuationPermalink: https://doi.org/10.1190/bwds2020_27.1FiguresReferencesRelatedDetails SEG 2020 Workshop: Broadband and Wide-azimuth Deepwater Seismic Technology, Beijing, China, 13–15 July 2020ISSN (online):2159-6832Copyright: 2020 Pages: 155 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 09 Nov 2020 CITATION INFORMATION Yan Jianguo, Song Xinlei, Chen Qi, Deng Rubin, and Zhang Xuechun, (2020), "A new time-varying gain limits inverse Q filtering and its application to a study in Bohai Bay," SEG Global Meeting Abstracts : 100-103. https://doi.org/10.1190/bwds2020_27.1 Plain-Language Summary KeywordsQfilteringamplitudeseismic attributesattenuationPDF DownloadLoading ...
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关键词
Seismic Data Processing,Seismic Waveform Inversion,Ambient Seismic,Distributed Acoustic Sensing,Wave Equation Migration
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