A depth uncertainty estimation system with prestack seismic data

PreviousNext No AccessSecond International Meeting for Applied Geoscience & EnergyA depth uncertainty estimation system with prestack seismic dataAuthors: Huafeng LiuAndrey H. ShabelanskyJinsong ChenMin YangCory J. HoeltingYing TanHuafeng LiuChevron U.S.A., Inc.Search for more papers by this author, Andrey H. ShabelanskyChevron U.S.A., Inc.Search for more papers by this author, Jinsong ChenChevron U.S.A., Inc.Search for more papers by this author, Min YangChevron U.S.A., Inc.Search for more papers by this author, Cory J. HoeltingChevron U.S.A., Inc.Search for more papers by this author, and Ying TanChevron U.S.A., Inc.Search for more papers by this authorhttps://doi.org/10.1190/image2022-3745059.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractWe developed a system (D-Sharp) for seismic depth uncertainty estimation. D-Sharp uses 3D physics with waveforms to make robust depth uncertainty assessments of models from pre-stack seismic data. It consists of three major components: 1) generating a set of trial models, 2) generating seismic gathers efficiently using Gaussian beams for all trial models and 3) quantifying each model and outputting depth uncertainty statistically. The key advantages of D-Sharp are 1) its efficient assessment of models using pre-stack seismic data and 2) a data-driven model qualification system that links depth uncertainty prediction with mis-tie data from wells. Synthetic tests show that D-Sharp can provide robust depth uncertainty estimates that are consistent with mis-tie data.Keywords: depth uncertainty, mis-tie data, Gaussian Beam, seismic, prestackPermalink: https://doi.org/10.1190/image2022-3745059.1FiguresReferencesRelatedDetailsCited byA stochastic modeling method of seismic velocity and anisotropy parameters in VTI medium using travel time detectability criterionAndrey H. Shabelansky, Huafeng Liu, Cory J. Hoelting, Min Yang, and Jinsong Chen15 August 2022 Second International Meeting for Applied Geoscience & EnergyISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2022 Pages: 3694 publication data© 2022 Published in electronic format with permission by the Society of Exploration Geophysicists and the American Association of Petroleum GeologistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 15 Aug 2022 CITATION INFORMATION Huafeng Liu, Andrey H. Shabelansky, Jinsong Chen, Min Yang, Cory J. Hoelting, and Ying Tan, (2022), "A depth uncertainty estimation system with prestack seismic data," SEG Technical Program Expanded Abstracts : 3354-3358. https://doi.org/10.1190/image2022-3745059.1 Plain-Language Summary Keywordsdepth uncertaintymis-tie dataGaussian BeamseismicprestackPDF DownloadLoading ...