Efficient and flexible characterization of paleokarst seismic signatures using point-spread function-based convolution modeling

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2020Efficient and flexible characterization of paleokarst seismic signatures using point-spread function-based convolution modelingAuthors: Kristian JensenIsabelle LecomteXavier JansonJan TverangerKristian JensenUniversity of BergenSearch for more papers by this author, Isabelle LecomteUniversity of BergenSearch for more papers by this author, Xavier JansonUniversity of Texas at AustinSearch for more papers by this author, and Jan TverangerNORCE Norwegian Research Centre ASSearch for more papers by this authorhttps://doi.org/10.1190/segam2020-3426595.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail AbstractPaleokarst reservoirs originate from collapse, degradation and infill of karstified rock, and typically feature spatially heterogeneous elements such as breakdown products, sediment infills and preserved open cavities on all scales. Seismic characterization of paleokarst reservoirs therefore remains a challenging task. Through the application of 2(3)D spatial convolution operators, referred to as point-spread functions, efficient and flexible seismic modeling of prestack depth migrated paleokarst signatures may be obtained at a low computational cost. The present paper investigates the application of this method on paleokarst-type reservoirs by performing a qualitative comparison of seismic signatures generated using this approach and signatures obtained from a physical modeling experiment. We further illustrate the suitability/utility of the method by analyzing modeled prestack depth-migrated images of a selected target area in a 3D geocellular model of the Devil’s Sinkhole in Texas.Presentation Date: Wednesday, October 14, 2020Session Start Time: 9:20 AMPresentation Time: 10:10 AMLocation: Poster Station 9Presentation Type: PosterKeywords: modeling, prestack, geology, illumination, resolutionPermalink: https://doi.org/10.1190/segam2020-3426595.1FiguresReferencesRelatedDetails SEG Technical Program Expanded Abstracts 2020ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2020 Pages: 3887 publication data© 2020 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 30 Sep 2020 CITATION INFORMATION Kristian Jensen, Isabelle Lecomte, Xavier Janson, and Jan Tveranger, (2020), "Efficient and flexible characterization of paleokarst seismic signatures using point-spread function-based convolution modeling," SEG Technical Program Expanded Abstracts : 2744-2748. https://doi.org/10.1190/segam2020-3426595.1 Plain-Language Summary KeywordsmodelingprestackgeologyilluminationresolutionPDF DownloadLoading ...