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- W2890197297 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2018Analyzing PSDM images in complex geology via ray-based PSF-convolution modelingAuthors: Kristian JensenIsabelle LecomteTina KaschwichKristian JensenUniversity of BergenSearch for more papers by this author, Isabelle LecomteUniversity of BergenSearch for more papers by this author, and Tina KaschwichNORSARSearch for more papers by this authorhttps://doi.org/10.1190/segam2018-2995975.1 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract A common problem encountered when migrating seismic data is the blurring and partial retrieval of the stratigraphic model of interest due to limited survey illumination, propagation effect functions of the overburden velocity, frequency-band limited wavelets, and more. Through the application of ray-generated 2(3)D spatial convolution operators, referred to as point-spread functions (PSFs), these blurring effects and partial illumination may be analyzed in more detail, which enhances our understanding of seismic image quality, prior or after acquisition and processing. To illustrate our purpose, we apply the method on the synthetic Sigsbee2A model at selected target areas, and study how, e.g., amplitude effects and aperture width affect the migrated image. A ray approach allows indeed for efficient sensitivity studies on various parameters, thus explaining differences in seismic image quality, while possibly helping fine-tuning imaging parameters. Presentation Date: Tuesday, October 16, 2018 Start Time: 8:30:00 AM Location: 205A (Anaheim Convention Center) Presentation Type: Oral Keywords: modeling, ray tracing, prestack, depth migrationPermalink: https://doi.org/10.1190/segam2018-2995975.1FiguresReferencesRelatedDetailsCited byPoint‐spread function convolution to simulate prestack depth migrated images: A validation study6 August 2021 | Geophysical Prospecting, Vol. 69, No. 8-9Paleokarst reservoirs: Efficient and flexible characterization using point-spread-function-based convolution modelingKristian Jensen, Martin Kyrkjebø Johansen, Isabelle Lecomte, Xavier Janson, Jan Tveranger, and Tina Kaschwich24 February 2021 | Interpretation, Vol. 9, No. 2 SEG Technical Program Expanded Abstracts 2018ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2018 Pages: 5520 publication data© 2018 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 27 Aug 2018 CITATION INFORMATION Kristian Jensen, Isabelle Lecomte, and Tina Kaschwich, (2018), Analyzing PSDM images in complex geology via ray-based PSF-convolution modeling, SEG Technical Program Expanded Abstracts : 3843-3847. https://doi.org/10.1190/segam2018-2995975.1 Plain-Language Summary Keywordsmodelingray tracingprestackdepth migrationPDF DownloadLoading ..." @default.
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