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• W2108907285 abstract "PreviousNext No AccessSEG Technical Program Expanded Abstracts 2011Iterative separation of blended marine data: Discussion on the coherence‐pass filterAuthors: Panagiotis DoulgerisAraz MahdadGerrit BlacquièrePanagiotis DoulgerisDelft University of TechnologySearch for more papers by this author, Araz MahdadDelft University of TechnologySearch for more papers by this author, and Gerrit BlacquièreDelft University of TechnologySearch for more papers by this authorhttps://doi.org/10.1190/1.3627754 SectionsSupplemental MaterialAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract In conventional marine acquisition surveys the time intervals between the firing of successive sources are large enough to avoid interference in time. To obtain an efficient survey, the spatial source sampling is therefore often (too) large. However, much attention has been drawn recently to blended acquisition designs, where sources are shot in an overlapping fashion. Waiving the constraint of no overlap can potentially lead to significantly improved quality or economics since more sources can be utilized in a given time frame. Deblending is the procedure of recovering data as if they were acquired in the conventional, unblended way. A simple least‐squares procedure however, does not remove the interference due to other sources, or blending noise. Fortunately, the character of this noise is different in different domains, e.g., it is coherent in the common source domain, but incoherent in the common receiver domain. Hence, a proper coherence‐pass filter should be able to discriminate between signal and blending noise. Furthermore, such a filter can be integrated into a regularized inversion scheme, where the separation is performed in an iterative way. Three types of such coherence‐pass filters, f − k, f − k r − ks, and τ − p, are presented here as part of a steepest‐descent type of algorithm. When applied to a numerically blended field dataset, the τ − p filter outperforms the other two.Permalink: https://doi.org/10.1190/1.3627754FiguresReferencesRelatedDetailsCited ByLeast-Squares Gaussian Beam Transform for Deblending Distance-Separated Simultaneous SourcesIEEE Transactions on Geoscience and Remote Sensing, Vol. 59, No. 6Simultaneous Seismic Sources Separation Based on Matrioshka Orthogonal Matching Pursuit, Application in Oil and Gas ExplorationIEEE Transactions on Geoscience and Remote Sensing, Vol. 58, No. 7Imaging blended vertical seismic profiling data using full-wavefield migration in the common-receiver domainA. K. Soni and D. J. Verschuur27 April 2015 | GEOPHYSICS, Vol. 80, No. 3Demigration and image space separation of simultaneously acquired dataChris Leader* and Biondo Biondi5 August 2014Integration of deblending and surface-related multiple elimination: application to marine dataPanagiotis Doulgeris, Gerrit Blacquière, and Eric Verschuur25 October 2012Convergence analysis of a coherency-constrained inversion for the separation of blended data15 June 2012 | Geophysical Prospecting, Vol. 60, No. 4 SEG Technical Program Expanded Abstracts 2011ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2011 Pages: 4424 Publisher:Society of Exploration Geophysicists HistoryPublished: 25 May 2012 CITATION INFORMATION Panagiotis Doulgeris, Araz Mahdad, and Gerrit Blacquière, (2011), Iterative separation of blended marine data: Discussion on the coherence‐pass filter, SEG Technical Program Expanded Abstracts : 26-31. https://doi.org/10.1190/1.3627754 Plain-Language Summary PDF DownloadLoading ..." @default.
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