An alternative to least-squares imaging using data-domain matching filters (2016)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2016An alternative to least-squares imaging using data-domain matching filtersAuthors: Adel KhalilHenning HoeberGraham RobertsFrancesco PerroneAdel KhalilCGG, Henning HoeberCGG, Graham RobertsCGG, and Francesco PerroneCGGhttps://doi.org/10.1190/segam2016-13861302.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Posing migration as an inverse or a least-squares problem can improve the quality of imaging. This class of technique can resolve illumination issues and improve focusing. Standard iterative least-squares imaging can be expensive and results are often compromised. We present a procedure using matching filters operating in data-space rather than image-space. Effective inversion results are demonstrated on synthetic and real data. Presentation Date: Tuesday, October 18, 2016 Start Time: 8:00:00 AM Location: 171/173 Presentation Type: ORAL Keywords: illumination, imaging, least-squares migrationPermalink: https://doi.org/10.1190/segam2016-13861302.1FiguresReferencesRelatedDetailsCited byNoniterative least-squares reverse time migration based on an efficient asymptotic Hessian/point-spread function estimationPeng Xu, Bo Feng, Huazhong Wang, and Shaoyong Liu4 May 2022 | GEOPHYSICS, Vol. 87, No. 4Extended-space full-waveform inversion in the time domain with the augmented Lagrangian methodAli Gholami, Hossein S. Aghamiry, and Stéphane Operto23 November 2021 | GEOPHYSICS, Vol. 87, No. 1Efficient iterative prestack least-squares reverse time migration through surface-offset gather compressionCarlos Alberto da Costa Filho, Gregório Goudel Azevedo, Roberto Pereira, and Adel Khalil20 October 2021 | GEOPHYSICS, Vol. 86, No. 6Elastic reflection waveform inversion with variable densityYuanyuan Li, Qiang Guo, Zhenchun Li, and Tariq Alkhalifah27 May 2019 | GEOPHYSICS, Vol. 84, No. 4Nonstationary filter used in microseismic-source imagingChao Song, Tariq Alkhalifah, Zedong Wu, and Bingbing Sun17 August 2017Applications of single-iteration Kirchhoff least-squares migrationLorenzo Casasanta, Francesco Perrone, Graham Roberts, Andrew Ratcliffe, Karen Purcell, Arash Jafargandomi, and Gordon Poole17 August 2017Improving images of presalt targets offshore Brazil using least-squares RTM and its quality controlDiego Carotti, Mariano Gatti, and Huub Douma17 August 2017Improving OBS-streamer 4D imaging by least-squares migrationZhao Wang, Rongxin Huang, Yi Xuan, Qing Xu, Scott Morton, and Brad Kuntz17 August 2017Improved iterative least-squares migration using curvelet-domain Hessian filtersMing Wang, Shouting Huang, and Ping Wang17 August 2017Passive Seismic Complete Session17 August 2017Seismic Processing: Migration I Complete Session17 August 2017Time Lapse Complete Session17 August 2017Exploration of pre-salt targets off-shore Brazil using least-squares RTMDiego Carotti, Mariano Gatti, and Huub Douma3 August 2017 SEG Technical Program Expanded Abstracts 2016ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2016 Pages: 5654 publication data© 2016 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 01 Sep 2016 CITATION INFORMATION Adel Khalil, Henning Hoeber, Graham Roberts, and Francesco Perrone, (2016), "An alternative to least-squares imaging using data-domain matching filters," SEG Technical Program Expanded Abstracts : 4188-4192. https://doi.org/10.1190/segam2016-13861302.1 Plain-Language Summary Keywordsilluminationimagingleast-squares migrationPDF DownloadLoading ...