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PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Adaptive image focusingAuthors: John T. EtgenChunlei Chu*Tongning YangMadhav VyasJohn T. EtgenBP, Chunlei Chu*BP, Tongning YangBP, and Madhav VyasBPhttps://doi.org/10.1190/segam2014-0820.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Seismic image quality dependency on the migration velocity model becomes progressively higher as geological complexity increases. Advancement in more theoretically rigorous model estimation technologies such as waveform inversion will gradually improve our model building capabilities over time to meet this challenge, but it is also important to realize that certain degrees of imperfection in the velocity models will always be expected, at least in the foreseeable future. There is therefore a need to adjust/improve images as part of the migration process to account for this imperfection, and furthermore to mitigate the inadequacy of the physics we use at various stages in the data processing pipeline. To this end, we look into adaptive image focusing, an automated workflow aiming at extracting improved imaging results from imperfect migration velocity models, which may involve amplitude balancing and alignment (to directly construct improved gathers) and/or noise suppression (to remove destructive energy from the stack). As a first attempt to achieve such a workflow, we emphasize the noise suppression aspect of the image focusing problem and demonstrate in this work the possibility to identify and suppress non-contributing shot-record migration results in the time-lag extended image domain. We explain the basic processing steps with a synthetic example which shows promising results. Keywords: imaging, subsalt, gathers, autofocusingPermalink: https://doi.org/10.1190/segam2014-0820.1FiguresReferencesRelatedDetailsCited byImproving seismic image using the common-horizon panelLu Liu6 September 2019 | GEOPHYSICS, Vol. 84, No. 5Time-domain multiscale FWI based on a time-shift method and low-frequency data reconstructionWenyang Chen, Xiaofeng Jial, and Chunhui Hu10 August 2019Enabling numerically exact local solver for waveform inversion—a low-rank approach27 June 2019 | Computational Geosciences, Vol. 23, No. 4A time-shift method for time-domain multiscale full-waveform inversionChunhui Hu, Xiaofeng Jia, and Wenyang Chen27 August 2018A time-shift method for time-domain multiscale full waveform inversionChunhui Hu, Xiaofeng Jia, and Wenyang Chen22 November 2017Focusing long- and short-wavelength velocity errors with RTMMark Roberts17 August 2017Seismic Processing: Migration II Complete Session17 August 2017Acoustic FWI applied to subsalt imaging: An illuminating case study from offshore AngolaPaul Williamson, Christian Rivera, and Khalid Mansoor1 September 20163D salt geometry inversion in full-waveform inversion using a level-set methodWinston Lewis and Denes Vigh1 September 2016Full-Waveform Inversion I Complete Session1 September 2016Special Session Complete Session1 September 2016A numerically exact local solver applied to salt boundary inversion in seismic full-waveform inversion1 February 2016 | Geophysical Journal International, Vol. 204, No. 3One-way TTI propagation: Is it still relevant ?Madhav Vyas, Xin Wang, and John Etgen19 August 2015Adaptive least-squares RTM and application to Freedom WAZ subsalt imagingChong Zeng*, Shuqian Dong, Zhaohong Wu, Jean Ji, Darrell Armentrout, and Bin Wang19 August 2015 SEG Technical Program Expanded Abstracts 2014ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2014 Pages: 5183 publication data© 2014 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 05 Aug 2014 CITATION INFORMATION John T. Etgen, Chunlei Chu*, Tongning Yang, and Madhav Vyas, (2014), "Adaptive image focusing," SEG Technical Program Expanded Abstracts : 3774-3778. https://doi.org/10.1190/segam2014-0820.1 Plain-Language Summary KeywordsimagingsubsaltgathersautofocusingPDF DownloadLoading ...

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