Fast progressive sparse Tau-P transform for regularization of spatially aliased seismic data

Abstract

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2014Fast progressive sparse Tau-P transform for regularization of spatially aliased seismic dataAuthors: Ping WangKawin Nimsaila*Ping WangCGG and Kawin Nimsaila*CGGhttps://doi.org/10.1190/segam2014-0889.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We present a new data regularization algorithm that combines a sparse τ – p inversion scheme with low-rank optimization. Various issues, such as computational efficiency, aliasing, and weak events have been addressed to ensure the success of the algorithm. Using 3D synthetic and field data examples, we demonstrate that the algorithm is effective for the regularization of strongly spatially-aliased seismic data while remaining cost-effective. Keywords: Radon, interpolation, inversion, least squares, sparsePermalink: https://doi.org/10.1190/segam2014-0889.1FiguresReferencesRelatedDetailsCited byMultiscale recurrent-guided denoising network for distributed acoustic sensing-vertical seismic profile background noise attenuationMing Cheng, Shaoping Lu, Xintong Dong, and Tie Zhong21 December 2022 | GEOPHYSICS, Vol. 88, No. 1Seismic data antialiasing interpolation using sparse Radon transform and dynamic mask functionJie Shao and Yibo Wang25 July 2022 | GEOPHYSICS, Vol. 87, No. 5Three‐dimensional Marchenko internal multiple attenuation on narrow azimuth streamer data of the Santos Basin, Brazil8 June 2020 | Geophysical Prospecting, Vol. 68, No. 6An integrated broadband preprocessing method for towed-streamer seismic dataMehdi Aharchaou and Erik Neumann24 February 2020 | GEOPHYSICS, Vol. 85, No. 2An acceleration method for the anti-leakage parabolic Radon transform for seismic data interpolationYaniv Hollander and Orhan Yilmaz10 August 2019Overcoming the challenges of a shallow-water sparse wide-azimuth survey to improve deep reservoir imaging in the East China SeaYun Wei, Hua Chen, Senqing Hu, Peipei Deng, Yongdeng Xiao, Srujan Poonamalli, Robert To, Joe Zhou, Jason Sun, Gang Yao, and Yu Jiang31 July 2019 | The Leading Edge, Vol. 38, No. 8Managing seismic interference in the North Sea: Recent developmentsRenaud Laurain and Thomas Elboth17 August 2017Seismic Data Regularization by Unaliased Slowness EstimationWilliam Curry, John E. Anderson, Mehdi Aharchaou, Amit Kushwaha, and Mulin Cheng17 August 2017High-resolution 3D tau-p transform by matching pursuitWeiping Cao and Warren Ross17 August 20174D nonlocal regularization of 3D seismic data using block adaptive POCSSatyakee Sen, James Sheng, Zhaojun Liu, and Bin Wang17 August 2017Acquisition, Survey Design, and Unmanned Geophysical Systems Complete Session17 August 2017Seismic Processing: Interpolation and Regularization and Multiples Complete Session17 August 2017Restricted model domain time Radon transformsJuan I. Sabbione and Mauricio D. Sacchi20 September 2016 | GEOPHYSICS, Vol. 81, No. 65D seismic data interpolation using low-rank radial function interpolationWei Zhang, Hanlin Chen, Bo Zhao, and Jiguo Du1 September 2016Joint SRME and model-based water-layer demultiple for ocean-bottom nodeHui Huang, Ping Wang, Jing Yang, Hui Chen, Pierre Olivier Ariston, Imtiaz Ahmed, and Nick Bassett1 September 2016Seismic Processing: Data Reconstruction and Multiples Complete Session1 September 2016Premigration data anti-aliasing for reverse time migrationKawin Nimsaila*, Guangfu Shao, Rongxin Huang, and Ping Wang19 August 2015Seismic interference noise attenuation based on sparse inversionZhigang Zhang* and Ping 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 Ping Wang and Kawin Nimsaila*, (2014), "Fast progressive sparse Tau-P transform for regularization of spatially aliased seismic data," SEG Technical Program Expanded Abstracts : 3589-3593. https://doi.org/10.1190/segam2014-0889.1 Plain-Language Summary KeywordsRadoninterpolationinversionleast squaressparsePDF DownloadLoading ...