Improved iterative least-squares migration using curvelet-domain Hessian filters (2017)

PreviousNext No AccessSEG Technical Program Expanded Abstracts 2017Improved iterative least-squares migration using curvelet-domain Hessian filtersAuthors: Ming WangShouting HuangPing WangMing WangCGG, Shouting HuangCGG, and Ping WangCGGhttps://doi.org/10.1190/segam2017-17783350.1 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract Least-squares migration (LSM) can potentially provide better amplitude fidelity, higher image resolution, and fewer migration artifacts than standard migration. Conventional LSM is often solved iteratively through linearized inversion, and therefore is often referred to as iterative LSM. In recent years, various single-iteration LSM approaches have been proposed as a cost-effective approximation of iterative LSM and have produced promising results. To exploit the full potential of LSM, we propose to employ the curvelet-domain Hessian filter (CHF) for single-iteration LSM as a preconditioner for conventional iterative LSM. We call this approach CHF-preconditioned LSM (CPLSM). We first validate our CPLSM approach using SEAM I synthetic data and show that it produces better amplitude fidelity over the single-iteration CHF approach and converges faster than conventional iterative LSM. Furthermore, we demonstrate with an application to field data that CPLSM produces fewer migration artifacts and less noise than conventional iterative LSM. This helps to address a known problem of iterative LSM that is caused by the overfitting of modeled synthetic data (with possibly missing physics) to recorded data. Presentation Date: Wednesday, September 27, 2017 Start Time: 4:45 PM Location: 361A Presentation Type: ORAL Keywords: inversion, least-squares migration, illumination, imaging, Gulf of MexicoPermalink: https://doi.org/10.1190/segam2017-17783350.1FiguresReferencesRelatedDetailsCited byLeast-Squares Reverse Time Migration With Curvelet-Domain Preconditioning OperatorsIEEE Transactions on Geoscience and Remote Sensing, Vol. 60Efficient 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. 6Viscoacoustic reverse time migration with a robust space-wavenumber domain attenuation compensation operatorJidong Yang, Jianping Huang, Hejun Zhu, Zhenchun Li, and Nanxun Dai31 August 2021 | GEOPHYSICS, Vol. 86, No. 5True amplitude depth migration using curveletsHamideh Sanavi, Peyman P. Moghaddam, and Felix J. Herrmann12 July 2021 | GEOPHYSICS, Vol. 86, No. 4A True-Amplitude Imaging Method Based on Gaussian Beam Migration and Demigration2 June 2020 | Pure and Applied Geophysics, Vol. 177, No. 10High-resolution imaging with least-squares Q Kirchhoff using velocity and Q updated by OBN FWI: Gulf of Mexico, Marlin-Dorado FieldJianxiong Chen, Brian Lindsey, Jordan Dubuisson, Wally Partridge, George Zemlicka, Mustafa Al-Waily, Bang Lu, and Huifeng Zhu30 September 2020A true-amplitude imaging method based on Gaussian beam migration and demigrationShaoyong Liu, Wenting Zhu, Ru-Shan Wu, Huazhong Wang, and Song Guo30 September 2020Extract 4D signal from two streamer surveys with very different acquisition geometry by least-squares migration over Pyrenees FieldsJun Cai, Guy Duncan, Angus Goody, and Kon Kostas10 August 2019Full wave-equation based optimal shot selection for least-squares reverse time migrationAnu Chandran, Thomas Kühnel, Farhad Bazargani, Michael Kiehn, Dung Nguyen, and Bruce Strawn10 August 2019Using least-squares Kirchhoff migration for better shallow imaging of spatially sparse dual-WAZ dataHuifeng Zhu, Mustafa Al-Waily, Zheng Chang, and Zhuocheng Yang27 August 2018Improving reflection FWI reflectivity using LSRTM in the curvelet domainAdriano Gomes and Zhuocheng Yang27 August 2018Least-squares reverse time migration with dynamic time warpingWei Dai, Xin Cheng, Kun Jiao, and Denes Vigh27 August 2018 SEG Technical Program Expanded Abstracts 2017ISSN (print):1052-3812 ISSN (online):1949-4645Copyright: 2017 Pages: 6093 publication data© 2017 Published in electronic format with permission by the Society of Exploration GeophysicistsPublisher:Society of Exploration Geophysicists HistoryPublished Online: 17 Aug 2017 CITATION INFORMATION Ming Wang, Shouting Huang, and Ping Wang, (2017), "Improved iterative least-squares migration using curvelet-domain Hessian filters," SEG Technical Program Expanded Abstracts : 4555-4560. https://doi.org/10.1190/segam2017-17783350.1 Plain-Language Summary Keywordsinversionleast-squares migrationilluminationimagingGulf of MexicoPDF DownloadLoading ...