Sparse least-squares reverse time migration using 2-D undecimated wavelet transform

Abstract

PreviousNext No AccessInternational Geophysical Conference, Beijing, China, 24-27 April 2018Sparse least-squares reverse time migration using 2-D undecimated wavelet transformAuthors: Feipeng LiJinghuai GaoFeipeng LiSearch for more papers by this author and Jinghuai GaoXi'an Jiaotong UniversitySearch for more papers by this authorhttps://doi.org/10.1190/IGC2018-151 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract We propose a new scheme for least-squares reverse time migration (LSRTM) under the constraint of sparseness in 2-D undecimated wavelet domain. Taking 2-D undecimated wavelet as an effective representation for the reflectivity model, we incorporate wavelet domain sparseness into LSRTM as a regularization term. To achieve sparseness, we use an iteratively reweighted least-squares algorithm (IRLS) whose weighting matrix is constructed via solution itself. Then we derive a wavelet domain conjugate gradient method to seek for the optimal image. Numerical tests show that this new scheme is capable of suppressing migration artifacts. Keywords: least-squares, reverse time migration, algorithmPermalink: https://doi.org/10.1190/IGC2018-151FiguresReferencesRelatedDetailsCited byDeep convolutional neural network and sparse least-squares migrationZhaolun Liu, Yuqing Chen, and Gerard Schuster13 June 2020 | GEOPHYSICS, Vol. 85, No. 4 International Geophysical Conference, Beijing, China, 24-27 April 2018ISSN (online):2159-6832Copyright: 2018 Pages: 1821 publication data© 2018 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 11 Dec 2018 CITATION INFORMATION Feipeng Li and Jinghuai Gao, (2018), "Sparse least-squares reverse time migration using 2-D undecimated wavelet transform," SEG Global Meeting Abstracts : 616-619. https://doi.org/10.1190/IGC2018-151 Plain-Language Summary Keywordsleast-squaresreverse time migrationalgorithmPDF DownloadLoading ...