Accurate and efficient seismic data interpolation using FK-curvelet transform

PreviousNext No AccessInternational Geophysical Conference, Qingdao, China, 17-20 April 2017Accurate and efficient seismic data interpolation using FK-curvelet transformAuthors: Benfeng Wang*Wenkai LuBenfeng Wang*Easysignal group, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua UniversitySearch for more papers by this author and Wenkai LuEasysignal group, State Key Laboratory of Intelligent Technology and Systems, Tsinghua National Laboratory for Information Science and Technology, Department of Automation, Tsinghua UniversitySearch for more papers by this authorhttps://doi.org/10.1190/IGC2017-073 SectionsAboutPDF/ePub ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinked InRedditEmail Abstract The data irregularity caused by acquisition environment constraints or bad traces elimination can decrease the performances of the following multi-channel algorithms, though some of them can overcome the irregularity defects. Therefore, accurate interpolation to provide necessarily complete data becomes a pre-requisite, but its wide application is constrained because its large computational time for huge data volume, especially in 3D explorations. For accurate and efficient seismic data interpolation, the projection onto convex sets (POCS) based interpolation method using frequency-wavenumber (FK) curvelet transform is proposed. The fact that the complex-valued principle frequency components can characterize its original signal with a high accuracy, but its size is at least halved which can help improve the interpolation efficiency. The energy of the observed seismic data is more focused in the FK domain, and curvelet coefficients can be sparser if curvelet transform is performed on the FK domain data, which can help enhance the interpolation accuracy. The performances of the POCS-based methods using complex-valued curvelet transform in the time-space (TX) domain, the principle frequency-space (FX) domain and the FK domain are compared and numerical examples demonstrate the validity and effectiveness of the proposed method. With less computational time, the proposed method can achieve better interpolation results. Keywords: interpolation, algorithm, acquisition, 3DPermalink: https://doi.org/10.1190/IGC2017-073FiguresReferencesRelatedDetailsCited byAdapting the residual dense network for seismic data denoising and upscalingRongqian Wang, Ruixuan Zhang, Chenglong Bao, Lingyun Qiu, and Dinghui Yang16 June 2022 | GEOPHYSICS, Vol. 87, No. 4 International Geophysical Conference, Qingdao, China, 17-20 April 2017ISSN (online):2159-6832Copyright: 2017 Pages: 1525 publication data© 2017 Published in electronic format with permission by the Society of Exploration Geophysicists and Chinese Geophysical SocietyPublisher:Society of Exploration Geophysicists HistoryPublished Online: 31 May 2017 CITATION INFORMATION Benfeng Wang* and Wenkai Lu, (2017), "Accurate and efficient seismic data interpolation using FK-curvelet transform," SEG Global Meeting Abstracts : 280-283. https://doi.org/10.1190/IGC2017-073 Plain-Language Summary Keywordsinterpolationalgorithmacquisition3DPDF DownloadLoading ...