Seismic data interpolation and denoising using SVD-free low-rank matrix factorization

TitleSeismic data interpolation and denoising using {SVD}-free low-rank matrix factorization
Publication TypeConference
Year of Publication2013
AuthorsRajiv Kumar, Aleksandr Y. Aravkin, Hassan Mansour, Ben Recht, Felix J. Herrmann
Conference NameEAGE Annual Conference Proceedings
Month06
Keywordsdenoising, EAGE, interpolation
Abstract

Recent developments in rank optimization have allowed new approaches for seismic data interpolation and denoising. In this paper, we propose an approach for simultaneous seismic data interpolation and denoising using robust rank-regularized formulations. The proposed approach is suitable for large scale problems, since it avoids SVD computations by using factorized formulations. We illustrate the advantages of the new approach using a seismic line from Gulf of Suez and 5D synthetic seismic data to obtain high quality results for interpolation and denoising, a key application in exploration geophysics.

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/EAGE/2013/kumar2013EAGEsind/kumar2013EAGEsind.pdf
DOI10.3997/2214-4609.20130388
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https://www.slim.eos.ubc.ca/Publications/Public/Conferences/EAGE/2013/ku...

Citation Keykumar2013EAGEsind
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