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Pre-Stack 5D Seismic Data Reconstruction Based on a Fast Uncoiled Randomized QR Decomposition Method
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Summary
Rank reduction strategy as a basic method has been widely employed to reconstruct pre-stack multidimensional seismic data. Previous studies showing that properly sampled regular data can be embedded into a low-rank block Hankel or block Toeplitz matrix. Missing data will increase the rank of the matrix. Therefore, seismic data reconstruction can be posed as a rank reduction problem. In this paper, we introduce a new fast rank reduction algorithm named randomized QR decomposition to replace the classic Singular Value Decomposition (SVD) and
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