Computational efficient multidimensional singular spectrum analysis for prestack seismic data reconstruction-Reference-Cited by-同舟云学术

Computational efficient multidimensional singular spectrum analysis for prestack seismic data reconstruction

Published:2019-03-01 Issue:2 Volume:84 Page:V111-V119
ISSN:0016-8033
Container-title:GEOPHYSICS
language:en
Short-container-title:GEOPHYSICS

Author:

Cheng Jinkun¹^ORCID,Sacchi Mauricio¹^ORCID,Gao Jianjun²^ORCID

Affiliation:

1. University of Alberta, Department of Physics, CCIS 4-181, Edmonton, Alberta T6G 2E1, Canada.(corresponding author); .

2. China University of Geosciences, Beijing, China..

Abstract

We have evaluated a fast and memory efficient implementation of the multidimensional singular spectrum analysis (MSSA) method for seismic data reconstruction. The new algorithm makes use of random projections and the structure of Hankel matrices to avoid the construction of large Hankel trajectory matrices. Through tests with synthetic and real data examples, we find that the presented algorithm significantly decreases the computational costs of MSSA seismic data recovery without compromising its accuracy.

Publisher

Society of Exploration Geophysicists

Subject

Geochemistry and Petrology,Geophysics

Link

https://library.seg.org/doi/pdf/10.1190/geo2018-0343.1

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