3D seismic survey design by maximizing the spectral gap

Title3D seismic survey design by maximizing the spectral gap
Publication TypeConference
Year of Publication2023
AuthorsYijun Zhang, Ziyi Yin, Oscar Lopez, Ali Siahkoohi, Mathias Louboutin, Felix J. Herrmann
Conference NameInternational Meeting for Applied Geoscience and Energy
Month08
KeywordsAcquisition, matrix factorization, SEG, spectral gap, survey design, wavefield reconstruction
Abstract

The massive cost of 3D acquisition calls for methods to reduce the number of receivers by designing optimal receiver sampling masks. Recent studies on 2D seismic showed that maximizing the spectral gap of the subsampling mask leads to better wavefield reconstruction results. We enrich the current study by proposing a simulation-free method to generate optimal 3D acquisition by maximizing the spectral gap of the subsampling mask via a simulated annealing algorithm. Numerical experiments confirm improvement of the proposed method over receiver sampling locations obtained by jittered sampling.

Notes

(IMAGE, Houston)

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2023/zhang2023IMAGEssd/zhang2023IMAGEssd.pdf
DOI10.1190/image2023-3895546.1
Presentation
Citation Keyzhang2023IMAGEssd