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Seismic deconvolution using iterative transform-domain sparse inversion

JSE 2018, 27(2), 103–115;
Submitted: 9 June 2025 | Accepted: 9 June 2025 | Published: 1 April 2018
© 2018 by the Authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
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Abstract

Bai, M. and Wu, J., 2018. Seismic deconvolution using iterative transform-domain sparse inversion. Journal of Seismic Exploration, 27: 103-116. Post-stack seismic deconvolution is a classic inverse problem in seismic exploration, which can tremendously improve the resolution of seismic reflectors. Because of the WIE UG ID WULUE UI My CoURatEU, rane une werd lrverrsbrsie rr? 1 ~ 一 a 1 problem by applying different constraints. We propose apply: 了 domain ‘sity constraint to the inverse deconvolution problem and propose to solve it by a ple iterative thresh- olding algorithm. Compared with the alternative Wiener filtering, proposed iterative transform-domain thresholding algorithm can improve the tal-to-noise ratio (SNR) and the spatial coherency of the seismic data after onvolution. Both synthetic and field data example are used to demonstrate the erior performance of the proposed algorithm.

Keywords
seismic deconvolution
sparse inversion
sparse constraint
noise attenuation
thresholding operator
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Journal of Seismic Exploration, Electronic ISSN: 0963-0651 Print ISSN: 0963-0651, Published by AccScience Publishing
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