A linearized Bregman method for compressive waveform inversion

TitleA linearized {Bregman} method for compressive waveform inversion
Publication TypeConference
Year of Publication2016
AuthorsXintao Chai, Mengmeng Yang, Philipp A. Witte, Rongrong Wang, Zhilong Fang, Felix J. Herrmann
Conference NameSEG Technical Program Expanded Abstracts
Page1449-1454
Month10
KeywordsBregman method, SEG, waveform inversion
Abstract

We present an implementation of a recently developed and relatively simple linearized Bregman method to solve the large-scale $\ell_1$-norm sparsity-promoting Gauss-Newton (GN) full-waveform inversion (FWI) problem. Numerical experiments demonstrate that: the much simpler linearized Bregman method does a comparable and even superior job compared to a state-of-the-art $\ell_1$-norm solver SPGL1, which is previously used in the modified Gauss-Newton FWI; the linearized Bregman method is also more efficient (faster) than SPGL1; the FWI result with the linearized Bregman method solving $\ell_1$-norm sparsity-promoting problems to get the model updates is better than that obtained by solving $\ell_2$-norm least-squares problems to get the model updates.

Notes

(SEG, Dallas)

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2016/chai2016SEGlbm/chai2016SEGlbm.pdf
DOI10.1190/segam2016-13848105.1
Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2016/cha...

Citation Keychai2016SEGlbm