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Title: Acoustic- and elastic-waveform inversion with total generalized p-variation regularization

Abstract

Geophysical models usually contain both sharp interfaces and smooth variations, and it is difficult to accurately account for both of these two types of medium parameter variations using conventional full-waveform inversion methods. We develop a novel full-waveform inversion method for acoustic and elastic waves using a total generalized p-variation regularization scheme to address these challenging problems. We decompose the full-waveform inversion into two subproblems and solve these two minimization subproblems using an alternating-direction minimization strategy. One significant advantage of the total generalized p-variation regularization scheme is that it can simultaneously reconstruct sharp interfaces and smooth background variations of geophysical parameters. Such capability can also effectively suppress the noises in source-encoded inversion and sparse-data inversion, or inversion of noisy data. We demonstrate the advantages of our full-waveform inversion method using a checkerboard model, a modified elastic SEG/EAGE overthrust model, and a land field seismic data set. Our conclusions of synthetic and field seismic data demonstrate that our method reconstructs both smooth background variations and sharp interfaces of subsurface geophysical properties accurately, and provides a useful tool for accurate and reliable inversion of field seismic data.

Authors:
 [1];  [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE). Geothermal Technologies Office (EE-4G)
OSTI Identifier:
1525828
Report Number(s):
LA-UR-18-22336
Journal ID: ISSN 0956-540X
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Volume: 218; Journal Issue: 2; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; Inverse theory; Waveform inversion; Seismic tomography; Wave propagation

Citation Formats

Gao, Kai, and Huang, Lianjie. Acoustic- and elastic-waveform inversion with total generalized p-variation regularization. United States: N. p., 2019. Web. doi:10.1093/gji/ggz203.
Gao, Kai, & Huang, Lianjie. Acoustic- and elastic-waveform inversion with total generalized p-variation regularization. United States. doi:10.1093/gji/ggz203.
Gao, Kai, and Huang, Lianjie. Thu . "Acoustic- and elastic-waveform inversion with total generalized p-variation regularization". United States. doi:10.1093/gji/ggz203. https://www.osti.gov/servlets/purl/1525828.
@article{osti_1525828,
title = {Acoustic- and elastic-waveform inversion with total generalized p-variation regularization},
author = {Gao, Kai and Huang, Lianjie},
abstractNote = {Geophysical models usually contain both sharp interfaces and smooth variations, and it is difficult to accurately account for both of these two types of medium parameter variations using conventional full-waveform inversion methods. We develop a novel full-waveform inversion method for acoustic and elastic waves using a total generalized p-variation regularization scheme to address these challenging problems. We decompose the full-waveform inversion into two subproblems and solve these two minimization subproblems using an alternating-direction minimization strategy. One significant advantage of the total generalized p-variation regularization scheme is that it can simultaneously reconstruct sharp interfaces and smooth background variations of geophysical parameters. Such capability can also effectively suppress the noises in source-encoded inversion and sparse-data inversion, or inversion of noisy data. We demonstrate the advantages of our full-waveform inversion method using a checkerboard model, a modified elastic SEG/EAGE overthrust model, and a land field seismic data set. Our conclusions of synthetic and field seismic data demonstrate that our method reconstructs both smooth background variations and sharp interfaces of subsurface geophysical properties accurately, and provides a useful tool for accurate and reliable inversion of field seismic data.},
doi = {10.1093/gji/ggz203},
journal = {Geophysical Journal International},
number = 2,
volume = 218,
place = {United States},
year = {2019},
month = {5}
}

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