Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy

A gradient preconditioning approach based on transmitted wave energy for least-squares reverse time migration (LSRTM) is proposed in this study. The gradient is preconditioned by using the energy of “approximate transmission wavefield,” which is calculated based on the non-reflecting acoustic equati...

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Autores principales: Chuang Xie, Peng Song, Xishuang Li, Jun Tan, Shaowen Wang, Bo Zhao
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Lenguaje:EN
Publicado: Frontiers Media S.A. 2021
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Acceso en línea:https://doaj.org/article/49429a1fe7c948b8afedaaf832776c94
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spelling oai:doaj.org-article:49429a1fe7c948b8afedaaf832776c942021-12-01T12:59:10ZLeast-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy2296-646310.3389/feart.2021.732425https://doaj.org/article/49429a1fe7c948b8afedaaf832776c942021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/feart.2021.732425/fullhttps://doaj.org/toc/2296-6463A gradient preconditioning approach based on transmitted wave energy for least-squares reverse time migration (LSRTM) is proposed in this study. The gradient is preconditioned by using the energy of “approximate transmission wavefield,” which is calculated based on the non-reflecting acoustic equation. The proposed method can effectively avoid a huge amount of calculation and storage required by the Hessian matrix or approximated Hessian matrix and can overcome the influence of reflected waves, multiples, and other wavefields on the gradient in gradient preconditioning based on seismic wave energy (GPSWE). The numerical experiments, compared with that using GPSWE, show that LSRTM using the gradient preconditioning based on transmitted wave energy (GPTWE) can significantly improve the imaging accuracy of deep target and accelerate the convergence rate without trivial increased calculation.Chuang XiePeng SongPeng SongPeng SongXishuang LiXishuang LiJun TanJun TanJun TanShaowen WangBo ZhaoBo ZhaoBo ZhaoFrontiers Media S.A.articleleast-squares reverse time migrationgradient preconditioningtransmitted wavenon-reflecting acoustic wave equationdisproportioned illuminationScienceQENFrontiers in Earth Science, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic least-squares reverse time migration
gradient preconditioning
transmitted wave
non-reflecting acoustic wave equation
disproportioned illumination
Science
Q
spellingShingle least-squares reverse time migration
gradient preconditioning
transmitted wave
non-reflecting acoustic wave equation
disproportioned illumination
Science
Q
Chuang Xie
Peng Song
Peng Song
Peng Song
Xishuang Li
Xishuang Li
Jun Tan
Jun Tan
Jun Tan
Shaowen Wang
Bo Zhao
Bo Zhao
Bo Zhao
Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
description A gradient preconditioning approach based on transmitted wave energy for least-squares reverse time migration (LSRTM) is proposed in this study. The gradient is preconditioned by using the energy of “approximate transmission wavefield,” which is calculated based on the non-reflecting acoustic equation. The proposed method can effectively avoid a huge amount of calculation and storage required by the Hessian matrix or approximated Hessian matrix and can overcome the influence of reflected waves, multiples, and other wavefields on the gradient in gradient preconditioning based on seismic wave energy (GPSWE). The numerical experiments, compared with that using GPSWE, show that LSRTM using the gradient preconditioning based on transmitted wave energy (GPTWE) can significantly improve the imaging accuracy of deep target and accelerate the convergence rate without trivial increased calculation.
format article
author Chuang Xie
Peng Song
Peng Song
Peng Song
Xishuang Li
Xishuang Li
Jun Tan
Jun Tan
Jun Tan
Shaowen Wang
Bo Zhao
Bo Zhao
Bo Zhao
author_facet Chuang Xie
Peng Song
Peng Song
Peng Song
Xishuang Li
Xishuang Li
Jun Tan
Jun Tan
Jun Tan
Shaowen Wang
Bo Zhao
Bo Zhao
Bo Zhao
author_sort Chuang Xie
title Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
title_short Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
title_full Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
title_fullStr Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
title_full_unstemmed Least-Squares Reverse Time Migration Using the Gradient Preconditioning Based on Transmitted Wave Energy
title_sort least-squares reverse time migration using the gradient preconditioning based on transmitted wave energy
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/49429a1fe7c948b8afedaaf832776c94
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