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Title: Shear reflectivity compensation in full-waveform inversion using least-squares reverse-time migration

Abstract

SUMMARY The computational cost of elastic-waveform inversion is too high for inverting PP reflections, while using acoustic full-waveform inversion (FWI) is inaccurate because it does not depend on the shear modulus/velocity/impedance that affects elastic PP wavefield amplitudes. To solve this problem, we develop a waveform inversion method that uses acoustic least-squares reverse-time migration (LSRTM) to compensate the shear reflectivity for acoustic FWI. Our method is based on the quasi-elastic-wave equation developed by Chapman et al. (2014). The quasi-elastic-wave equation uses a linearized acoustic-wave equation with shear modulus ÎŒ as a virtual source to correct the acoustic PP wavefield amplitudes toward elastic ones. Our waveform inversion method inverts for elastic parameters by minimizing the L2 norm of the difference between recorded and predicted PP reflections modelled using the quasi-elastic-wave equation. Numerical tests on synthetic and field data show that our method can properly handle the amplitudes of elastic PP reflections and provides an accurate estimate of the P- and S-wave velocities/impedances and, in some cases, the density. The method does not need the computationally expensive numerical solution to the elastic-wave equation. It also gives a better estimate of elastic parameters than a pure LSRTM method for elastic PP reflections.

Authors:
ORCiD logo [1];  [1]
  1. Los Alamos National Laboratory, Los Alamos, NM 87545, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1797327
Resource Type:
Published Article
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Name: Geophysical Journal International Journal Volume: 227 Journal Issue: 1; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Feng, Zongcai, and Huang, Lianjie. Shear reflectivity compensation in full-waveform inversion using least-squares reverse-time migration. United Kingdom: N. p., 2021. Web. doi:10.1093/gji/ggab193.
Feng, Zongcai, & Huang, Lianjie. Shear reflectivity compensation in full-waveform inversion using least-squares reverse-time migration. United Kingdom. https://doi.org/10.1093/gji/ggab193
Feng, Zongcai, and Huang, Lianjie. Wed . "Shear reflectivity compensation in full-waveform inversion using least-squares reverse-time migration". United Kingdom. https://doi.org/10.1093/gji/ggab193.
@article{osti_1797327,
title = {Shear reflectivity compensation in full-waveform inversion using least-squares reverse-time migration},
author = {Feng, Zongcai and Huang, Lianjie},
abstractNote = {SUMMARY The computational cost of elastic-waveform inversion is too high for inverting PP reflections, while using acoustic full-waveform inversion (FWI) is inaccurate because it does not depend on the shear modulus/velocity/impedance that affects elastic PP wavefield amplitudes. To solve this problem, we develop a waveform inversion method that uses acoustic least-squares reverse-time migration (LSRTM) to compensate the shear reflectivity for acoustic FWI. Our method is based on the quasi-elastic-wave equation developed by Chapman et al. (2014). The quasi-elastic-wave equation uses a linearized acoustic-wave equation with shear modulus ÎŒ as a virtual source to correct the acoustic PP wavefield amplitudes toward elastic ones. Our waveform inversion method inverts for elastic parameters by minimizing the L2 norm of the difference between recorded and predicted PP reflections modelled using the quasi-elastic-wave equation. Numerical tests on synthetic and field data show that our method can properly handle the amplitudes of elastic PP reflections and provides an accurate estimate of the P- and S-wave velocities/impedances and, in some cases, the density. The method does not need the computationally expensive numerical solution to the elastic-wave equation. It also gives a better estimate of elastic parameters than a pure LSRTM method for elastic PP reflections.},
doi = {10.1093/gji/ggab193},
journal = {Geophysical Journal International},
number = 1,
volume = 227,
place = {United Kingdom},
year = {Wed May 19 00:00:00 EDT 2021},
month = {Wed May 19 00:00:00 EDT 2021}
}

Journal Article:
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https://doi.org/10.1093/gji/ggab193

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