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Title: Efficient 3-D velocity model building using joint inline and crossline plane-wave wave-equation migration velocity analyses

Abstract

SUMMARY Wave-equation migration velocity analysis (WEMVA) is an image-domain inversion method for velocity model building. Automatic plane-wave WEMVA (PWEMVA) calculates the moveouts of plane-wave common-image gathers (CIGs) by searching a best-fitting parabola with semblance analysis and backprojects residual CIG moveouts into wavefield wave paths with a reflection tomographic kernel. However, 3-D PWEMVA is very computationally expensive because 3-D reflection tomographic inversion requires at least five 3-D reverse-time migrations per iteration and stores two types of source wavefields at model boundaries. We develop a joint inline and crossline PWEMVA method for efficient 3-D velocity model building. We alternatively implement the inline and crossline PWEMVAs with a constraint for each other, in which we iteratively construct the 3-D velocity model update through 1-D spline interpolation of 2-D gradients. The inline and crossline joint inversion is practical since PWEMVA only inverts for low-wavenumber velocity perturbations along wave paths, and the method can take less than 1 per cent of the computational cost of full 3-D PWEMVA. To construct unaliased plane waves for our joint inline and crossline PWEMVA, we develop a 3-D data interpolation method in the frequency–wavenumber (FK) domain to recover regularly and randomly missing traces. The method minimizes the misfit onmore » sufficiently localized data subsets with iterative optimal step lengths and a gradient preconditioner that iteratively selects dominant dips along different azimuths. In numerical experiments, we use a 3-D synthetic seismic data set and a land 3-D field seismic data set acquired at the Farnsworth CO2-EOR (enhanced oil recovery) field to demonstrate the efficacy of our velocity model building and data interpolation methods.« less

Authors:
 [1];  [2];  [2];  [3];  [3];  [3]
  1. Los Alamos National Laboratory, Geophysics Group, MS D452, Los Alamos, NM 87545, USA
  2. Los Alamos National Laboratory, Geophysics Group, MS D452, Los Alamos, NM 87545, USA. E-mails: xuejianliu17@gmail.com
  3. New Mexico Tech, Petroleum Recovery Research Center, 801 Leroy Place, Socorro, NM 87801, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1759154
Grant/Contract Number:  
89233218CNA000001; FC26–05NT42591
Resource Type:
Published Article
Journal Name:
Geophysical Journal International
Additional Journal Information:
Journal Name: Geophysical Journal International Journal Volume: 225 Journal Issue: 1; Journal ID: ISSN 0956-540X
Publisher:
Oxford University Press
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Liu, Xuejian, Huang, Lianjie, Feng, Zongcai, El-kaseeh, George, Will, Robert, and Balch, Robert. Efficient 3-D velocity model building using joint inline and crossline plane-wave wave-equation migration velocity analyses. United Kingdom: N. p., 2020. Web. doi:10.1093/gji/ggaa576.
Liu, Xuejian, Huang, Lianjie, Feng, Zongcai, El-kaseeh, George, Will, Robert, & Balch, Robert. Efficient 3-D velocity model building using joint inline and crossline plane-wave wave-equation migration velocity analyses. United Kingdom. https://doi.org/10.1093/gji/ggaa576
Liu, Xuejian, Huang, Lianjie, Feng, Zongcai, El-kaseeh, George, Will, Robert, and Balch, Robert. Thu . "Efficient 3-D velocity model building using joint inline and crossline plane-wave wave-equation migration velocity analyses". United Kingdom. https://doi.org/10.1093/gji/ggaa576.
@article{osti_1759154,
title = {Efficient 3-D velocity model building using joint inline and crossline plane-wave wave-equation migration velocity analyses},
author = {Liu, Xuejian and Huang, Lianjie and Feng, Zongcai and El-kaseeh, George and Will, Robert and Balch, Robert},
abstractNote = {SUMMARY Wave-equation migration velocity analysis (WEMVA) is an image-domain inversion method for velocity model building. Automatic plane-wave WEMVA (PWEMVA) calculates the moveouts of plane-wave common-image gathers (CIGs) by searching a best-fitting parabola with semblance analysis and backprojects residual CIG moveouts into wavefield wave paths with a reflection tomographic kernel. However, 3-D PWEMVA is very computationally expensive because 3-D reflection tomographic inversion requires at least five 3-D reverse-time migrations per iteration and stores two types of source wavefields at model boundaries. We develop a joint inline and crossline PWEMVA method for efficient 3-D velocity model building. We alternatively implement the inline and crossline PWEMVAs with a constraint for each other, in which we iteratively construct the 3-D velocity model update through 1-D spline interpolation of 2-D gradients. The inline and crossline joint inversion is practical since PWEMVA only inverts for low-wavenumber velocity perturbations along wave paths, and the method can take less than 1 per cent of the computational cost of full 3-D PWEMVA. To construct unaliased plane waves for our joint inline and crossline PWEMVA, we develop a 3-D data interpolation method in the frequency–wavenumber (FK) domain to recover regularly and randomly missing traces. The method minimizes the misfit on sufficiently localized data subsets with iterative optimal step lengths and a gradient preconditioner that iteratively selects dominant dips along different azimuths. In numerical experiments, we use a 3-D synthetic seismic data set and a land 3-D field seismic data set acquired at the Farnsworth CO2-EOR (enhanced oil recovery) field to demonstrate the efficacy of our velocity model building and data interpolation methods.},
doi = {10.1093/gji/ggaa576},
journal = {Geophysical Journal International},
number = 1,
volume = 225,
place = {United Kingdom},
year = {Thu Dec 03 00:00:00 EST 2020},
month = {Thu Dec 03 00:00:00 EST 2020}
}

Journal Article:
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Publisher's Version of Record
https://doi.org/10.1093/gji/ggaa576

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