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Title: Joint PP and PS plane-wave wave-equation migration-velocity analysis

Abstract

Conventional joint PP and PS velocity analysis is based on ray tomography. We develop a joint PP and PS wave-equation migration-velocity-analysis method using plane-wave common-image gathers (CIGs) to produce accurate P- and S-wave velocity models. The objective function of our new method consists of three terms: The first and second terms penalize the moveout residuals computed from PP and PS plane-wave CIGs, respectively, and the third term constrains the nonzero relative depth shifts between the PP and PS migration images. The moveout of plane-wave CIGs is automatically picked using a semblance analysis method, and the relative depth shifts between the PP and PS images are automatically computed using dynamic warping or manually picking the depths of certain primary reflectors. The moveout residuals and the relative depth shifts are transformed into weighted image perturbations, and they are then projected into the velocity models to update the P- and S-wave velocity models using the scalar-wave equations and their linearized forms. Here, numerical tests with synthetic and multicomponent field data demonstrate that our method can simultaneously invert for accurate P- and S-wave velocity models for elastic migration.

Authors:
 [1];  [2]; ORCiD logo [1]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
  2. King Abdullah Univ. of Science and Technology, Thuwal (Saudi Arabia)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
USDOE Office of Fossil Energy (FE)
OSTI Identifier:
1542820
Report Number(s):
LA-UR-18-26186
Journal ID: ISSN 0016-8033
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Accepted Manuscript
Journal Name:
Geophysics
Additional Journal Information:
Journal Volume: 84; Journal Issue: 4; Journal ID: ISSN 0016-8033
Publisher:
Society of Exploration Geophysicists
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; Earth Sciences; velocity analysis; least squares; inversion

Citation Formats

Feng, Zongcai, Guo, Bowen, and Huang, Lianjie. Joint PP and PS plane-wave wave-equation migration-velocity analysis. United States: N. p., 2019. Web. doi:10.1190/geo2018-0521.1.
Feng, Zongcai, Guo, Bowen, & Huang, Lianjie. Joint PP and PS plane-wave wave-equation migration-velocity analysis. United States. doi:10.1190/geo2018-0521.1.
Feng, Zongcai, Guo, Bowen, and Huang, Lianjie. Mon . "Joint PP and PS plane-wave wave-equation migration-velocity analysis". United States. doi:10.1190/geo2018-0521.1.
@article{osti_1542820,
title = {Joint PP and PS plane-wave wave-equation migration-velocity analysis},
author = {Feng, Zongcai and Guo, Bowen and Huang, Lianjie},
abstractNote = {Conventional joint PP and PS velocity analysis is based on ray tomography. We develop a joint PP and PS wave-equation migration-velocity-analysis method using plane-wave common-image gathers (CIGs) to produce accurate P- and S-wave velocity models. The objective function of our new method consists of three terms: The first and second terms penalize the moveout residuals computed from PP and PS plane-wave CIGs, respectively, and the third term constrains the nonzero relative depth shifts between the PP and PS migration images. The moveout of plane-wave CIGs is automatically picked using a semblance analysis method, and the relative depth shifts between the PP and PS images are automatically computed using dynamic warping or manually picking the depths of certain primary reflectors. The moveout residuals and the relative depth shifts are transformed into weighted image perturbations, and they are then projected into the velocity models to update the P- and S-wave velocity models using the scalar-wave equations and their linearized forms. Here, numerical tests with synthetic and multicomponent field data demonstrate that our method can simultaneously invert for accurate P- and S-wave velocity models for elastic migration.},
doi = {10.1190/geo2018-0521.1},
journal = {Geophysics},
number = 4,
volume = 84,
place = {United States},
year = {2019},
month = {5}
}

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