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Title: Interparameter tradeoff quantification for isotropic-elastic full-waveform inversion with various model parameterizations

Abstract

Simultaneous determination of multiple physical parameters using full-waveform inversion (FWI) suffers from interparameter tradeoff diffculty. Analyzing the interparameter tradeoffs in different model parameterizations of isotropic-elastic FWI, and thus determining the appropriate model parameterization, are critical for efficient inversion and obtaining reliable inverted models. Five different model parameterizations are considered and compared including velocity-density, modulus-density, impedance-density and two velocity-impedance parameterizations. The scattering radiation patterns are first used for interparameter tradeoff analysis. Furthermore, a new framework is developed to evaluate the interparameter tradeoff based upon multiparameter Hessian-vector products: multiparameter point spread functions (MPSFs) and interparameter contamination sensitivity kernels (ICSKs), which provide quantitative, second-order measurements of the interparameter contaminations. In the numerical experiments, the interparameter tradeoffs in various model parameterizations are evaluated using the MPSFs and ICSKs. Inversion experiments are then carried out with simple Gaussian-anomaly models and complex Marmousi model. Overall, the parameterization of P-wave velocity, S-wave velocity and density and the parameterization of P-wave velocity, S-wave velocity and S-wave impedance perform best for reconstructing all of the physical parameters. Isotropic-elastic FWI of the Hussar low frequency dataset with various model parameterizations verifies the conclusions.

Authors:
 [1];  [2];  [2];  [2]
  1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Calgary, Calgary, AB (Canada)
  2. Univ. of Calgary, Calgary, AB (Canada)
Publication Date:
Research Org.:
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Sponsoring Org.:
National Science and Engineering Research Council of Canada (NSERC, CRDPJ 461179-13); USDOE
OSTI Identifier:
1492537
Report Number(s):
LA-UR-18-20190
Journal ID: ISSN 0016-8033
Grant/Contract Number:  
89233218CNA000001
Resource Type:
Journal Article: Accepted Manuscript
Journal Name:
Geophysics
Additional Journal Information:
Journal Volume: 84; Journal Issue: 2; Journal ID: ISSN 0016-8033
Publisher:
Society of Exploration Geophysicists
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; full-waveform inversion; model parameterization; elastic media

Citation Formats

Pan, Wenyong, Innanen, Kristopher A., Geng, Yu, and Li, Junxiao. Interparameter tradeoff quantification for isotropic-elastic full-waveform inversion with various model parameterizations. United States: N. p., 2019. Web. doi:10.1190/geo2017-0832.1.
Pan, Wenyong, Innanen, Kristopher A., Geng, Yu, & Li, Junxiao. Interparameter tradeoff quantification for isotropic-elastic full-waveform inversion with various model parameterizations. United States. doi:10.1190/geo2017-0832.1.
Pan, Wenyong, Innanen, Kristopher A., Geng, Yu, and Li, Junxiao. Tue . "Interparameter tradeoff quantification for isotropic-elastic full-waveform inversion with various model parameterizations". United States. doi:10.1190/geo2017-0832.1.
@article{osti_1492537,
title = {Interparameter tradeoff quantification for isotropic-elastic full-waveform inversion with various model parameterizations},
author = {Pan, Wenyong and Innanen, Kristopher A. and Geng, Yu and Li, Junxiao},
abstractNote = {Simultaneous determination of multiple physical parameters using full-waveform inversion (FWI) suffers from interparameter tradeoff diffculty. Analyzing the interparameter tradeoffs in different model parameterizations of isotropic-elastic FWI, and thus determining the appropriate model parameterization, are critical for efficient inversion and obtaining reliable inverted models. Five different model parameterizations are considered and compared including velocity-density, modulus-density, impedance-density and two velocity-impedance parameterizations. The scattering radiation patterns are first used for interparameter tradeoff analysis. Furthermore, a new framework is developed to evaluate the interparameter tradeoff based upon multiparameter Hessian-vector products: multiparameter point spread functions (MPSFs) and interparameter contamination sensitivity kernels (ICSKs), which provide quantitative, second-order measurements of the interparameter contaminations. In the numerical experiments, the interparameter tradeoffs in various model parameterizations are evaluated using the MPSFs and ICSKs. Inversion experiments are then carried out with simple Gaussian-anomaly models and complex Marmousi model. Overall, the parameterization of P-wave velocity, S-wave velocity and density and the parameterization of P-wave velocity, S-wave velocity and S-wave impedance perform best for reconstructing all of the physical parameters. Isotropic-elastic FWI of the Hussar low frequency dataset with various model parameterizations verifies the conclusions.},
doi = {10.1190/geo2017-0832.1},
journal = {Geophysics},
issn = {0016-8033},
number = 2,
volume = 84,
place = {United States},
year = {2019},
month = {2}
}

Journal Article:
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