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

Journal Article · 04 February 2019 · Geophysics

DOI: https://doi.org/10.1190/geo2017-0832.1 · OSTI ID:1492537

Pan, Wenyong ^[1]; Innanen, Kristopher A. ^[2]; Geng, Yu ^[2]; Li, Junxiao ^[2]

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1. Los Alamos National Lab. (LANL), Los Alamos, NM (United States); Univ. of Calgary, Calgary, AB (Canada)
2. Univ. of Calgary, Calgary, AB (Canada)

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.

• Research Organization: Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
• Sponsoring Organization: National Science and Engineering Research Council of Canada (NSERC, CRDPJ 461179-13); USDOE
• Grant/Contract Number: 89233218CNA000001
• OSTI ID: 1492537
• Report Number(s): LA-UR--18-20190
• Journal Information: Geophysics, Journal Name: Geophysics Journal Issue: 2 Vol. 84; ISSN 0016-8033
• Publisher: Society of Exploration GeophysicistsCopyright Statement
• Country of Publication: United States
• Language: English