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• W2765223650 endingPage "1462" @default.
• W2765223650 startingPage "1445" @default.
• W2765223650 abstract "Elastic full-waveform inversion (EFWI) is a quantitative data fitting procedure that recovers multiple subsurface parameters from multicomponent seismic data. As density is involved in addition to P- and S-wave velocities, the multiparameter EFWI suffers from more serious tradeoffs. In addition, compared with P- and S-wave velocities, the misfit function is less sensitive to density perturbation. Thus, a robust density reconstruction remains a difficult problem in multiparameter EFWI. In this paper, we develop an improved scattering-integral-based truncated Gauss–Newton method to simultaneously recover P- and S-wave velocities and density in EFWI. In this method, the inverse Gauss–Newton Hessian has been estimated by iteratively solving the Gauss–Newton equation with a matrix-free conjugate gradient algorithm. Therefore, it is able to properly handle the parameter tradeoffs. To give a detailed illustration of the tradeoffs between P- and S-wave velocities and density in EFWI, wavefield-separated sensitivity kernels and the Gauss–Newton Hessian are numerically computed, and their distribution characteristics are analyzed. Numerical experiments on a canonical inclusion model and a modified SEG/EAGE Overthrust model have demonstrated that the proposed method can effectively mitigate the tradeoff effects, and improve multiparameter gradients. Thus, a high convergence rate and an accurate density reconstruction can be achieved." @default.
• W2765223650 created "2017-11-10" @default.
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• W2765223650 date "2017-11-08" @default.
• W2765223650 modified "2023-10-16" @default.
• W2765223650 title "Density reconstruction in multiparameter elastic full-waveform inversion" @default.
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• W2765223650 doi "https://doi.org/10.1088/1742-2140/aa93b0" @default.
• W2765223650 hasPublicationYear "2017" @default.
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