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• W3136322547 abstract "Seismic multicomponent, here refers to P-P wave (PP) and P- shear wave (SV), joint inversion is an important approach to improve the accuracy of S-wave velocity and density prediction. Compared with P-P wave data, converted wave data are more sensitive to these parameters. Thus, introducing these data to the seismic inversion could improve the inversion accuracy of S-wave velocity and density. Due to the travel-time gap between the multicomponent data, multicomponent inversion usually needs to be prepared for registration processing in advance. However, registration methods often suffer from matching errors, which ultimately affect the quality of the inversion results. Based on the optimal transmission idea, a registration-free multicomponent joint amplitude variation with offset/angle (AVO/AVA) inversion algorithm is developed in this article. The proposed method adopts the Earth mover’s distance between the synthetic P-SV wave and the observed P-P wave by calculating the optimal transport path. Besides <inline-formula xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink> <tex-math notation=LaTeX>${ell _{1-2}}$ </tex-math></inline-formula> norm is exploited as the penalty norm, where the regularized misfit function is minimized by the alternating direction method of multipliers (ADMM) algorithm. The synthetic data test and real seismic data application show that the proposed method can retrieve the S-wave velocity and density information better than the conventional method. The proposed method can not only effectively avoid the cumbersome registration steps, but also minimize the registration error and avoid the subsequent error accumulation." @default.
• W3136322547 created "2021-03-29" @default.
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• W3136322547 date "2022-01-01" @default.
• W3136322547 modified "2023-10-16" @default.
• W3136322547 title "Registration-Free Multicomponent Joint AVA Inversion Using Optimal Transport" @default.
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• W3136322547 doi "https://doi.org/10.1109/tgrs.2021.3063271" @default.
• W3136322547 hasPublicationYear "2022" @default.
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