Joint Gramian inversion of geophysical data with different resolution capabilities

Xiaolei, T.U.; Zhdanov, M.S.; Xiaolei, T.U; Zhdanov, M.S

doi:10.1190/segam2020-3426813.1

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Joint Gramian inversion of geophysical data with different resolution capabilities

Xiaolei, T.U.; Zhdanov, M.S.

SEG Technical Program Expanded Abstracts 2020-October: 1750-1754

2020

ISSN/ISBN: 1949-4645

DOI: 10.1190/segam2020-3426813.1
Accession: 098005019

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Summary

Joint inversion of multiphysics data is a practical approach to the integration of geophysical data, which produces models of reduced uncertainty and improved resolution. The development of effective methods of joint inversion requires considering different resolutions of different geophysical methods. This paper presents a new framework of joint inversion of multiphysics data, which is based on Gramian constraints and mitigates the difference in resolution capabilities of different geophysical methods. Our method enforces structural similarity between different model parameters through minimizing a structural Gramian term and it also balances the different resolutions of geophysical methods using a multiscale resampling strategy. The effectiveness of the proposed method is demonstrated by synthetic model study of joint inversion of the P-wave traveltime and gravity data.