Regularized joint inversion of magnetotelluric and gravity data based on inequality and Gramian constraints

CHEN Xiao; ZENG Zhi-Wen; DENG Ju-Zhi; ZHANG Zhi-Yong; CHEN Hui; YU Hui; WANG Yan-Guo

doi:10.11720/wtyht.2023.1474

2023 Vol. 47, No. 3

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Article navigation > Geophysical and Geochemical Exploration > 2023 > 47(3): 575-583

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CHEN Xiao, ZENG Zhi-Wen, DENG Ju-Zhi, ZHANG Zhi-Yong, CHEN Hui, YU Hui, WANG Yan-Guo. 2023. Regularized joint inversion of magnetotelluric and gravity data based on inequality and Gramian constraints. Geophysical and Geochemical Exploration, 47(3): 575-583. doi: 10.11720/wtyht.2023.1474

Citation:

CHEN Xiao, ZENG Zhi-Wen, DENG Ju-Zhi, ZHANG Zhi-Yong, CHEN Hui, YU Hui, WANG Yan-Guo. 2023. Regularized joint inversion of magnetotelluric and gravity data based on inequality and Gramian constraints. Geophysical and Geochemical Exploration, 47(3): 575-583. doi: 10.11720/wtyht.2023.1474

Regularized joint inversion of magnetotelluric and gravity data based on inequality and Gramian constraints

1. State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, China;
2. School of Geophysics and Measurement-control Technology, East China University of Technology, Nanchang 330013, China;
3. College of Geoexploration Science and Technology, Jilin University, Changchun 130026, China

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Corresponding author: ZENG Zhi-Wen

Received Date: 21 September 2022

Revised Date: 20 January 2023

Publish Date: 05 July 2023

Abstract

Abstract

Regularized joint inversion based on Gramian constraints is a hot research topic in the field of geophysical joint inversion. Given the difficulty in selecting weighted factors of the regularization and constraint items, it is necessary to introduce inequality constraints into the regularized joint inversion. To investigate the regularized joint inversion of magnetotelluric (MT) and gravity data based on Gramian constraints, this study compared the application effects of the penalty function method and the transform function method in the joint inversion and processed the measured data of a survey line in Xiangshan, Jiangxi Province. According to the results from model experiments, both methods can effectively constrain petrophysical parameters, and the penalty function method has higher flexibility but requires the artificial setting of the weighted factors. Moreover, the processing of the measured data shows that the joint inversion based on inequality and Gramian constraints is highly practical and can improve the precision of geophysical interpretation.
- joint inversion /
- Gramian constraint /
- inequality constraint /
- regularized /
- Xiangshan, Jiangxi