Two-dimensional data-space joint inversion of magnetotelluric,gravity, magnetic and seismic data with cross-gradient constraints |
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| Authors: | Rongzhe Zhang Tonglin Li Xinhui Deng Xingguo Huang Yongchol Pak |
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| Institution: | 1. College of Geo-Exploration Sciences and Technology, Jilin University, No. 938 Xi Minzhu Street, Changchun, 130026 China;2. College of Geo-Exploration Sciences and Technology, Jilin University, No. 938 Xi Minzhu Street, Changchun, 130026 China
Changchun Institute of Technology, Changchun, 130021 China;3. Department of Earth Science, University of Bergen, Allegate 41, 5020 Bergen, Norway;4. Kimchaek University of Technology, Pyongyang, 999093 Democratic People's Republic of Korea |
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| Abstract: | In recent years, joint inversion has been widely used for integrated geological interpretation. We extended a data-space joint inversion algorithm of magnetotelluric, gravity and magnetic data to include first-arrival seismic travel-time and normalized cross-gradient constraints. We describe the main features of the algorithm and apply it to synthetic data generated for hypothetical models. For the synthetic data, we find that the joint inversion with multiple parameters is superior to the joint inversion with two or even three parameters, which can reduce the multisolution of inversion results more effectively. Furthermore, data-space joint inversion involves fewer memory requirements and better calculation speeds than traditional model-space joint inversion. The normalized cross-gradient constraints can better couple model parameters of different magnitudes compared with traditional unnormalized cross-gradient constraints, resulting in higher levels of structural similarity among resistivity, density, magnetic susceptibility and velocity models. |
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| Keywords: | Joint inversion Data-space Magnetotelluric Gravity Magnetic Seismic Cross-gradient constraints |
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