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Open Access

3D joint inversion of controlled-source audio-frequency magnetotelluric and magnetotelluric data

Zhihao RONGYunhe LIU( )
College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
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Abstract

Different geophysical exploration methods have significant differences in terms of exploration depth, especially in frequency domain electromagnetic (EM) exploration. According to the definition of skin depth, this difference will increase with the effective detection frequency of the method. As a result, when performing three-dimensional inversion on single type of EM data, it is not possible to effectively distinguish the subsurface geoelectric structure at the full scale. Therefore, it is necessary to perform joint inversion on different type of EM data. In this paper we combine the magnetotelluric method (MT) with the controlled-source audio-magnetotelluric method (CSAMT) to study the frequency-domain three-dimensional (3D) joint inversions, and we use the unstructured finite-element method to do the forward modeling for them, so that the numerical simulation accuracies of different electromagnetic methods can be satisfied. By combining the two sets of data, we can obtain the sensitivity of the electrical structure at different depths, and depict the full-scale subsurface geoelectric structures. In actual mineral exploration, the 3D joint inversion is more useful for identifying subsurface veins in the shallow part and blind mines in the deep part. It can delineate the morphological distribution of ore bodies more completely and provide reliable EM interpretations to guide the mining of minerals.

References

 

Amestoy P R, Guermouche A, L’Excellent J Y, et al. 2006. Hybrid scheduling for the parallel solution of linear systems. Parallel Computing, 32: 136-156.

 

Cagniard L. 1953. Basic theory of the magnetotelluric method of geophysical prospecting. Geophysics, 18: 605-635.

 

Cagniard L. 2002. Basic theory of the magneto-telluric method of geophysical prospecting. Geophysics, 18(3): 605-635.

 

Cao X Y, Yin C C, Yan L, et al. 2020. 3D MT anisotropic inversion based on finite-element method with unstructured grids. Acta Geologica Sinica(English edition), 93: doi: 10.1111/1755-6724.14124.

 

Chen X Z, Liu Y H, Yin C C, et al. 2020. Three-dimensional inversion of controlled-source audio-frequency magne-totelluric data based on unstructured finite-element method. Applied Geophysics, 17: 349-360.

 

Commer M, Newman G A. 2009. Three-dimensional controlled-source electromagnetic and magnetotelluric joint inversion. Geophysical Journal International, 178: 1305-1316.

 

Gallardo L A, Meju M A. 2003. Characterization of hetero-geneous near-surface materials by joint 2D inversion of DC resistivity and seismic data. Geophysical Research Letter, 30: 1658.

 

Guo Z W, Hu L Y, Liu C M, et al. 2019. Application of the CSAMT method to Pb-Zn mineral deposits: A case study in Jianshui, China. Minerals, 9(12): 726.

 

He J S. 1990. CSAMT. Changsha: Central South University of Technology Press, 1-169. (in Chinese)

 

Hu X Y, Peng R H, Wu G J, et al. 2013.Mineral exploration using CSAMT data: Application to Longmen region metallogenic belt, Guangdong Province, China. Geophysics, 78(3): B111-B119.

 

Jin J M. 2002. The finite element method in electromagnetics. New York: Wiley-IEEE Press, 165-206.

 

Key K. 2009. 1D inversion of multi-component, multi-frequency marine CSEM data: Methodology and synthetic studies for resolving thin resistive layers. Geophysics, 74(2): F9-F20.

 

Key K. 2016. MARE2DEM: A 2-D inversion code for controlled-source electromagnetic and magnetotelluric data. Geophysical Journal International, 207(1): 571-588.

 

Liu D C, Nocedal J. 1989. On the limited memory BFGS method for large scale optimization. Mathematical Programming, 45: 503-528.

 

Newman G A, Alumbaugh D L. 2000. Three-dimensional magnetotelluric inversion using non-linear conjugate gradients. Geophysical Journal International, 140(2): 410-424.

 

Qiu C K, Yin C C, Liu Y H, et al. 2018. 3D forward modeling of controlled-source audio-frequency magnetotellurics in arbitrarily anisotropic media. Chinese Journal of Geophysics, 61(8): 3488-3498. (in Chinese with English abstract)

 

Tikhonov A N, Arsenin V Y. 1977. Solutions of ill-posed problems. New York: John Wiley and Sons, 1-258.

 

Yin C C, Sun S Y, Gao X H, et al. 2018. 3D joint inversion of magnetotelluric and gravity data based on local correlation constraints. Chinese Journal of Geophysics, 61: 358-367. (in Chinese with English abstract)

 

Yin C C, Liu Y H, Xiong B. 2020. Status and prospect of 3D inversions in EM geophysics. Science China Earth Sciences, 63: 452-455. (in Chinese)

Global Geology
Pages 26-33
Cite this article:
RONG Z, LIU Y. 3D joint inversion of controlled-source audio-frequency magnetotelluric and magnetotelluric data. Global Geology, 2022, 25(1): 26-33. https://doi.org/10.3969/j.issn.1673-9736.2022.01.04

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Received: 09 November 2021
Revised: 30 December 2021
Published: 25 February 2022
© 2022 GLOBAL GEOLOGY
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