基于岩石物性引导的地球物理联合反演研究

doi:10.11720/wtyht.2023.0032

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Abstract

The joint processing and integrated interpretation of multi-source geophysical exploration data are indispensable to the exploration evaluation of deep geothermal resources. Joint inversion and post-inversion geological differentiation are two major hot research topics in deep resource exploration. To integrate the multi-source geophysical field information and reduce the inversion multiplicity of single geophysical fields, this study built a structural model using the stratigraphic structure information from seismic interpretation, with the prior information of petrophysical properties as a guide. This study constrained the stratigraphic geophysical parameters using the Gaussian mixture model and conducted regularized joint inversion of gravity, magnetic, and magnetotelluric data, thus achieving the coupling of multiple physical structures. Finally, this study developed the software for the joint inversion of gravity, magnetic, magnetotelluric, and seismic data. Based on the joint inversion results and electrical resistivity, this study predicted the temperature field at typical hot dry rock sites using the Arrhenius law. The forward modeling results of the theoretical model for cubic anomalies were used for the joint inversion. Compared with individual inversion, the joint inversion performs well in the spatial characterization of anomalies and the recovery of physical property values. Furthermore, the joint inversion can fully integrate multiple data on geology, petrophysical properties, and geophysics, thus well conforming to the actual conditions.

Key words： Gaussian mixture model joint inversion of gravity-magnetic-magnetotelluric data petrophysical properties prior information temperature field prediction

Received: 30 January 2023 Published: 23 January 2024

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	Articles by authors
	Sheng LIAN
	Zheng-Pu CHENG
	Xuan LUO
	Jing-Jie LI
	Pu-Yuan TIAN

Cite this article:

Sheng LIAN,Zheng-Pu CHENG,Xuan LUO, et al. Joint inversion of geophysical data under the guidance of petrophysical properties[J]. Geophysical and Geochemical Exploration, 2023, 47(6): 1580-1587.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2023.0032 OR https://www.wutanyuhuatan.com/EN/Y2023/V47/I6/1580

Activation energy E₀ values of magmatic rocks and constant coefficient logσ₀ in Laboratory measurement

Forward model parameters

Density, magnetic susceptibility, resistivity distribution of forward modeling Gaussian mixture model
a—the density-magnetic susceptibility probability distribution density diagram of forward model;b—the right figure is the density-resistivity probability density distribution of forward model

Comparison of separate inversion results and joint inversion results of gravity, magnetic and magnetotelluric data of cuboid model
a—gravity separate inversion results;b—cuboid model joint inversion density results;c—magnetic method separate inversion results;d—cuboid model joint inversion susceptibility results;e—magnetotelluric separate inversion results;f—cuboid model joint inversion resistivity results

Typical seismic exploration results of Gonghe Basin

Joint inversion results of resistivity model

Joint inversion results of density model

Crossplot(a) and density distribution(b) of joint inversion results of density and resistivity

Temperature-depth profile

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