A Fast Algorithm for 3D Focusing Inversion of Magnetic Data and Its Application in Geothermal Exploration

Weiming Dai, Hongfa Jia (), Niande Jiang, Yanhong Liu, Weihui Zhou, Zhiying Zhu and Shuai Zhou
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Weiming Dai: College of Information Engineering, Gan Dong University, Fuzhou 344000, China
Hongfa Jia: College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China
Niande Jiang: College of Information Engineering, Gan Dong University, Fuzhou 344000, China
Yanhong Liu: College of Information Engineering, Gan Dong University, Fuzhou 344000, China
Weihui Zhou: College of Information Engineering, Gan Dong University, Fuzhou 344000, China
Zhiying Zhu: College of Information Engineering, Gan Dong University, Fuzhou 344000, China
Shuai Zhou: College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China

Energies, 2024, vol. 17, issue 16, 1-14

Abstract: This paper presents a fast focusing inversion algorithm of magnetic data based on the conjugate gradient method, which can be used to describe the underground target geologic body efficiently and clearly. The proposed method realizes an effect similar to matrix compression by changing the computation order, calculating the inner product of vectors and equivalent expansion of expressions. Model tests show that this strategy successfully reduces the computation time of a single iteration of the conjugate gradient method, so the three-dimensional magnetic data inversion is realized under a certain number of iterations. In this paper, the detailed calculation steps of the proposed inversion method are given, and the effectiveness and high efficiency of the proposed fast focusing inversion method are verified by three theoretical model tests and a set of measured data. Finally, the fast focus inversion algorithm is applied to the magnetic data of Gonghe Basin, Qinghai Province, to describe the spatial distribution range of deep hot dry rock, which provides a direction for the continuous exploration of geothermal resources in this area.

Keywords: physical property inversion; large-scale data; hot dry rock (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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