Three-Dimensional Marine Magnetotelluric Parallel forward Modeling in Conductive and Magnetic Anisotropic Medium Using Finite-Element Method Based on Secondary Field

被引:0
|
作者
Zhou, Zongyi [1 ]
Xiao, Tiaojie [1 ,2 ]
Zhou, Junjun [3 ]
Zhu, Xiaoxiong [4 ]
Yang, Bo [1 ,2 ]
Gong, Chunye [1 ,5 ]
Liu, Jie [1 ,2 ]
Wang, Yun [6 ]
机构
[1] Natl Univ Def Technol, Coll Comp, Changsha 410073, Peoples R China
[2] Naitonal Univ Def Technol, Lab Digitizing Software Frontier Equipment, Changsha 410073, Peoples R China
[3] Henan Polytech Univ, Dept Phys & Elect Informat, Jiaozuo 454000, Peoples R China
[4] Cent South Univ, Sch Geosci & Info Phys, Changsha 410083, Peoples R China
[5] Natl Supercomp Ctr Tianjin, Tianjin 300457, Peoples R China
[6] China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China
基金
中国国家自然科学基金;
关键词
three-dimensional; marine magnetotelluric; anisotropy; forward modeling; edge-based finite element method; secondary field; SUSCEPTIBILITY; INVERSION;
D O I
10.3390/jmse12101750
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The marine magnetotelluric (MMT) method is a significant tool extensively utilized in offshore studies, including the understanding of the Earth's tectonics and hydrocarbon exploration. Conductive anisotropy and non-zero magnetic susceptibility are common phenomena observed in the Earth's subsurface, and MMT forward modeling is the basis of practical inversion. However, numerical modeling that incorporates both conductive anisotropy and magnetic susceptibility has received limited attention. Moreover, both accuracy and efficiency are crucial in developing a 3D MMT modeling algorithm. Therefore, we developed a multi-level parallel MMT forward modeling algorithm that is capable of simultaneously modeling conductive and magnetic arbitrary anisotropic models using the vector finite element method based on the secondary field formula. The algorithm's accuracy was validated through comparisons with previously published results for an arbitrary anisotropic model. The results show that the maximum relative error is below 2%, and the speedup reaches an impressive value of 552.41 when running with 2048 cores. Furthermore, the MMT responses of conductive anisotropy and magnetic susceptibility were comprehensively analyzed by several typical models. Our findings highlight the importance of considering magnetic susceptibility in magnetite-rich regions, particularly as the MMT responses may exhibit opposite responses for anomalies with lower resistivity and higher magnetic susceptibility compared with the surrounding rocks.
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页数:20
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