magnetic gradient
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Minerals ◽  
2021 ◽  
Vol 11 (10) ◽  
pp. 1129
Author(s):  
Longwei Chen ◽  
Fang Ouyang

The magnetic gradient tensor provides a powerful tool for detecting magnetic bodies because of its ability to emphasize detailed features of the magnetic anomalies. To interpret field measurements obtained by magnetic gradiometry, the forward calculation of magnetic gradient fields is always necessary. In this paper, we present a contraction integral equation method to simulate the gradient fields produced by 3-D magnetic bodies of arbitrary shapes and high susceptibilities. The method employs rectangular prisms to approximate the source region with the assumption that the magnetization in each element is homogeneous. The gradient fields are first solved in the Fourier domain and then transformed into the spatial domain by 2-D Gauss-FFT. This calculation is performed iteratively until the required accuracy is reached. The convergence of the iterative procedure is ensured by a contraction operator. To facilitate application, we introduce a FORTRAN program to implement the algorithm. This program is intended for users who show interests in 3D magnetic modeling at high susceptibility. The performance of the program, including its computational accuracy, efficiency and convergence behavior, is tested by several models. Numerical results show that the code is computationally accurate and efficient, and performs well at a wide range of magnetic susceptibilities from 0 SI to 1000 SI. This work, therefore, provides a significant tool for 3D forward modeling of magnetic gradient fields at high susceptibility.



2021 ◽  
Vol 16 (2) ◽  
Author(s):  
Y.-Y. Liu ◽  
L.A. Orona ◽  
Samuel F. Neyens ◽  
E.R. MacQuarrie ◽  
M.A. Eriksson ◽  
...  
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Author(s):  
Zhengyu Lai ◽  
Tiantian Xu ◽  
Chengyang Huang ◽  
Zhiming Hao ◽  
Shanxiu Zhang ◽  
...  


2021 ◽  
Author(s):  
Deok-Young Lee ◽  
Sangkyung Lee ◽  
Sin Hyuk Yim
Keyword(s):  


AIP Advances ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 075322
Author(s):  
Bo Wang ◽  
Guoquan Ren ◽  
Zhining Li ◽  
Qingzhu Li




2021 ◽  
Vol 783 (1) ◽  
pp. 012142
Author(s):  
Li Junfeng ◽  
Yang Yong ◽  
Zhu Weiwei ◽  
Feng Suli ◽  
Han Yijun ◽  
...  


AIP Advances ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 045211
Author(s):  
Lei Xu ◽  
Ning Zhang ◽  
Huadong Chen ◽  
Chunsheng Lin ◽  
Xu Li ◽  
...  


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