Research on the forward modeling of controlled-source audio-frequency magnetotelluric in three-dimensional electrical conductivity and magnetic permeability heterogeneity media

2021 ◽  
Vol 14 (9) ◽  
Author(s):  
Huadong Song ◽  
Shengjun Liang
2020 ◽  
Vol 17 (3) ◽  
pp. 349-360
Author(s):  
Xiang-Zhong Chen ◽  
Yun-He Liu ◽  
Chang-Chun Yin ◽  
Chang-Kai Qiu ◽  
Jie Zhang ◽  
...  

2018 ◽  
Vol 49 (3) ◽  
pp. 268-284 ◽  
Author(s):  
Kunpeng Wang ◽  
Handong Tan ◽  
Changhong Lin ◽  
Jianlong Yuan ◽  
Cong Wang ◽  
...  

Geophysics ◽  
2018 ◽  
Vol 83 (5) ◽  
pp. E335-E345 ◽  
Author(s):  
Tim Klose ◽  
Julien Guillemoteau ◽  
François-Xavier Simon ◽  
Jens Tronicke

In near-surface geophysics, small portable loop-loop electromagnetic induction (EMI) sensors using harmonic sources with a constant and rather small frequency are increasingly used to investigate the electrical properties of the subsurface. For such sensors, the influence of electrical conductivity and magnetic permeability on the EMI response is well-understood. Typically, data analysis focuses on reconstructing an electrical conductivity model by inverting the out-of-phase response. However, in a variety of near-surface applications, magnetic permeability (or susceptibility) models derived from the in-phase (IP) response may provide important additional information. In view of developing a fast 3D inversion procedure of the IP response for a dense grid of measurement points, we first analyze the 3D sensitivity functions associated with a homogeneous permeable half-space. Then, we compare synthetic data computed using a linear forward-modeling method based on these sensitivity functions with synthetic data computed using full nonlinear forward-modeling methods. The results indicate the correctness and applicability of our linear forward-modeling approach. Furthermore, we determine the advantages of converting IP data into apparent permeability, which, for example, allows us to extend the applicability of the linear forward-modeling method to high-magnetic environments. Finally, we compute synthetic data with the linear theory for a model consisting of a controlled magnetic target and compare the results with field data collected with a four-configuration loop-loop EMI sensor. With this field-scale experiment, we determine that our linear forward-modeling approach can reproduce measured data with sufficiently small error, and, thus, it represents the basis for developing efficient inversion approaches.


2019 ◽  
Vol 164 ◽  
pp. 75-86 ◽  
Author(s):  
Kunpeng Wang ◽  
Hui Cao ◽  
Changsheng Duan ◽  
Jian Huang ◽  
Fulong Li

Geophysics ◽  
1988 ◽  
Vol 53 (5) ◽  
pp. 727-729
Author(s):  
L. C. Bartel ◽  
R. D. Jacobson

We welcome the opportunity to respond to comments by Szarka on our recent paper. The main points he raised on our near‐field correction scheme for controlled‐source audio‐frequency magnetotelluric (CSAMT) data are the application of the correction scheme and the near‐field/far‐field demarcation in the presence of layers and the application in the presence of electrical structure beneath the transmitter location. In our paper, we addressed the application for three‐dimensional electrical structure beneath the receiver location with the transmitter over a homogeneous half‐space. In this reply we wish to clarify these points and point out possible limitations of our correction scheme.


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