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Research on Small-Loop Transient Electromagnetic Method Forward and Nonlinear Optimization Inversion Method

delete2023-01-01
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PRE
AI
Z
Zhengyu Xu
X
Xian Liao
L
Longhuan Liu
N
Nengyi Fu
Z
Zhihong Fu *
DOI:10.1109/TGRS.2023.3237842delete
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摘要

摘要

En 中文
The small-loop transient electromagnetic (TEM) method has great application prospects in shallow surface geophysical exploration. However, the theoretical research on the forward and inversion of this method is obviously lagging behind, which seriously affects the application effect in practical engineering. For the oscillation problem of the small-loop TEM response calculated by using the forward theory of the conventional TEM methods, the dipole integral superposition method was proposed to solve the problem in this article. The transmitter source is divided into an infinite number of electric dipoles, and the calculation expressions of the electromagnetic field components satisfied by the electric dipoles are deduced, and the forward calculation problem of the layered model of the small-loop TEM method is solved. For the small-loop TEM method inversion problem, the simulated annealing (SA) method was presented for inversion calculation in this article. First, the influence of the selection of the initial temperature on the inversion result of the SA algorithm was analyzed. Then, we demonstrate the algorithm's flexibility by choosing different initial models and search ranges and concluded that the different initial models and search ranges do not affect the inversion results of the SA algorithm. Next, the typical layered models were established, and the SA algorithm was used to carry out calculations. The research results show that the SA algorithm is an excellent global optimization algorithm, which can easily jump out of the local minima and converge to the global minima. Finally, we processed the measured data through inversion calculations and compared it with the results of the other three methods to verify the effectiveness and accuracy of the SA algorithm for small-loop TEM data processing. The research content solves the theoretical problem of the small-loop TEM method forward and inversion, promotes the development of the small-loop TEM method technology, and objectively and effectively solves practical engineering application problems.
Keyword:
Transmitters
Optimization
Transient analysis
Signal processing algorithms
Conductivity
Data processing
Oscillators
Forward calculation
optimization inversion
simulated annealing (SA)
small-loop transient electromagnetic (TEM) method

期刊

IEEE Transactions on Geoscience and Remote Sensing 封面图
IEEE Transactions on Geoscience and Remote Sensing
IF:
8.6
论文数:
2.1W
被引数:
10.7W

机构

C
Chongqing University
学者数:
5.1W
论文数: 4.1W
被引数: 6.0W
U
University of Tulsa
学者数:
1.6K
论文数: 1.4K
被引数: 1.6K
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