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Development of the Inversion Method for Transient Electromagnetic Data

delete2020-01-01
delete54
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OA
AI
G
Guoqiang Xue
H
Hai Li *
Y
Yiming He
J
Junjie Xue
X
Xin Wu
DOI:10.1109/ACCESS.2020.3013626delete
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摘要

摘要

En 中文
Transient electromagnetic method (TEM) is a geophysical tool to obtain resistivity distribution in the subsurface. Combining with the resistivity property of typical rocks, the TEM method can make inferences of the geological maps underground. The inversion method is the main technique to extract resistivity form the recorded TEM data. There are various inversion methods that have been applied to TEM data, each of which favors different model structures. It is essential to choose the optimal inversion algorithm for a TEM survey in a given geological setting. Thus, this article presents a systematic summary of recent developments of inversion methods for TEM data. We first summarize the basic concept of the TEM inversion theory. Then, the recent developments TEM inverse method are divided into deterministic inversion and stochastic inversion. For the deterministic method, we present the development of constrained inversion and joint inversion. For the stochastic method, we analyze the particle swarm optimization, Bayesian inversion, and TEM pseudo-seismic imaging. Thereafter, we prospect the future research direction of the TEM method.
Keyword:
Mathematical model
Data models
Stochastic processes
Inverse problems
Geology
Transient analysis
Transient electromagnetic method
inverse problem
progress
particle swarm optimization
Bayesian inversion
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期刊

IEEE Access 封面图
IEEE Access
IF:
3.6
论文数:
9.8W
被引数:
29.4W

机构

U
university of chinese academy of sciences, cas
学者数:
4.1W
论文数: 3.8W
被引数: 75
C
chinese academy of sciences
学者数:
56.7W
论文数: 45.0W
被引数: 704
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