Development of the Inversion Method for Transient Electromagnetic Data
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 re...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9154379/ |
| _version_ | 1818579340144672768 |
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| author | Guoqiang Xue Hai Li Yiming He Junjie Xue Xin Wu |
| author_facet | Guoqiang Xue Hai Li Yiming He Junjie Xue Xin Wu |
| author_sort | Guoqiang Xue |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T07:00:09Z |
| format | Article |
| id | doaj.art-2e2804c7bac44a85aa48522a630a176d |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-16T07:00:09Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-2e2804c7bac44a85aa48522a630a176d2022-12-21T22:40:11ZengIEEEIEEE Access2169-35362020-01-01814617214618110.1109/ACCESS.2020.30136269154379Development of the Inversion Method for Transient Electromagnetic DataGuoqiang Xue0https://orcid.org/0000-0001-5020-021XHai Li1https://orcid.org/0000-0001-8896-9585Yiming He2https://orcid.org/0000-0001-5338-5889Junjie Xue3https://orcid.org/0000-0001-8103-0380Xin Wu4https://orcid.org/0000-0003-2326-3404Key Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, ChinaCollege of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing, ChinaKey Laboratory of Mineral Resources, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing, ChinaTransient 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.https://ieeexplore.ieee.org/document/9154379/Transient electromagnetic methodinverse problemprogressparticle swarm optimizationBayesian inversion |
| spellingShingle | Guoqiang Xue Hai Li Yiming He Junjie Xue Xin Wu Development of the Inversion Method for Transient Electromagnetic Data IEEE Access Transient electromagnetic method inverse problem progress particle swarm optimization Bayesian inversion |
| title | Development of the Inversion Method for Transient Electromagnetic Data |
| title_full | Development of the Inversion Method for Transient Electromagnetic Data |
| title_fullStr | Development of the Inversion Method for Transient Electromagnetic Data |
| title_full_unstemmed | Development of the Inversion Method for Transient Electromagnetic Data |
| title_short | Development of the Inversion Method for Transient Electromagnetic Data |
| title_sort | development of the inversion method for transient electromagnetic data |
| topic | Transient electromagnetic method inverse problem progress particle swarm optimization Bayesian inversion |
| url | https://ieeexplore.ieee.org/document/9154379/ |
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