IGGCAS OpenIR  > 矿产资源研究院重点实验室
Decoupling induced polarization effect from time domain electromagnetic data in a Bayesian framework
Li, Hai1,2; Xue, Guoqiang1,2,3; He, Yiming1,2,3
2019-11-01
Source PublicationGEOPHYSICS
ISSN0016-8033
Volume84Issue:6Pages:A59-A63
AbstractWe have developed a scheme for decoupling the induced polarization (IP) effect from time-domain electromagnetic (TDEM) data. This scheme is achieved by simultaneously sampling the resistivity and pseudochargeability in a Bayesian framework. The TDEM and IP responses are simulated separately with the sampled model parameters and then are stacked to fit the IP-affected TDEM data. Thus, the influence of the IP phenomenon is eliminated in the process of recovering the resistivity. To reduce the computational cost brought by the Bayesian sampling, we use a 2D parametrization instead of sampling the full 3D space and we use a linear perturbation approximation for calculating the IP response. The linearized inversion results are used as the initial model, and a multiple proposed points algorithm is used to accelerate the sampling. We validate the proposed method with synthetic and field examples showing that it restores accurate estimates of electrical structures from the TDEM data that are significantly affected by the IP phenomenon. Our method could advance the application of the TDEM method to the scenario in which the IP may affect the TDEM data and mask the underlying geologic targets.
DOI10.1190/GEO2019-0247.1
Funding OrganizationBeijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing
WOS KeywordINVERSION
Language英语
Funding ProjectBeijing National Science Foundation[8184089] ; Beijing National Science Foundation[8182054] ; Natural Science Foundation of China[41804074] ; Natural Science Foundation of China[41752440] ; Natural Science Foundation of China[41874162] ; S&T Program of Beijing[Z181100005718001]
Funding OrganizationBeijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Beijing National Science Foundation ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; Natural Science Foundation of China ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing ; S&T Program of Beijing
WOS Research AreaGeochemistry & Geophysics
WOS SubjectGeochemistry & Geophysics
WOS IDWOS:000501594400071
PublisherSOC EXPLORATION GEOPHYSICISTS
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/95834
Collection矿产资源研究院重点实验室
Corresponding AuthorLi, Hai
Affiliation1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Mineral Resources, Beijing 100029, Peoples R China
2.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100029, Peoples R China
First Author AffilicationKey Laboratory of Mineral Resources, Chinese Academy of Sciences
Corresponding Author AffilicationKey Laboratory of Mineral Resources, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Li, Hai,Xue, Guoqiang,He, Yiming. Decoupling induced polarization effect from time domain electromagnetic data in a Bayesian framework[J]. GEOPHYSICS,2019,84(6):A59-A63.
APA Li, Hai,Xue, Guoqiang,&He, Yiming.(2019).Decoupling induced polarization effect from time domain electromagnetic data in a Bayesian framework.GEOPHYSICS,84(6),A59-A63.
MLA Li, Hai,et al."Decoupling induced polarization effect from time domain electromagnetic data in a Bayesian framework".GEOPHYSICS 84.6(2019):A59-A63.
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