IGGCAS OpenIR  > 页岩气与地质工程院重点实验室
Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data
Olalekan, Fayemi; Di, Qingyun
2018-12-01
Source PublicationIEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
Volume15Issue:12Pages:1832-1836
AbstractAn improved implementation workflow for centered-centered progressive particle swarm optimization (CCPSO) inversion technique with stabilizing functional, irregular CCPSO (IRCCPSO), for successful prospecting of subsurface resources using multitransient electromagnetic method (MTEM) was introduced in this letter. The stabilizing functional was used to introduce constraint in the inversion algorithm; thus, the global best position was updated using multiobjective functional. The regularization parameters used were selected from L-curve that best minimizes the global solution. Comparison between the results obtained from IRCCPSO, general centered-regressive PSO (RGPSO) and irregular RGPSO (IRGPSO inversion techniques was used to establish the effectiveness of the new work flow. Furthermore, pseudo2-D inversion study over a buried resistive body model was carried out using a limited amount of search space. Last, 2-D inversion was carried out using the common offset method. The obtained inversion results were a good representation of the earth model. Consequently, this confirms the effectiveness of the IRCCPSO technique as a good geophysical tool for MTEM inversionusing a limited search space.
Keyword2-D inversion Multi-channel transient electromagnetic method (MTEM) method particle swarm optimization stabilizing functional
DOI10.1109/LGRS.2018.2864143
Funding OrganizationChinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting
WOS KeywordALGORITHM
Language英语
Funding ProjectChinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting[ZDYZ2012-1-05-04]
Funding OrganizationChinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; Chinese Academy of Science ; Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000454209200007
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/90243
Collection页岩气与地质工程院重点实验室
Corresponding AuthorDi, Qingyun
AffiliationChinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
Recommended Citation
GB/T 7714
Olalekan, Fayemi,Di, Qingyun. Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2018,15(12):1832-1836.
APA Olalekan, Fayemi,&Di, Qingyun.(2018).Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,15(12),1832-1836.
MLA Olalekan, Fayemi,et al."Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 15.12(2018):1832-1836.
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