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Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data
Olalekan, Fayemi; Di, Qingyun
2018-12-01
发表期刊IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
ISSN1545-598X
卷号15期号:12页码:1832-1836
摘要An 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.
关键词2-D inversion Multi-channel transient electromagnetic method (MTEM) method particle swarm optimization stabilizing functional
DOI10.1109/LGRS.2018.2864143
资助者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 ; 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
关键词[WOS]ALGORITHM
语种英语
资助项目Chinese Academy of Science ; National Research and Development Projects for Key Instruments and Technologies for Deep Resources Prospecting[ZDYZ2012-1-05-04]
资助者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 ; 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研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000454209200007
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://ir.iggcas.ac.cn/handle/132A11/90243
专题页岩气与地质工程院重点实验室
通讯作者Di, Qingyun
作者单位Chinese Acad Sci, Inst Geol & Geophys, Key Lab Shale Gas & Geoengn, Beijing 100029, Peoples R China
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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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