Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data

doi:10.1109/LGRS.2018.2864143

CORC > 地质与地球物理研究所 > 中国科学院地质与地球物理研究所 > 中国科学院页岩气与地质工程重点实验室

	Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data
	Olalekan, Fayemi; Di, Qingyun
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2018-12-01
卷号	15 期号:12 页码:1832-1836
关键词	2-D inversion Multi-channel transient electromagnetic method (MTEM) method particle swarm optimization stabilizing functional
ISSN号	1545-598X
DOI	10.1109/LGRS.2018.2864143
英文摘要	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.
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]
WOS关键词	ALGORITHM
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000454209200007
资助机构	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
内容类型	期刊论文
源URL	[http://ir.iggcas.ac.cn/handle/132A11/90243]
专题	地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室
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
推荐引用方式 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.