Particle Swarm Optimization Method for Stochastic Inversion of MTEM Data
文献类型:期刊论文
作者 | Olalekan, Fayemi; Di, Qingyun |
刊名 | IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
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出版日期 | 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. |
WOS关键词 | ALGORITHM |
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研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:000454209200007 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
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 |
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. |
入库方式: OAI收割
来源:地质与地球物理研究所
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