中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A New Method for Geophysical Induced Polarization Inversion Based on Stochastic Medium Model and Sample-Compressed Artificial Neural Network

文献类型:期刊论文

作者Liu,Weiqiang2,3; Yang,Liangyong1
刊名Journal of Physics: Conference Series
出版日期2021-09-01
卷号2025期号:1
关键词Induced polarization inversion stochastic medium model artificial neural network
ISSN号1742-6588
DOI10.1088/1742-6596/2025/1/012010
英文摘要Abstract Induced polarization (IP) is a near-surface geophysical exploration method. Inverting the electrical properties of the underground medium from surface apparent IP parameters is a highly nonlinear problem. To further improve the accuracy, the artificial neural network (ANN) algorithm is applied to the two-dimensional (2D) IP data inversion for the first time. We firstly produced smooth geo-electric models based on the stochastic medium theory, and obtained the corresponding theoretical responses through forward modelling. Then, we compressed the responses and models through image compression technology. Finally, the above compressed responses and models were used as input and output samples to train an optimal network system for inversion. We tested the algorithm with synthetic examples. The results show that ANN can improve the longitudinal resolution of the inversion results and make the inversion results more focused.
语种英语
WOS记录号IOP:1742-6588-2025-1-012010
出版者IOP Publishing
源URL[http://ir.iggcas.ac.cn/handle/132A11/102579]  
专题中国科学院地质与地球物理研究所
作者单位1.Institute of Geology and Geophysics, Chinese Academy of Sciences (IGGCAS), Beijing 100029, China
2.The Key Laboratory of Geophysical EM Probing Technologies, MNR of Institute of Geophysical and Geochemical Exploration of Chinese Academy of Geological Sciences, Langfang 065000, China
3.College of Geophysics, China University of Petroleum-Beijing (CUP), Beijing 102249, China
推荐引用方式
GB/T 7714
Liu,Weiqiang,Yang,Liangyong. A New Method for Geophysical Induced Polarization Inversion Based on Stochastic Medium Model and Sample-Compressed Artificial Neural Network[J]. Journal of Physics: Conference Series,2021,2025(1).
APA Liu,Weiqiang,&Yang,Liangyong.(2021).A New Method for Geophysical Induced Polarization Inversion Based on Stochastic Medium Model and Sample-Compressed Artificial Neural Network.Journal of Physics: Conference Series,2025(1).
MLA Liu,Weiqiang,et al."A New Method for Geophysical Induced Polarization Inversion Based on Stochastic Medium Model and Sample-Compressed Artificial Neural Network".Journal of Physics: Conference Series 2025.1(2021).

入库方式: OAI收割

来源:地质与地球物理研究所

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