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
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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 |
DOI | 10.1088/1742-6596/2025/1/012010 |
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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