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  2. 地质与地球物理研究所
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  4. 中国科学院油气资源研究重点实验室
Ground-penetrating radar wavefield simulation via physics-informed neural network solver

文献类型：期刊论文

作者Zheng, Yikang1,2; Wang, Yibo1,2
刊名GEOPHYSICS
出版日期2023-03-01
卷号88期号:2页码:KS47-KS57
ISSN号0016-8033
DOI10.1190/GEO2022-0293.1
英文摘要The traditional methods for ground-penetrating radar (GPR) wavefield simulation suffer from numerical dispersion phenomena and difficulties for models with com-plex geometry. We propose to use the physics-informed neural networks (PINNs) to solve the GPR wave equation and model the wavefield propagation. Deep fully connected net-works are used to approximate the solution to the equations. Automatic differentiation with back propagation is taken to calculate the partial derivatives. The loss function combining the wave equation, boundary condition, and temporal constraints is constructed and minimized to train the PINNs. As the solver is mesh-free, this simulation method avoids numerical dispersion artifacts and is very flexible in implementation for inversion. The numerical examples indicate that the PINNs solver for GPR wavefield simulation has high accuracy and efficiency. We also explore the possibility of inverting the electrical parameters from the observed wavefields. The results demonstrate the promising potential of the proposed approach in GPR forward modeling.
WOS关键词DEEP LEARNING FRAMEWORK ; GPR
资助项目CAS Project for Young Scientists in Basic Research[YSBR-020] ; Institute of Geology and Geophysics, Chinese Academy of Sciences[IGGCAS-202102]
WOS研究方向Geochemistry & Geophysics
语种英语
WOS记录号WOS:000983193900006
出版者SOC EXPLORATION GEOPHYSICISTS - SEG
资助机构CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; CAS Project for Young Scientists in Basic Research ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences ; Institute of Geology and Geophysics, Chinese Academy of Sciences
源URL[http://ir.iggcas.ac.cn/handle/132A11/110931]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Wang, Yibo
作者单位1.Chinese Acad Sci, Innovat Acad Earth Sci, Beijing, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resource Res, Beijing, Peoples R China
推荐引用方式
GB/T 7714		 Zheng, Yikang,Wang, Yibo. Ground-penetrating radar wavefield simulation via physics-informed neural network solver[J]. GEOPHYSICS,2023,88(2):KS47-KS57.
APA Zheng, Yikang,&Wang, Yibo.(2023).Ground-penetrating radar wavefield simulation via physics-informed neural network solver.GEOPHYSICS,88(2),KS47-KS57.
MLA Zheng, Yikang,et al."Ground-penetrating radar wavefield simulation via physics-informed neural network solver".GEOPHYSICS 88.2(2023):KS47-KS57.

入库方式： OAI收割

来源：地质与地球物理研究所

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