IGGCAS OpenIR  > 油气资源研究院重点实验室
Accelerating High-Resolution Seismic Imaging by Using Deep Learning
Liu, Wei1,2; Cheng, Qian2,3; Liu, Linong2; Wang, Yun1; Zhang, Jianfeng4
2020-04-01
Source PublicationAPPLIED SCIENCES-BASEL
Volume10Issue:7Pages:16
AbstractThe emerging applications of deep learning in solving geophysical problems have attracted increasing attention. In particular, it is of significance to enhance the computational efficiency of the computationally intensive geophysical algorithms. In this paper, we accelerate deabsorption prestack time migration (QPSTM), which can yield higher-resolution seismic imaging by compensating absorption and correcting dispersion through deep learning. This is implemented by training a neural network with pairs of small-sized patches of the stacked migrated results obtained by conventional PSTM and deabsorption QPSTM and then yielding the high-resolution imaging volume by prediction with the migrated results of conventional PSTM. We use an encoder-decoder network to highlight the features related to high-resolution migrated results in a high-order dimension space. The training data set of small-sized patches not only reduces the required high-resolution migrated result (for instance, only several inline is required) but leads to a fast convergence in training. The proposed deep-learning approach accelerates the high-resolution imaging by more than 100 times. Field data is used to demonstrate the effectiveness of the proposed method.
Keywordseismic imaging high-resolution deep learning acceleration
DOI10.3390/app10072502
Funding OrganizationNational Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS KeywordIMPLEMENTATION ; INTERPOLATION ; NETWORK
Language英语
Funding ProjectNational Oil and Gas Major Project of China[2017ZX05008-007] ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences[KLOR2018-2] ; National Natural Science Foundation of China[41804129]
Funding OrganizationNational Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; National Oil and Gas Major Project of China ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; Open Research Found from Key Laboratory of Petroleum Resources Research, Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China
WOS Research AreaChemistry ; Engineering ; Materials Science ; Physics
WOS SubjectChemistry, Multidisciplinary ; Engineering, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS IDWOS:000533356200301
PublisherMDPI
Citation statistics
Document Type期刊论文
Identifierhttp://ir.iggcas.ac.cn/handle/132A11/96919
Collection油气资源研究院重点实验室
Corresponding AuthorZhang, Jianfeng
Affiliation1.China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Southern Univ Sci & Technol, Dept Earth & Space Sci, Shenzhen 518055, Peoples R China
First Author AffilicationKey Laboratory of Petroleum Resource Research, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Liu, Wei,Cheng, Qian,Liu, Linong,et al. Accelerating High-Resolution Seismic Imaging by Using Deep Learning[J]. APPLIED SCIENCES-BASEL,2020,10(7):16.
APA Liu, Wei,Cheng, Qian,Liu, Linong,Wang, Yun,&Zhang, Jianfeng.(2020).Accelerating High-Resolution Seismic Imaging by Using Deep Learning.APPLIED SCIENCES-BASEL,10(7),16.
MLA Liu, Wei,et al."Accelerating High-Resolution Seismic Imaging by Using Deep Learning".APPLIED SCIENCES-BASEL 10.7(2020):16.
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