A High-Resolution Velocity Inversion Method Based on Attention Convolutional Neural Network
文献类型:期刊论文
作者 | Li, Wenda1,3,4; Liu, Hong1,3,4; Wu, Tianqi2; Huo, Shoudong1,3,4 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
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出版日期 | 2023 |
卷号 | 61页码:14 |
关键词 | Attention deep learning (DL) full-waveform inversion (FWI) |
ISSN号 | 0196-2892 |
DOI | 10.1109/TGRS.2023.3311788 |
英文摘要 | Velocity model building is an indispensable part of seismic exploration, which can directly affect the accuracy of subsequent data processing. Traditional full-waveform inversion (FWI) is usually challenging to update the deep background velocity information. Moreover, deep learning (DL)-based velocity modeling efforts can face the problem of lacking generalization ability. Based on this, we propose an attention convolutional-neural-network-based velocity inversion (ACNN-VI) algorithm to update the deep layer background velocity and the reflection interface iteratively. First, we proposed a constantly iterative structure, which allows the initial model to keep iteratively close to the true model. Second, we proposed a convolutional neural network (CNN) based on an attention mechanism that can recover faults and layers efficiently. Furthermore, we propose a smooth strategy that enables the method in this article to be adapted to the case of an inferior initial model. Finally, our numerical tests prove that our method has good inversion results for different models. |
WOS关键词 | WAVE-FORM INVERSION ; FREQUENCY-DOMAIN ; COMPONENTS |
资助项目 | National Natural Science Foundation of China[U20B2014] ; National Natural Science Foundation of China[42174160] ; Key Research and Development Program of China[2022YFB3904601] |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
WOS记录号 | WOS:001080998400017 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
资助机构 | National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China ; Key Research and Development Program of China |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/110736] ![]() |
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 | Li, Wenda |
作者单位 | 1.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China 2.China Univ Geosci, Sch Geophys & Informat Technol, Beijing 100083, Peoples R China 3.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Petr Resources Res, Beijing 100029, Peoples R China 4.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Li, Wenda,Liu, Hong,Wu, Tianqi,et al. A High-Resolution Velocity Inversion Method Based on Attention Convolutional Neural Network[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2023,61:14. |
APA | Li, Wenda,Liu, Hong,Wu, Tianqi,&Huo, Shoudong.(2023).A High-Resolution Velocity Inversion Method Based on Attention Convolutional Neural Network.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,61,14. |
MLA | Li, Wenda,et al."A High-Resolution Velocity Inversion Method Based on Attention Convolutional Neural Network".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 61(2023):14. |
入库方式: OAI收割
来源:地质与地球物理研究所
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