中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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
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
DOI10.1109/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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