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Physic-guided multi-azimuth multi-type seismic attributes fusion for multiscale fault characterization

Lei Song Xing-Yao Yin Ying Shi Kun Lang Hao Zhou Wei Xiang

石油科学（英文版）2025，Vol.22Issue(11)：4492-4503,12.

石油科学（英文版）2025，Vol.22Issue(11)：4492-4503,12.DOI:10.1016/j.petsci.2025.06.022

Physic-guided multi-azimuth multi-type seismic attributes fusion for multiscale fault characterization

Lei Song ¹Xing-Yao Yin ²Ying Shi ³Kun Lang ⁴Hao Zhou ²Wei Xiang³

作者信息

1. School of Earth Science,Northeast Petroleum University,Daqing,163318,Heilongjiang,China
2. State Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China),Qingdao,266580,Shandong,China
3. School of Geosciences,China University of Petroleum(East China),Qingdao,266580,Shandong,China
4. Laoshan Laboratory,Qingdao,266580,Shandong,China
折叠

摘要

关键词

Fault characterization/Multi-azimuth seismic coherence/Multi-azimuth seismic curvature/Data fusion/Deep learning/Physic-guided neural network

Key words

Fault characterization/Multi-azimuth seismic coherence/Multi-azimuth seismic curvature/Data fusion/Deep learning/Physic-guided neural network

引用本文复制引用

Lei Song,Xing-Yao Yin,Ying Shi,Kun Lang,Hao Zhou,Wei Xiang..Physic-guided multi-azimuth multi-type seismic attributes fusion for multiscale fault characterization[J].石油科学（英文版）,2025,22(11):4492-4503,12.

基金项目

We would like to acknowledge the sponsorship of the National Natural Science Foundation of China(42430809,42030103)and the Basic Research Funds for Northeast Petroleum University in Heilongjiang Province(2025GPL-01). （42430809,42030103）

石油科学（英文版）

ISSN：1672-5107

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