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首页|期刊导航|Earthquake Science|Integrating surface and borehole sensing for accurate microseismic localization:A velocity-model-free deep learning approach

Integrating surface and borehole sensing for accurate microseismic localization:A velocity-model-free deep learning approach

Rui Xu Kai Zhan Jiajun Chen Zhe Li

Earthquake Science2026,Vol.39Issue(4):P.402-423,22.
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Earthquake Science2026,Vol.39Issue(4):P.402-423,22.DOI:10.1016/j.eqs.2026.05.003

Integrating surface and borehole sensing for accurate microseismic localization:A velocity-model-free deep learning approach

Rui Xu 1Kai Zhan 1Jiajun Chen 1Zhe Li1

作者信息

  • 1. Shandong Keyue Technology Company Limited,Jinan 250014,China
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摘要

关键词

microseismic localization/convolutional neural networks(CNNs)/graph convolutional networks(GCNs)/long short-term memory(LSTM)/distributed acoustic sensing

分类

天文与地球科学

引用本文复制引用

Rui Xu,Kai Zhan,Jiajun Chen,Zhe Li..Integrating surface and borehole sensing for accurate microseismic localization:A velocity-model-free deep learning approach[J].Earthquake Science,2026,39(4):P.402-423,22.

基金项目

supported by the National Natural Science Foundation of China(No.51874133). (No.51874133)

Earthquake Science

1674-4519

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