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首页|期刊导航|地球与行星物理(英文)|Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China

Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China

PengCheng Zhou William L. Ellsworth HongFeng Yang Yen Joe Tan Gregory C. Beroza MinHan Sheng RiSheng Chu

地球与行星物理(英文)2021,Vol.5Issue(6):501-519,19.
地球与行星物理(英文)2021,Vol.5Issue(6):501-519,19.DOI:10.26464/epp2021053

Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China

Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China

PengCheng Zhou 1William L. Ellsworth 2HongFeng Yang 3Yen Joe Tan 3Gregory C. Beroza 2MinHan Sheng 2RiSheng Chu3

作者信息

  • 1. Key Laboratory of Ocean and Marginal Sea Geology,South China Sea Institute of Oceanology,Innovation Academy of South China Sea Ecology andEnvironmental Engineering,Chinese Academy of Sciences,Guangzhou 510301,China
  • 2. Earth System Science Programme,Faculty of Science,The Chinese University of Hong Kong,Sha Tin,Hong Kong 999077,China
  • 3. Department of Geophysics,Stanford University,Stanford,CA 94305,USA
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摘要

关键词

induced seismicity/machine learning/Weiyuan Shale Gas Block

Key words

induced seismicity/machine learning/Weiyuan Shale Gas Block

引用本文复制引用

PengCheng Zhou,William L. Ellsworth,HongFeng Yang,Yen Joe Tan,Gregory C. Beroza,MinHan Sheng,RiSheng Chu..Machine-learning-facilitated earthquake and anthropogenic source detections near the Weiyuan Shale Gas Blocks, Sichuan, China[J].地球与行星物理(英文),2021,5(6):501-519,19.

基金项目

The authors are grateful to Editor Xiaowei Chen,reviewer Jake Walter,and another anonymous reviewer for their helpful comments,which greatly contributed to improving the article.This study was supported by the Hong Kong Research Grants Council(No.14303721 and N_CUHK430/16),Faculty of Science,CUHK,National Natural Science Foundation of China(Grants No.41804015,41661164035),and National Key R&D Program of China(2018YFC1504501-02).This work was supported also by the Stanford Center for Induced and Triggered Seismicity.PhaseNet is available at https://github.com/wayneweiqiang/PhaseNet.REAL and VELEST packages can be accessed via https://github.com/Dalmzhang/REAL.The team lead by Risheng Chu(chur@whigg.ac.cn)collected and maintained the whole dataset(Zeng Q et al.,2020).The catalogs are available upon request. (No.14303721 and N_CUHK430/16)

地球与行星物理(英文)

OACSCDEI

2096-3955

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