Deep Learning for Picking Seismic Arrival Times-Reference-Cited by-同舟云学术

Deep Learning for Picking Seismic Arrival Times

Published:2019-07 Issue:7 Volume:124 Page:6612-6624
ISSN:2169-9313
Container-title:Journal of Geophysical Research: Solid Earth
language:en
Short-container-title:J. Geophys. Res. Solid Earth

Author:

Wang Jian¹²³^ORCID,Xiao Zhuowei¹⁴,Liu Chang⁴,Zhao Dapeng⁵^ORCID,Yao Zhenxing¹²

Affiliation:

1. Key Laboratory of Earth and Planetary Physics, Institute of Geology and GeophysicsChinese Academy of Sciences Beijing China

2. Institutions of Earth ScienceChinese Academy of Sciences Beijing China

3. Laboratory for Marine Mineral ResourcesQingdao National Laboratory of Marine Science and Technology Qingdao China

4. University of Chinese Academy of Sciences Beijing China

5. Department of Geophysics, Graduate School of ScienceTohoku University Sendai Japan

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

American Geophysical Union (AGU)

Subject

Space and Planetary Science,Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geophysics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019JB017536

Reference46 articles.

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2. Solving ill-posed inverse problems using iterative deep neural networks

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4. A review and appraisal of arrival-time picking methods for downhole microseismic data

5. Automatic earthquake recognition and timing from single traces;Allen R. V.;Bulletin of the Seismological Society of America,1978

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