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Seismology with Dark Data: Image‐Based Processing of Analog Records Using Machine Learning for the Rangely Earthquake Control Experiment

  • Published:2018-12-12 Issue:2A Volume:90 Page:553-562
  • ISSN:0895-0695
  • Container-title:Seismological Research Letters
  • language:en
  • Short-container-title:

Author:

Wang Kaiwen1,Ellsworth William L.1,Beroza Gregory C.1,Williams Gordon2,Zhang Miao1,Schroeder Dustin1,Rubinstein Justin3

Affiliation:

1. Department of Geophysics, Stanford University, 397 Panama Mall, Stanford, California 94305 U.S.A., kaiwenw@stanford.edu

2. Department of Earth Sciences, University of California Santa Barbara, Lagoon Road, Santa Barbara, California 93106 U.S.A.

3. U.S. Geological Survey, 345 Middlefield Road, Menlo Park, California 94025 U.S.A.

Publisher

Seismological Society of America (SSA)

Subject

Geophysics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Approach to Automatically Digitize Analog Seismograms;Seismological Research Letters;2024-08-30

2. Recent advances in earthquake seismology using machine learning;Earth, Planets and Space;2024-02-28

3. Machine Learning in Earthquake Seismology;Annual Review of Earth and Planetary Sciences;2022-11-21

4. DigitSeis: software to extract time series from analogue seismograms;Progress in Earth and Planetary Science;2022-10-01

5. The beginning of the beginning–-Foundations of injection-induced seismicity;Mountain Geologist;2022-08-15
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