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The Innovation Geoscience > 2024 Vol. 2 > No. 4 > 100093
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Deep learning for identifying earthquake precursors: Applications and challenges in subsurface fluid signals

  • 1.

    Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China

  • 2.

    National Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China

  • 3.

    College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing 100049, China

  • 4.

    Zhejiang Lab, Hangzhou 311100, China

  • 5.

    MOE Key Laboratory of Groundwater Circulation and Environmental Evolution, China University of Geosciences, Beijing 100083, China

  • 6.

    These authors contributed equally

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The Innovation Geoscience  2(4),  https://doi.org/10.59717/j.xinn-geo.2024.100093  |  Cite this article
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    • REFERENCES
  • [1] Wang, C.-Y. and Manga, M. (2021). Hydrologic precursors, in: Water and earthquakes, Lecture notes in earth system sciences. Springer, Cham, pp: 343–368. DOI:10.1007/978-3-030-64308-9_13.

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    [2] Bletery, Q. and Nocquet, J.-M. (2023). The precursory phase of large earthquakes. Science, 381: 297−301. DOI: 10.1126/science.adg2565.

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    [3] Yan, X., Shi, Z., Wang, G., et al. (2021). Detection of possible hydrological precursor anomalies using long short-term memory: A case study of the 1996 Lijiang earthquake. J Hydrol. 599: 126369. DOI: 10.1016/j.jhydrol.2021.126369.

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    [4] Bergen, K.J., Johnson, P.A., De Hoop, M.V., et al. (2019). Machine learning for data-driven discovery in solid Earth geoscience. Science 363: eaau0323. DOI: 10.1126/science.aau0323.

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    [5] Kuang, W., Yuan, C., and Zhang, J. (2021). Real-time determination of earthquake focal mechanism via deep learning. Nat. Commun. 12: 1432. DOI: 10.1038/s41467-021-21670-x.

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  • Cite this article:

    Chu B., Zhang Y., Fu L., et al., (2024). Deep learning for identifying earthquake precursors: Applications and challenges in subsurface fluid signals. The Innovation Geoscience 2(4): 100093. https://doi.org/10.59717/j.xinn-geo.2024.100093
    Chu B., Zhang Y., Fu L., et al., (2024). Deep learning for identifying earthquake precursors: Applications and challenges in subsurface fluid signals. The Innovation Geoscience 2(4): 100093. https://doi.org/10.59717/j.xinn-geo.2024.100093

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