[S-CG55] Driving Solid Earth Science through Machine Learning

Sun. May 21, 2023 10:45 AM - 12:15 PM 302 (International Conference Hall, Makuhari Messe)

convener:Hisahiko Kubo(National Research Institute for Earth Science and Disaster Resilience), Yuki Kodera(Meteorological Research Institute, Japan Meteorological Agency), Makoto Naoi(Kyoto University), Keisuke Yano(The Institute of Statistical Mathematics), Chairperson:Yuta Amezawa(National Institute of Advanced Industrial Science and Technology), Kazuya Ishitsuka(Kyoto University)

Machine learning (ML) has brought innovations and remarkable results in various science fields including solid earth science. This session provides an opportunity to inspire each other for future developments by bringing studies of ML applications in various fields including solid earth science. We invite a wide range of presentations on ML and related research, from the budding to the more advanced.

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10:45 AM - 11:00 AM

[SCG55-01] Efficient Velocity Model Building of Multi-channel Seismic Reflection Data Using Deep Learning

*YU FAN¹, Ehsan Jamali Hondori², Jin-Oh Park¹ (1.Atmosphere and Ocean Research Institute, The University of Tokyo, 2.Geoscience Enterprise Inc.)

11:00 AM - 11:15 AM

[SCG55-02] Examining the effectiveness of a physics-informed neural network for the inverse modeling of hydrothermal systems

*Kazuya Ishitsuka¹ (1.Kyoto University)

11:15 AM - 11:30 AM

[SCG55-03] MACHINE LEARNING MULTIVARIATE ANALYSIS FOR INJECTION-INDUCED SEISMICITY RISK EVALUATION

*Yusuke Kamada¹, Yusuke Mukuhira², Yusuke Kumano³, Kyosuke Okamoto⁴, Takuya Ishibashi⁴, Hiroshi Asanuma⁴ (1.Tohoku University, 2.Institute of Fluid Science, Tohoku University, 3.JAPEX Co., Ltd, 4.Fukushima Renewable Energy Institute, AIST)

11:30 AM - 11:45 AM

[SCG55-04] Development in CNN-based automatic detection of traveltime in acoustic signal obtained by GNSS-acoustic survey

*Naoki Kurosu¹, Motoyuki Kido² (1.Graduate School of Science, Tohoku University, 2.International Research Institute for Disaster Science, Tohoku University)

11:45 AM - 12:00 PM

[SCG55-05] Efficient similar event searching using a deep hashing technique

*Makoto Naoi¹, Shiro Hirano² (1.Kyoto University, 2.Ritsumeikan University)

12:00 PM - 12:15 PM

[SCG55-06] Comprehensive detection of S wave later phase with deep learning: Application for a seismic swarm around the Moriyoshi volcano

*Yuta Amezawa¹, Takahiko Uchide¹, Takahiro Shiina¹, Jun Ogata², Satoru Fukayama², Hiroki Kuroda³ (1.Geological Survey of Japan, National Institute of Advanced Industrial Science and Technology (AIST) , 2.Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), 3.Department of Information and Management Systems Engineering, Nagaoka University of Technology)

Session information