Deep Learning Velocity Model Building from MCS Data in Structurally Complex Geological Settings

FAN YU

Presentation information

[E] Oral

S (Solid Earth Sciences ) » S-IT Science of the Earth's Interior & Tectonophysics

[S-IT20] Coupling of deep Earth and surface processes

Mon. May 25, 2026 10:45 AM - 12:15 PM 101 (International Conference Hall, Makuhari Messe)

Chairperson:Kim YoungHee(Seoul National University), Park Jin-Oh(Department of Ocean Floor Geoscience, Atmosphere and Ocean Research Institute, The University of Tokyo), Isse Takehi(Earthquake Research Institute University of Tokyo), Lee Hyunwoo(Seoul National University), Chang Jih-Hsin(Institute of Oceanography, National Taiwan University)

11:45 AM - 12:00 PM

[SIT20-11] Deep Learning Velocity Model Building from MCS Data in Structurally Complex Geological Settings

*FAN YU¹, Ehsan Jamali Hondori², Hamzeh Mohammadigheymasi¹, YIGE YANG¹, Jin-Oh Park¹ (1. Atmosphere and Ocean Research Institute, The University of Tokyo, 2. Geoscience Enterprise Inc.)

Keywords:Multi-channel seismic, Machine learning, Convolutional neural network, Velocity model building

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