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Some examples of practical applications of AI/ML as shown below.
A relevant online talk can be found here: https://www.youtube.com/watch?v=7ZGXqH35_KY
Theoretical Comparison : Numerical Modeling vs Machine Learning
Paper:
Hu, Mengsu, Jonny Rutqvist, and Carl I. Steefel. "Mesh generation and optimization from digital rock fractures based on neural style transfer." Journal of Rock Mechanics and Geotechnical Engineering 13, no. 4 (2021): 912-919.
Forecasting Microearthquakes from Hydraulic Stimulation at EGS Collab
Paper:
Chung, Jaehong, Michael Manga, Timothy Kneafsey, Tapan Mukerji, and Mengsu Hu*. "Deep learning forecasts the spatiotemporal evolution of fluid-induced microearthquakes." Communications Earth & Environment 6, no. 1 (2025): 643. (First author was a PhD intern student working with Mengsu Hu)
Machine Learning of Injection-Induced Single Fault Slip at Mont Terri
Paper:
Mital, Utkarsh, Mengsu Hu, Yves Guglielmi, James Brown, and Jonny Rutqvist. "Modeling injection-induced fault slip using long short-term memory networks." Journal of Rock Mechanics and Geotechnical Engineering 16, no. 11 (2024): 4354-4368.
Basin-Scale Machine Learning Prediction for Injection-Induced Seismic Events
Conference paper:
Palakshappa, Fnu Shamila Bolikoppa, Hideo Aochi, Zahra Derakhshandeh, Jonny Rutqvist, and Mengsu Hu*. "Basin-Scale Machine Learning Prediction for Injection-Induced Seismicity in Oklahoma." In 3rd International Conference on Coupled Processes in Fractured Geological Media: Observation, Modeling, and Application. 2022. (First author was a Master intern student working with Mengsu Hu)
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