DGYM Group had three conference papers accepted and presented at the esteemed 57th US Rock Mechanics Symposium and Conference, and it occurred in Georgia, USA, on June 25-28, 2023.

Our four presentations covered some exciting topics, including machine learning and deep learning applications in CCUS and hydraulic fracturing and fundamental research related to shale. For more details about our paper, please check:

1. Shales: From the Atomic Scale to the Rock-Mass Scale, with authors C. D. Rodriguez-Hernandez, M. Liu, E. Volkova, B. Yan, G. Turkiyyah, J. C. Santamarina. URL: https://doi.org/10.56952/ARMA-2023-0959
2. Machine Learning Modeling of Saudi Arabian basalt/CO₂/brine Wettability Prediction: Implications for  Geo-Storage, with authors Z. Tariq, M. Ali, B. Yan, S. Sun, H. Hoteit. URL: https://doi.org/10.56952/ARMA-2023-0755
3. Enhancing Breakdown Pressure Predictions in Ultra-Tight Formations Through Robust Machine Learning Techniques, with authors A. Mustafa, Z. Tariq, M. Gudala, B. Yan, S. Sun, M. Mahmoud. URL: https://doi.org/10.56952/ARMA-2023-0756
4. Predicting Trapping Indices in CO₂ Sequestration: A Data-Driven Machine Learning Approach for Coupled Chemo-Hydro-Mechanical Models in Deep Saline Aquifers, with authors Z. Tariq, B. Yan, S. Sun. URL: https://doi.org/10.56952/ARMA-2023-0757