2022 DGYM Peer-Reviewed Journals

17 May, 2022

Congrats on Prof. Yan from DGYM for this recently led publication, Improving deep learning performance for predicting large-scale geological CO2 sequestration modeling through feature coarsening, published on Scientific Reports. (2022/11). https://doi.org/10.1038/s41598-022-24774-6 

Congrats on Dr. Tariq from DGYM for his recently led publication, Machine Learning-Based Accelerated Approaches to Infer Breakdown Pressure of Several Unconventional Rock Types , published on ACS Omega. (2022/11). https://doi.org/10.1021/acsomega.2c05066 

Congrats on Dr. Gudala from DGYM for his recently led publication, Comparison of Supercritical CO2 with Water as Geofluid in Geothermal Reservoirs with Numerical Investigation using Fully Coupled Thermo-Hydro-Geomechanical Model, published on Journal of Energy Resources Technology. (2022/9). https://doi.org/10.1115/1.4055538 

Congrats on Prof. Yan from DGYM for this recently led publication, A Gradient-based Deep Neural Network (GDNN) Model for Simulating Multiphase Flow in Porous Media, published on Computational Physics. (2022/8). https://doi.org/10.1016/j.jcp.2022.111277

Congrats on Dr. Gudala from DGYM for this recently led publication, Numerical investigations of the PUGA geothermal reservoir with multistage hydraulic fractures and well patterns using fully coupled thermo-hydro-geomechanical modeling, published on Energy. (2022/8). https://doi.org/10.1016/j.energy.2022.124173

Congrats on Prof. Yan from DGYM for this recently led publication, A robust deep learning workflow to predict multiphase flow behavior during geological CO2 sequestration injection and Post-Injection periods, published on Journal of Hydrology(2022/4). https://doi.org/10.1016/j.jhydrol.2022.127542