Presentations
Indiana Convention Center
75th Annual Meeting of the Division of Fluid Dynamics
In this study, we have developed a novel and robust physics-informed deep convolutional neural network called 'Finite PINN Net' for simulating multiphase, 3D, transient, and compressible Darcy flow in heterogeneous petroleum reservoirs.
Virtual
URTEC
Panel: Data Analytics and Physic Informed Model. The Latest and Greatest?
New Orleans, Louisiana
SPE Workshop
New Perspectives in Well Performance Analysis and Production Forecasting: Physics-Based Neural Network for Production Forecasting and Field Development Plan Optimization in Conventional and Unconventional Reservoirs