AI-Driven Production Optimisation and Reservoir Management I
Tuesday, 13 January
Technical Session Room 1
Technical Session
Session Chairpersons
-
1130-1150 25130AI Accelerated Forward Modeling Using Physics Informed Neural Operators for Real Time Reservoir Management
-
1150-1210 25136Accelerating Reservoir Simulation to Shorten the Field Development Lifecycle: Innovations in AI, Multiscale Physics, and Scalable Compute
-
1210-1230 25133A Novel Quick-win Dual-branch Neural OperatorProxy for Real-Time Waterflood Simulation in Heterogeneous Porous Carbonate Reservoirs
-
1230-1250 25120Advanced Machine Learning and Optimization Techniques for Real-time CO₂ Membrane Operations in the Gulf of Thailand
-
Alternate 25139Optimizing Reservoir Management: An Ai-driven Approach to Enhance Injection Rate Distribution and Vrr Forecasting
-
Alternate 25140Automated Calibration of Surface Pipeline Networks Using Iteratively Refined Machine Learning Models with Field Applications
-
Alternate 25127Deep-Learning-BasedAutoregressive Framework for Rapid Production Forecasting in MatureWaterflooding Fields

