AI-Accelerated Reservoir Numerical SimulationNew

Background

Reservoir simulation drives decisions from field development plans to CO2 storage monitoring. A single multiphase flow simulation on a fine grid can take hours; history matching and optimization need thousands of runs.

Approach

• PhysicsNeMo reservoir examples: train surrogates on ensembles of full-physics simulations over parameterized geological models
• Predictions: pressure and saturation fields, or well-level rates
• Surrogates feed history matching, production optimization and uncertainty quantification loops

Why it matters

• Turns overnight ensembles into interactive what-if studies
• Enables real-time monitoring workflows when coupled with data assimilation
• Same pattern extends to geothermal reservoirs and CO2 plume tracking

Use cases

• Development-plan screening under geological uncertainty
• Well placement and control optimization
• Carbon storage site monitoring and forecasting

Resources

• PhysicsNeMo examples/reservoir_simulation with runnable configurations
• NVIDIA developer blog posts on reservoir and subsurface surrogates