AI Reservoir Simulation Acceleration
Uses surrogate models and AI-assisted history matching to speed reservoir simulation and improve production scenario evaluation.
The Problem
“Reservoir simulation cycles too slow for decisions”
Organizations face these key challenges:
Long runtimes and HPC queue delays limit the number of development scenarios and uncertainty cases that can be evaluated
Manual tuning of grids, time steps, and solver parameters creates bottlenecks and inconsistent results across assets and teams
History matching and optimization are constrained to small ensembles, increasing risk of overfitting and poor decisions under uncertainty
Impact When Solved
The Shift
Real-World Use Cases
Artificial Intelligence for Energy Systems
Think of this as a playbook of AI tricks for running power systems—generation, grids, and consumption—more like a smart thermostat and less like a manual on/off switch. It applies machine learning to decide how much power to produce, when to store it, and how to route it so the overall system is cheaper, cleaner, and more reliable.
AI for Optimizing Power Plant Operations
AI helps power plants run better and save money.