field planning agent
A Hybrid AI Approach to Optimizing Oil Field Planning
What's the best way to arrange wells in an oil or gas field? It's a simple enough question, but the answer can be very complex. Now a Cal Tech/JPL spinoff is developing a new approach that blends traditional HPC simulation with deep reinforcement learning running on GPUs to optimize energy extraction. The well placement game is a familiar one to oil and gas companies. For years, they have been using simulators running atop HPC systems to model underground reservoirs.
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- Asia > Middle East > Israel > Mediterranean Sea (0.25)
- North America > United States > Texas (0.15)
- North America > United States > California (0.15)
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