Using machine learning, researchers at Texas A&M University have developed an algorithm that automates the process of determining key features of simple hydrocarbon reservoirs. Simulating the geology of the underground environment using reinforcement Learning can greatly facilitate forecasting of oil and gas reserves, predicting groundwater systems and anticipating seismic hazards.