Efficient and data-driven prediction of water breakthrough in subsurface systems using deep long short-term memory machine learning

A deep long short-term memory (LSTM) model is developed to predict the water cut and water breakthrough time for multiple production wells in a water flooding case and it is found that the proposed model can capture the general trend of variation for theWater cut time sequence data for a complex subsurface system.