Predicting Water Cut Dynamics Using Hybrid Model Combining Machine Learning and Proxy Flow Model

Using the synthetic model of an oil reservoir development element, an approach to combining a physically significant fluid-flow model with machine learning methods to predict oil production parameters is proposed.