This paper presents the work of predicting oil production using machine learning methods. As a method, multiple linear regression algorithm with polynomial properties was implemented. Regression algorithms are suitable and workable methods for based on data-driven approach. The synthetic dataset obtained Buckley-Leverett mathematical model, which is used to calculate hydrodynamics determine sat...