Machine Learning Approaches for the Oil Well Reserves Evaluation Problem

This paper studies the application of machine learning methods to allocate oil resources in the strata. To solve the problem, different algorithms of machine learning were analyzed and trained on borehole logging measurements: K-nearest neighbors, Random forest and Gradient boosting.