Использование методов машинного обучения для прогнозирования роста обводненности нефтяного месторождения

Карпушин В.О.

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Using machine learning methods to predict the watercut growth on an oil field

Abstract

Using machine learning methods to predict the watercut growth on an oil field

Karpushin V.O.

Incoming article date: 15.07.2025

The paper considers two machine learning methods for predicting the growth of watercut on an oil field with the calculation of basic convergence metrics.

Keywords: watercut, statistics, machine learning, time series, oil production