Machine Learning Analysis Using the Black Oil Model and Parallel Algorithms in Oil Recovery Forecasting
Bazargul Matkerim,
Aksultan Mukhanbet,
Nurislam Kassymbek
et al.
Abstract:The accurate forecasting of oil recovery factors is crucial for the effective management and optimization of oil production processes. This study explores the application of machine learning methods, specifically focusing on parallel algorithms, to enhance traditional reservoir simulation frameworks using black oil models. This research involves four main steps: collecting a synthetic dataset, preprocessing it, modeling and predicting the oil recovery factors with various machine learning techniques, and evalu… Show more
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