Predicting Gas Separation Efficiency of a Downhole Separator Using Machine Learning
Ashutosh Sharma,
Laura Camila Osorio Ojeda,
Na Yuan
et al.
Abstract:Artificial lift systems, such as electrical submersible pumps and sucker rod pumps, frequently encounter operational challenges due to high gas–oil ratios, leading to premature tool failure and increased downtime. Effective upstream gas separation is critical to maintain continuous operation. This study aims to predict the efficiency of downhole gas separator using machine learning models trained on data from a centrifugal separator and tested on data from a gravity separator (blind test). A comprehensive expe… Show more
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