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Unlocking Efficiency in Gas Lift System Operation: A Data Driven Approach for Early Problem Identification Using Machine Learning and Digitalized Two-Pen Recorder Chart

Year: 2024 Authors: Mustaqim, S., D., Yasutra, A. Reference: IPA24-E-314
Keywords: Random Forest, accuracy, continuous gas lift, gas lift wells, machine learning,
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Proceedings Title : Proc. Indon. Petrol. Assoc., 48th Ann. Conv., 2024

Conventional monitoring and identification of problems in continuous gas lift wells are time-consuming, involving data collection and analysis activit...

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