Автор бойынша School of Mining and Geosciences көру "a20c9b4c-36e0-4b07-90fa-a032fa7a933a"

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COMPARISON OF MACHINE LEARNING CLASSIFIERS FOR ACCURATE PREDICTION OF REAL-TIME STUCK PIPE INCIDENTS

Khan, Javed Akbar; Irfan, Muhammad; Irawan, Sonny; Yao, Fong Kam; Abdul Rahaman, Md Shokor; Shahari, Ahmad Radzi; Glowacz, Adam; Zeb, Nazia (MDPI, 2020-07-17)

Stuck pipe incidents are one of the contributors to non-productive time (NPT), where they can result in a higher well cost. This research investigates the feasibility of applying machine learning to predict events of stuck ...