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• W4304688802 abstract "In the past several decades, machine learning has gained increasing interest in the oil and gas industry. This paper presents a comprehensive review of machine learning studies for drilling applications in the following categories: (1) drilling fluids; (2) drilling hydraulics; (3) drilling dynamics; (4) drilling problems; and (5) miscellaneous drilling applications. In each study, the machine learning algorithm(s), sample size, inputs and output(s), and performance are extracted. In addition, similarities of studies in each category are summarized and recommendations are made for future development." @default.
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• W4304688802 date "2022-12-01" @default.
• W4304688802 modified "2023-10-17" @default.
• W4304688802 title "Machine learning for drilling applications: A review" @default.
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• W4304688802 doi "https://doi.org/10.1016/j.jngse.2022.104807" @default.
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