Abstract
Data mining is a new research topic in intelligent predictive maintenance by searching, counting, and processing a large amount of data to obtain valuable information. With the rapid development of the petroleum industry in recent years, automation and intelligent oil and gas equipment have been constantly updated and applied with a significant role in the daily production scheduling process control in the oil and gas fields. In this context, this work first discussed the basic concept of data mining technology and predictive maintenance, then presented the implementation route of data mining technology in predictive maintenance, and finally proposed the predictive maintenance scheme of deep hole drilling tools based on the two-mode algorithm. This study mainly discussed the basic problems and key technologies of data mining technology in the predictive maintenance of oil and gas equipment, aiming to provide new solutions to the equipment fault prediction.
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