Downhole condition identification for geological drilling processes based on qualitative trend analysis and expert rules

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Abstract

In geological drilling processes, downhole incidents usually pose a serious threat to drilling safety. In order to improve the performance of drilling safety monitoring, a systematic downhole condition identification method is proposed based on the Qualitative Trend Analysis (QTA) and expert rules. Qualitative trends directly related to downhole conditions are extracted by QTA. Then, the existing expert rules to identify downhole conditions are summarized to create a knowledge base. The qualitative trends extracted from historical drilling data serve as new rules to extend the knowledge base. For online application, with new data collected, the qualitative trends are calculated, and then the downhole condition can be identified by querying the knowledge base. The effectiveness and practicality of the proposed method are demonstrated by case studies involving real drilling processes.

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Li, Y., Cao, W., Hu, W., & Wu, M. (2020). Downhole condition identification for geological drilling processes based on qualitative trend analysis and expert rules. In Communications in Computer and Information Science (Vol. 1265 CCIS, pp. 72–82). Springer. https://doi.org/10.1007/978-981-15-7670-6_7

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