Wellbore risk levels prediction based on BO-CatBoost model and rough set theory
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DOI: 10.1088/1361-6501/adfc8e
Abstract: To address the issues of high computational complexity and insufficient prediction accuracy in traditional wellbore stability prediction methods, this paper employs an approach that integrates rough set theory (RST) with machine learning (ML). First, RST… read more here.
Keywords: risk levels; prediction; model; catboost model ... See more keywords