Automated lost circulation severity classification and mitigation system using explainable Bayesian optimized ensemble learning algorithms
Haytham Elmousalami,
Ibrahim Sakr
Abstract:Lost circulation and mud losses cause 10 to 20% of the cost of drilling operations under extreme pressure and temperature conditions. Therefore, this research introduces an integrated system for an automated lost circulation severity classification and mitigation system (ALCSCMS). This proposed system allows decision makers to reliability predict lost circulation severity (LCS) based on a few drilling drivers before starting drilling operations. The proposed system developed and compared a total of 11 ensemble… Show more
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