Data-Driven Mechanical ROP Prediction: Construction and Validation of Committee Machine Model
Tao Cai, Huaiyan Qi, Xuewu Yang, Haifeng Hou et autres
Abstract With the continuous development of drilling technology, accurately predicting mechanical penetration rates is particularly important for improving operational efficiency and reducing costs. Existing methods often struggle to provide reliable predictions when faced with complex geological conditions and variable drilling environments because …
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