A risk prediction method of pipe sticking accidents due to wellbore uncleanness for long horizontal section wells

Prediction of the Reaming Torque Using Artificial Neural Network and Random Forest Algorithm: Comparative Performance Analysis

“…Through iterative learning and adaptation, machine learning algorithms continually refine their models, pushing the boundaries of manufacturing efficiency to new heights. Whether it be optimizing production schedules, reducing waste, or enhancing product quality, machine learning plays a pivotal role in achieving the highest levels of efficiency and competitiveness [6][7][8].…”