The tool can be validated with an existing well from the same field to demonstrate its capability as an ROP predictive model. Keywords: rate of penetration (ROP); predictive modeling; geothermal energy; machine learning; deep learning; random forests; artificial neural network; python programming...
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The training and use of AIEFPC are implemented through Python language program- ming, and the LR is implemented using the Logistic Regression class in scikit-learn 0.23.2 [33]. Setting the class weight parameter class_weight = {0:1,1:1} and the regularization parameter penalty = 'none' ...