... (database), scikit-learn (classification models). Hoeink , T. , & Zambrano , C. ( 2017 , August 28 ). Shale Discrimination with Machine Learning Methods . American Rock Mechanics Association . ARMA-2017-0769 Shi , X. , Chen , H. , Li , R. , Yang , X. , Liu , H...

... machine learning Upstream Oil & Gas lesson learnt neural network classification model time step stick-slip prediction deep learning model downhole tool random forest algorithm cnn-lstm model deep learning accuracy prediction torsional vibration gradient society of petroleum engineers...

... models are valid options in this case. Regression models expect a continuous target value type to be trained on; predicted values are continuous and numerical for the target variable. In contrast, classification models are trained on discrete values where each value represent a class of choice...

... establish a power card classification model with the AlexNet method. Then we train it with the ideal benchmarking power cards to develop its function of pump troubleshooting and increase the classification accuracy. This model gains robustness and universality from manually presetting parameters...