R. Harishwaran

Machine-learning-based prediction of pipe-sticking events in petroleum drilling operations using domain-informed features and class-balanced ensembles

Pipe sticking is a critical drilling failure that can increase the non-productive time, operational risk, and well construction costs. Reliable and early identification of pipe-sticking conditions is therefore important for improving drilling decision support while reducing the likelihood of severe downhole incidents....