Machine learning classifier model to predict borehole stability in oil & gas well (D1-14:15)
Abstract: In the oil & gas industry, data produced in a well costs substantial expenditure and thus must be used effectively. In this case, the machine learning algorithm by Scikit-learn is used to generate a model to predict borehole stability using drilling data to improve safety rate when pulling out of the hole. About the speaker: Bertha Amelia