... Abstract Drilling performance is greatly driven by the rate of penetration (ROP) and its optimization. Therefore, accurate prediction of ROP before drilling can help take measures to achieve drilling objectives smoothly. Numerous inter-twined formation and drilling parameters affect the ROP...

... published in many oil and gas disciplines over the last five years, revolutionizing the way engineers approach to their works, and sharing innovating solutions that contributes to an increase in efficiency. In this paper, Machine Learning models are built to predict inverse rate of penetration (ROPI...

... mathematical model-based techniques have been presented in recent years for improving the rate of penetration (ROP) in section-milling. However, only a few data-driven methodologies have been adopted in this field of interest, most likely due to unavailability of data. A trainingsubset of field data from...