Utilizing Torque and Drag Predictive Modeling for Safe and Efficient Drilling

This abstract discusses a case study on the use of predictive torque and drag modeling to prevent drilling hazards, ensuring safer and more efficient operations. The study focused on drilling a production well through a challenging formation with high pressures and problematic lithology. Torque and drag modeling emerged as a crucial tool for enhancing drilling performance and mitigating stuck pipe risks. By leveraging advanced computational techniques and real-time data, engineers could predict, monitor, and manage mechanical forces on the drill string. The study highlighted the importance of continuous monitoring of the friction coefficient, which should not exceed 0.4 to prevent stuck pipe incidents. At a depth of 1850 meters, the friction coefficient exceeded this threshold, resulting in a stuck pipe incident. Remedial actions involved circulating drilling fluids to stabilize the wellbore, allowing drilling to resume. The study underscored the effectiveness of torque and drag modeling in identifying and mitigating drilling risks, while acknowledging limitations related to input data accuracy and complex geological conditions. Overall, the case study demonstrated the importance of proactive management of friction coefficients to ensure safe and efficient drilling, particularly in challenging formations.