Abstract

Torque and drag analysis is critical for ensuring the safety and efficiency of drilling operations, particularly in complex well trajectories where mechanical challenges are amplified. This paper presents a comprehensive predictive model integrated within the WellPlan simulation platform, designed to simulate torque accurately and drag forces encountered during directional drilling. The model architecture incorporates detailed well geometry, drilling parameters, and mechanical properties, enabling precise calculation of frictional forces and mechanical loads along the drill string. Advanced computational algorithms provide segmented, iterative force analysis that reflects real-world conditions, aiding engineers in identifying high-risk zones and optimizing operational parameters. Practical implementation strategies emphasize data integration, workflow alignment, and considerations for model reliability amidst inherent uncertainties. The predictive approach facilitates enhanced risk mitigation, operational efficiency, and cost savings. Future research directions propose incorporation of real-time data and machine learning techniques to refine model accuracy and responsiveness further, positioning this tool as a vital asset in intelligent drilling management.