| dc.description.abstract | In recent years, advancements in drilling technology have led to increasingly complex wellbore trajectories, particularly in the case of horizontal wells and extended reach wells (ERWs). This complexity necessitates highly accurate models for predicting forces exerted on downhole equipment during drilling operations, especially given the amplified gravitational and frictional forces encountered. This thesis presents an advanced torque and drag model, capable of forecasting the drag forces experienced by casing during tripping operations. Despite notable technological advancements, the core mathematical principles underpinning most torque and drag models have largely remained unaltered since their inception. Building upon these foundational principles, the code developed in this project provides improved predictive accuracy which is critical during the planning and design stages of well construction. The developed code applies the classic torque and drag model to quantify the drag on casing during running operations, using well paths from the Ullrigg drilling and well site. The model is intended for use in the early stages of well planning, where it assists in assessing casing choices and the potential necessity for specific techniques, such as flotation or rotation. By providing the ability to predict potential complications—like pipe sticking, buckling, or failure due to excessive downhole forces—the model can guide preventive measures that enhance the efficiency, safety, and cost-effectiveness of casing operations. Hence, this model offers a valuable tool for minimizing equipment damage and optimizing modern well construction practices | |
