ABSTRACT
Directional drilling has become a fundamental oil and gas industry technique, allowing for efficient well placement and enhanced reservoir recovery. This project investigates the factors influencing the angle of inclination in directional drilling, focusing on key operational and geological parameters that impact well trajectory control. The study employs analytical modeling, numerical simulations, and field data analysis to assess the effects of weight on bit (WOB), rotary speed (RPM), build rate, bottom hole assembly (BHA) configuration, and formation characteristics on the wellbore inclination. Results indicate that increasing build rate (>3°/100 ft) leads to higher dog-leg severity, potentially causing wellbore instability. Additionally, WOB variations significantly affect inclination, with an optimal range of 30,000–35,000 lbf identified for maintaining controlled well trajectories. RPM adjustments were found to influence inclination in soft formations, while BHA configuration, particularly stabilizer placement, played a critical role in trajectory accuracy. Findings suggest that real-time data integration and adaptive drilling strategies are essential for effective inclination control. The study highlights the importance of optimized BHA design, precise parameter control, and geomechanical characterization in achieving drilling efficiency. The results align with established theoretical models such as Lubinski’s trajectory control equations and contribute to improving directional drilling practices. This research provides valuable insights for oil and gas operators, drilling engineers, and geoscientists in optimizing well trajectory planning, reducing drilling costs, and enhancing hydrocarbon recovery. Future work should focus on integrating machine learning algorithms to improve real-time trajectory adjustments.
