Abstract:
This project addresses the growing issue of collision avoidance in the oil and gas industry by automating the process of well path analysis. Using the Volve Field data and tNavigator software, the project aims to automate real-time risk assessments of well trajectories, reducing human error and improving decision-making. A Python-based program was developed to analyze survey data, providing early warnings of potential collisions to enhance safety and minimize delays. The project demonstrates how automation can improve collision avoidance, boosting safety, efficiency, and cost-effectiveness in drilling operations.