Real-Time Models for Drilling Process Automation: Equations and Applications

Abstract

Abstract How good are your models? Can they be used to improve your drilling processes? These are questions often posed in relation to real-time model applications, including models integrated with drilling control. Do the models fulfill requirements with regards to accuracy and calculation speed? Can the data be applied by the models to both interpret the state of the process and provide reliable input for calculations? Can the rig equipment be used safely and securely to control the processes? This paper seeks to answer these questions and further elaborate on current activities and near-term challenges in drilling automation. While static models are generally accepted, the use of dynamic models is emerging. In real-time model applications, it has been found that rig equipment analysis is necessary to assess applicability or upgrading requirements. Controlling machines for drilling operations using outputs from models has been successfully achieved. This paper provides examples of recent developments within drilling automation, drawing from applications of closed-loop control systems in the North Sea. Challenges regarding interpreting state-of-the-process are discussed, with respect to existing rig instrumentation, while examining the need for enhanced surface and downhole sensors. Mathematical models used with the drilling control system must communicate regularly with the drilling process to extract information from sensors and provide updated control commands for automation. How sensor data is applied through models to enable automation functionality is also illustrated.