Integrated offshore power operation resilience assessment using Object Oriented Bayesian network

Harsh weather and deep waters create challenging environments for offshore drilling and production facilities, resulting in increased chances of failure. These necessitate improving the resilience of engineering systems. Having a robust power system is an essential element of an offshore facility. A power management system interacts with other engineering systems to maximize performance and limit potential failures. Ensuring a safe and continuous operation requires technological advancement, increased reliability of integrated operations, and improvement of power system resiliency. This paper identifies the main requirements for an improved resilience of an offshore power management scheme. Different potential failure scenarios are identified and analyzed to quantify the resilience of the system. The object-oriented Bayesian network format is adopted to model resilience as a function of anticipated reactions, system adaptability, absorptive capability and restoration. Sensitivity analysis is conducted to study the impact and interdependencies among different variables and strategies used to quantify resilience of an offshore power system, and also to improve the system performance during certain failures by adapting control measures.