A resilience-driven emergency maintenance operation scheme optimization method based on risk

System failure caused by unexpected disruptions is unavoidable and can lead to catastrophic consequences. To complete the emergency maintenance operation safely and efficiently, a well-formulated emergency maintenance scheme is crucial. A resilience-driven optimization methodology for the emergency maintenance operation scheme with considering maintenance operational risk is proposed. The maintenance operational risk is assessed by combining Job Safety Analysis, Bayesian networks and the matter element theory. A graphical evaluation and review technique (GERT) model is established based on the informed maintenance operational risk to evaluate the emergency maintenance scheme. According to derived results of the GERT model, the expected time and the expected risk are preliminarily optimized. A re-optimization model focusing on the system resilience is established to optimize the suitable maintenance operation time for each equipment and the reasonable equipment maintenance sequence for the system. The emergency maintenance scheme optimization for the subsea production system is utilized to demonstrate the proposed method.