The Subsea oil and gas industry is one of the highly exposed industries to risks, disasters, and fluctuations in production.
Counting and limiting system failures and risks are not the best way to mitigate risks in light of the rapid development of systems, their high degree of complexity, and the interactions between them.
Resilience engineering makes the system proactive against threats through the ability to anticipate and adapt to the threat. Thus, a higher preparation and planning to absorb shocks and a smaller decrease in performance and productivity.
This thesis aims to demonstrate a new concept of maintenance called Resilience-Based Maintenance (RBM). RBM depends on preparation and planning to absorb the shock of events, adapt to them, and recover to the required performance.
RBM can predict and learn from events by analyzing the system's data in failure and success cases and setting leading indicators with specific characteristics and more accurately in monitoring performance and anticipating events.
RBM can be considered an important addition for subsea systems due to the complexity of these systems, which exposed them to unknown, and unexpected threats and failures.
The thesis aims to present the new concept with an explanation of its benefits, limitations, the sources from which it derives the resilience property, and how to evaluate its effectiveness.
This thesis is based on a literature review that included subsea production systems, an overview of types of maintenance and maintenance strategies, maintenance of subsea systems, a look at resilience engineering, methods of measuring resilience, and a discussion of RBM for subsea systems.
Keywords: Subsea, Resilience, Safety, Risk, Reliability, Maintenance