An offshore safety system optimization using an SPEA2-based approach

Abstract

A safety system is an essential part of any industrial system as it operates to prevent the occurrence of certain conditions and their future development into a hazardous situation. Failure of such systems may have catastrophic consequences, from small injuries to even death of members of the workforce and public. Therefore, it is imperative to minimize safety system unavailability and also find the balance between its unavailability and other limitations on its operation, e.g. life cycle cost and spurious trip frequency. Hence, a multiobjective optimization of the system design is required. This paper describes a design optimization scheme using multiobjective genetic algorithms (MOGAs) applied to a firewater deluge system (FDS) on an offshore platform, which works to supply water and foam on demand at a controlled pressure to a specific area on the platform, protected by the deluge system.