Pareto Optimization On Component Inspection Interval for Level Control in An Oil/ Gas Separation System

This paper deals with component inspection interval optimization of an oil/ gas separation system in offshore plants. In this study, mathematical modeling was developed for assessing the operational risk focusing on overflow scenario in oil/ gas separation system, and component inspection interval were optimized. A numerical pareto optimization technique based on an evolutionary algorism and a technique using a scaling factor to represent the weights of trade-off objectives are used in this study. Pareto optimal solutions were generated to represent the optimal inspection budget and scheduling of pump, control valve, and level transmitter in the system. The results of the optimization process yields an immediate choice of component inspection interval sets for whatever relative weighting is considered as the most appropriate one for the actual design problem by the final decision makers.