MULTI-OBJECTIVE OPTIMIZATION FOR DECISION-MAKING ON CORROSION REDUCTION INTERVENTIONS IN AN OIL REFINERY

This paper proposes an industrial application of multiobjective modeling and optimization as a tool to support decision-making between trade-offs, corrosion rate, and corrosion mitigation costs. The methodology is based on a quantitative approach, based on a case study in a Brazilian refinery, aiming to guide intervention decisions such as internal painting, metallurgical replacement and use of corrosion inhibitors, focusing on asset reliability and operational risk reduction. The results clearly show  the trade-off inherent to the problem, in which more expressive reductions in the corrosion rate tend to imply higher costs, while lower cost solutions have lower technical performance. In this context, the choice of the most appropriate solution depends on the level of priority assigned to each objective by the decision-makers.  Finally, the proposed approach contributes to more robust decisions, promoting economic efficiency and operational reliability.