Sistema inteligente de suporte operacional em sistemas de tratamento primário de petróleo

Abstract

The oil industry is one of the largest industrial enterprises in the world. The competitiveness of the market and strict environmental laws has motivated these companies to invest heavily in a high level of automation in their processes. As these investments will certainly continue, oil companies and industry in general, are focusing their investments to lead failures and abnormal situations. The goal of this work is to propose the implementation of an intelligent system to assist the operation of an oil primary treatment process. The development of the system is driven in the design of a fault diagnostic scheme based on the Discrete Event Systems Theory. The simulation results with the process operating with stable feed flow and slugging flow, show a good performance of the proposed system to detect and isolate faults in control valves, providing an alternative for future implementations in real systems.