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This paper addresses a practical intelligent multi- agent system for asset management for the petroleum industry, which is crucial for profitable oil and gas facilities operations and maintenance. A research project was initiated to study the feasibility of an intelligent asset management system. Having proposed a conceptual model, architecture, and implementation plan for such a system in previous work and defined its autonomy, communications, and artificial intelligence (AI) requirements, we are proceeding to build a system prototype and simulate it in real time to validate its logical behavior in normal and abnormal process situations. We also conducted a thorough system performance analysis to detect any computational bottlenecks. Although the preliminary system prototype design has limitations, simulation results have demonstrated an effective system logical behavior and performance.
American Control Conference, 2008
Date of Conference: 11-13 June 2008