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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 , , , we define the autonomy, communications, and artificial intelligence (AI) requirements of the component agents of such a system. We also discuss the software implementation of such agents. Furthermore, we describe a simple system prototype, and conduct a real time simulation experiment to analyze the prototype performance. Simulation results reveal that MATLAB can be used to build high performance real-time multi-agent systems, which can be used for many applications.