A Multi-agent System for Integrated Control and Asset Management of Petroleum Production Facilities - Part 2: Prototype Design Verification

Abstract

This three-part paper thoroughly addresses the design and development of 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 defined its autonomy, communications, and artificial intelligence (AI) requirements, and initiated the preliminary design of a simple system prototype, we are extending the build of a system prototype and simulate it in real-time to validate its logical behavior in normal and abnormal process situations and analyze its performance. The second-part paper addresses the ICAM system prototype design verification and its logical behavior during sensor faults in the plant.