An Intelligent Multi Agent System for Integrated Control & Asset Management of Petroleum Production Facilities

Intelligent control and asset management for the petroleum industry is crucial for profitable oil and gas facilities operation and maintenance. A research program was initiated to study the feasibility of an intelligent asset management system for the offshore oil and gas industry in Atlantic Canada. The research program has achieved several milestones. The conceptual model of an automated asset management system, its architecture, and its behavioral model have been defined [1, 2]. Furthermore, an implementation plan for such system has been prepared, and the appropriate development tools have been chosen [3]. A system reactive agent structure was defined based on the MATLAB environment, and its communication requirements were analyzed and validated [31]. This paper builds on the previous work and proposes a general structure of the ICAM system intelligent supervisory agent and its software implementation. We also describe the software implementation using the G2 expert system development environment. Furthermore, we analyze and define the autonomy requirements of the reactive agents of such system.