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Automating the oilfield asset-artificial-intelligence-based integrated-production-management architecture

Abstract:

Integrated asset management is highly complex and requires the combined effort of several disciplines and technological tools. Orchestration of disciplines, workflow tools, and available data are important issues. Resource negotiation, communication language, and decision-making protocols are minor issues that exacerbate the problem, resulting in poor and delayed decision making. This study approached these challenges through implementation of distributed-artificial-intelligencebased architecture designed for automated production management. Copyright © 2011 Society of Petroleum Engineers.