A MULTI-AGENT SYSTEM FOR THE MANAGEMENT OF ABNORMAL SITUATIONS IN AN ARTIFICIALLY GAS-LIFTED WELL

Authors:
Jose Aguilar;Frank Prato;Cesar Bravo;Francklin Rivas
Affiliations:
Facultad de Ingenieria, CEMISID, Universidad de los Andes, Merida, Venezuela;PDVSA, West Division, Maracaibo, Venezuela CEMISID (Center of Microelectronics and Distributed Systems),;PDVSA, West Division, Maracaibo, Venezuela CEMISID (Center of Microelectronics and Distributed Systems),;Facultad de Ingenieria, CEMISID, Universidad de los Andes, Merida, Venezuela
Venue:
Applied Artificial Intelligence
Year:
2009

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Abstract

Concerning industrial automation, the management of abnormal situations becomes more important everyday. The ability to detect, isolate, and handle abnormal situations in industrial installations, could save huge amounts of money which is normally invested in reparations and/or wasted because of unjustified stoppage of processing plants. In this work, a system for the management of abnormal situations in an artificially gas-lifted well based on agents Abnormal Situations Management System (ASMS) is developed, which is part of the architecture of the industrial automation based on multi-agents systems (SADIA) proposed in Bravo, Aguilar, and Rivas (2004). This agent is based on the intelligent distributed control system based on agents (IDCSBA) reference model proposed in Aguilar, Cerrada, Mousalli, Rivas, and Hidrobo (2005). The MASINA methodology (Aguilar, Hidrobo, and Cerrada 2007) is used in matters of analysis, design, and implementation.