Affiliations: [a] Graduate Studies and Research Division, Tecnológico Nacional de México/Instituto Tecnológico de Orizaba, East 9 Num. 852, Suburb Emiliano Zapata. Orizaba, Veracruz, Mexico
| [b] Graduate Studies and Research Division, Tecnológico Nacional deMéxico/Técnológico Superior de Huatusco, Avenue 25 West Number 100, Suburb Reserva Territorial, Huatusco, Veracruz, Mexico
Correspondence:
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Corresponding author. Alberto A. Aguilar-Lasserre, Graduate Studies and Research Division, Orizaba Technological Institute, East 9 Num. 852, Suburb Emiliano Zapata. Orizaba, Veracruz, Postal address: 94320, México. Tel.: +52 272 7257056 /Ext. 114; E-mail: [email protected].
Abstract: This research is carried out in the Mexican oil and gas industry. An Intelligent Decision Support System (IDSS) is proposed, through support modules for the human operator (fuzzy expert system and artificial neural network) that simulate, forecast and standardize operational decision criteria of a sequential pipeline pumping system, with problems of vandalism, mechanical deterioration in the face of a complex topographic profile, in order to minimize operational subjectivity and prevent contingencies. The research provides new control and monitoring alternatives that guarantee the operational reliability of a pumping station, minimizing the effects of risk by managing the knowledge of the experts involved in the problem, data mining and association of results, which allow to unify criteria decision. The originality of the work focuses on the ability to model, identify and adapt variables to current international parameters, considering previous works through a comprehensive perspective.
Keywords: Hydrocarbon, pipeline transport system (PTS), fuzzy expert system (FES), artificial neural network (ANN), intelligent decision support system (IDSS)
