Um Esquema de Controle Neuro-Fuzzy para o Bombeio Centrífugo Submerso em Sistemas de Campos de Petróleo (A Neuro-Fuzzy Control Scheme for the Electrical Submersible Pumping in Oilfield Systems)

Flávio Gentil de Araújo Filho (flaviogentil@ig.com.br)1, André Laurindo Maitelli (maitelli@dca.ufrn.br)1


1Universidade Federal do Rio Grande do Norte

This paper appears in: Revista IEEE América Latina

Publication Date: Nov. 2017
Volume: 15,   Issue: 11 
ISSN: 1548-0992


Abstract:
This work presents the development and implementation of a hybrid intelligent system (neuro-fuzzy) based controller applied to a non-linear flow control process in oilfield equipped with electrical submersible pumping as artificial lifting method. The efficient control of industrial plants requires that the user apply unconventional techniques, particularly when using different set-points or when it is required to follow certain system reference trajectories. The need to obtain expert knowledge in inference fuzzy logic membership functions and parameters are set automatically, using for training their own application data. The neuro-fuzzy model obtained is used to generate control actions in series the process presenting a suitable dynamic response.

Index Terms:
Electrical Submersible Pumping, Artificial Intelligence, Neuro-Fuzzy, Artificial Lifting   


Documents that cite this document
This function is not implemented yet.


[PDF Full-Text (727)]