PATTERN RECOGNITION FOR DOWNHOLE DYNAMOMETER CARD IN OIL ROD PUMP SYSTEM USING ARTIFICIAL NEURAL NETWORKS | Zendy

Marco A. D. Bezerra | Zendy; Leizer Schnitman | Zendy; M. de A. Barreto Filho | Zendy; J. A. M. Felippe de Souza | Zendy

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PATTERN RECOGNITION FOR DOWNHOLE DYNAMOMETER CARD IN OIL ROD PUMP SYSTEM USING ARTIFICIAL NEURAL NETWORKS

Author(s) -

Marco A. D. Bezerra,

Leizer Schnitman,

M. de A. Barreto Filho,

J. A. M. Felippe de Souza

Publication year - 2009

Language(s) - English

Resource type - Conference proceedings

DOI - 10.5220/0002000403510355

Subject(s) - dynamometer , artificial neural network , extractor , computer science , artificial intelligence , pattern recognition (psychology) , set (abstract data type) , test set , engineering , mechanical engineering , process engineering , programming language

This paper presents the development of an Artificial Neural Network system for Dynamometer Card pattern recognition in oil well rod pump systems. It covers the establishment of pattern classes and a set of standards for training and validation, the study of descriptors which allow the design and the implementation of features extractor, training, analysis and finally the validation and performance test with a real data base.

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