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

摘要

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.