Fault detection system in gas lift well based on artificial immune system

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This paper appears in:
Neural Networks, 2003. Proceedings of the International Joint Conference on
Date of Conference: 20-24 July 2003
Author(s): Araujo, M.
Dpto. de Computacion, Univ. de Los Andes, Merida, Venezuela
Aguilar, J. ; Aponte, H.
Volume: 3
Page(s): 1673 - 1677 vol.3
Product Type: Conference Publications

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Abstract

In this paper we propose an Artificial Immune System for fault detection in gas lift oil well. Our novel approach inspired by the Immune System allows the application of a pattern recognition model to perform fault detection. A significant feature of our approach is its ability to dynamically learning the fluid patterns of the 'self' and predicting new patterns of the 'non-self'.

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Additional Details

On page(s): 1673
ISSN : 1098-7576
Print ISBN: 0-7803-7898-9
INSPEC Accession Number: 7898683
Digital Object Identifier : 10.1109/IJCNN.2003.1223658
Date of Current Version : 26 August 2003
Issue Date : 20-24 July 2003

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