Fault detection system in gas lift well based on artificial immune system
Araujo, M.
Aguilar, J.
Aponte, H.
Dpto. de Computacion, Univ. de Los Andes, Merida, Venezuela;
This paper appears in: Neural Networks, 2003. Proceedings of the International Joint Conference on
Publication Date: 20-24 July 2003
Volume: 3,
On page(s): 1673- 1677 vol.3
ISSN: 1098-7576
ISBN: 0-7803-7898-9
INSPEC Accession Number: 7898683
Digital Object Identifier: 10.1109/IJCNN.2003.1223658
Current Version Published: 2003-08-26
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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