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

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3 Author(s)
Araujo, M. ; Dpto. de Computacion, Univ. de Los Andes, Merida, Venezuela ; Aguilar, J. ; Aponte, H.

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'.

Published in:

Neural Networks, 2003. Proceedings of the International Joint Conference on  (Volume:3 )

Date of Conference:

20-24 July 2003