DocumentCode
1921670
Title
Fault detection system in gas lift well based on artificial immune system
Author
Araujo, Mariana ; Aguilar, Jose ; Aponte, Hugo
Author_Institution
Dpto. de Computacion, Univ. de Los Andes, Merida, Venezuela
Volume
3
fYear
2003
fDate
20-24 July 2003
Firstpage
1673
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´.
Keywords
fault diagnosis; natural gas technology; oil technology; pattern recognition; unsupervised learning; artificial immune system; dynamic learning; fault detection system; fluid patterns; gas lift oil well; pattern recognition; Artificial immune systems; Centralized control; Fault detection; Immune system; Microorganisms; Pathogens; Pattern recognition; Petroleum; Protection; Viruses (medical);
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-7898-9
Type
conf
DOI
10.1109/IJCNN.2003.1223658
Filename
1223658
Link To Document