DocumentCode :
453924
Title :
Expert System Knowledge Management for Laser Drilling in the Oil and Gas Industry
Author :
Ketata, C. ; Satish, M.G. ; Islam, Md Rafiqul
Author_Institution :
Fac. of Eng., Dalhousie Univ., Halifax, NS
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
930
Lastpage :
938
Abstract :
The main drilling technique in the oil and gas industry has been rotary. Nevertheless, during the last decade, laser drilling has been investigated. Intensive research work has examined the soundness of this new drilling technique and its profitability. The laser drilling literature has confirmed that this novel technique performs better and faster than the conventional rotary drilling technique. Since the drilling time is reduced, the drilling costs are decreased, and the project profitability is increased. Furthermore, laser drilling eradicates the problem of contaminated water, soil, and rocks since water is used instead of toxic muds while drilling. This paper introduces the knowledge management process for an expert system that is the laser drilling system optimizer (LDSO). Then the development stages are described. The LDSO is an innovation since it is the first expert system developed for laser drilling in the oil and gas industry. It is a knowledge-based optimization system
Keywords :
expert systems; gas industry; industrial economics; knowledge management; laser beam machining; oil drilling; optimisation; production engineering computing; expert system knowledge management; gas industry; knowledge-based optimization system; laser drilling system optimizer; oil industry; project profitability; rotary drilling technique; Costs; Drilling; Expert systems; Gas industry; Gas lasers; Knowledge management; Petroleum; Profitability; Soil; Water pollution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Intelligence for Modelling, Control and Automation, 2005 and International Conference on Intelligent Agents, Web Technologies and Internet Commerce, International Conference on
Conference_Location :
Vienna
Print_ISBN :
0-7695-2504-0
Type :
conf
DOI :
10.1109/CIMCA.2005.1631383
Filename :
1631383
Link To Document :
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