DocumentCode :
1940132
Title :
Knowledge Selection for Laser Drilling in the Oil and Gas Industry
Author :
Ketata, C. ; Satish, M.G. ; Islam, M.R.
Author_Institution :
Fac. of Eng., Dalhousie Univ., Halifax, NS
Volume :
1
fYear :
2005
fDate :
28-30 Nov. 2005
Firstpage :
377
Lastpage :
382
Abstract :
To maximize oil and gas production profitability, it is paramount to reach the whole reservoir and extract the oil and gas in it efficiently. Therefore the well should be drilled as quickly as possible to start production as soon as possible. The laser drilling literature reviews, lab experiments, and numerical models have proven so far that this novel technique performs better and faster than the conventional rotary drilling technique. In addition, this eliminates the problem of contaminated water, soil, and rocks due to the use of toxic muds while rotary drilling. As a result, the drilling and production operations costs are minimized. This paper introduces the knowledge elements for laser drilling system that will be optimized by an expert system. This system comprises oil and gas well parameters, rock properties, and laser properties and parameters. Based on these data, the corresponding rate of penetration and drilling time are evaluated
Keywords :
expert systems; gas industry; laser beam machining; oil drilling; production engineering computing; expert system; gas industry; knowledge selection; laser drilling; oil industry; rotary drilling technique; Drilling; Gas industry; Gas lasers; Hydrocarbon reservoirs; Laser modes; Numerical models; Petroleum; Production; Profitability; 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.2005.1631295
Filename :
1631295
Link To Document :
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