DocumentCode :
2027788
Title :
Research on drilling parameters optimization based on case-based reasoning
Author :
Bi, Xue-liang ; Wang, Jian ; Feng, Jiu-hong ; Sun, Shi-hui
Author_Institution :
Key Lab. of Enhanced Oil & Gas Recovery of Educ. Minist., Daqing Pet. Inst., Daqing, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2891
Lastpage :
2894
Abstract :
Case-based reasoning (CBR) is a method to solve problems with the previous experience, and has achieved great success in many fields in recent years. In order to realize the scientification, intellectualization and modernization of drilling by making full use of the existing drilling information, the paper discusses the problems in the drilling parameter optimization based on CBR. The article introduces the ideas and design methods of CBR, and creates drilling parameters optimization case base. At the same time, how to retrieve, amend and maintain the reasoning process is introduced. Drilling parameter optimization theory is improved. The system also provides guarantee for enhancing drilling speed, preventing accidents and increasing quality.
Keywords :
case-based reasoning; drilling (geotechnical); optimisation; production engineering computing; case-based reasoning; drilling parameter; optimization theory; Cognition; Data mining; Drilling; Laboratories; Object oriented modeling; Optimization; Petroleum; case base; case-based reasoning (CBR); drilling operation; parameter optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5931-5
Type :
conf
DOI :
10.1109/FSKD.2010.5569272
Filename :
5569272
Link To Document :
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