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