Fuzzy rule interpolation for multidimensional input space with petroleum engineering application

Author

Wong, Kok Wai ; Gedeon, Tamás D.

Author_Institution

Sch. of Inf. Technol., Murdoch Univ., WA, Australia

Volume

4

fYear

2001

fDate

25-28 July 2001

Firstpage

2470

Abstract

Fuzzy rule based systems have been very popular in many engineering applications. In petroleum engineering, fuzzy rules are normally constructed using some fuzzy rule extraction techniques to establish the petrophysical property prediction model. However, when generating fuzzy rules from the available information, it may result in a sparse fuzzy rule base. The use of more than one input variable is also common in petroleum engineering. The paper examines the application of fuzzy interpolation to resolve problems using sparse fuzzy rule bases, and perform analysis of fuzzy interpolation in multidimensional input space

Keywords

fuzzy set theory; interpolation; knowledge acquisition; knowledge based systems; petroleum industry; fuzzy interpolation; fuzzy rule based systems; fuzzy rule extraction techniques; fuzzy rule generation; fuzzy rule interpolation; input variable; multidimensional input space; petroleum engineering application; petrophysical property prediction model; sparse fuzzy rule base; sparse fuzzy rule bases; Data mining; Fuzzy sets; Fuzzy systems; Interpolation; Multidimensional systems; Permeability; Petroleum; Predictive models; Reservoirs; Well logging;

fLanguage

English

Publisher

ieee

Conference_Titel

IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th

Conference_Location

Vancouver, BC

Print_ISBN

0-7803-7078-3

Type

conf

DOI

10.1109/NAFIPS.2001.944460

Filename

944460