Fuzzy modeling of Petrophysical Properties Prediction Applying RBE-DSS and LESFRI

Author

Johanyak, Zsolt Csaba ; Kovács, Szilveszter

Author_Institution

Kecskemet Coll., Kecskemet

fYear

2007

Firstpage

87

Lastpage

92

Abstract

The appearance of fuzzy rule interpolation (FRI) techniques in practical applications gains more and more importance for automatic identification of sparse fuzzy rule bases from given training data. This paper reports the generation of a fuzzy system, which models the relation between different oil well data aiming the prediction of petrophysical properties. The applied rule base generation method is RBE-DSS [8] and the fuzzy inference was performed by the technique LESFRI [6].

Keywords

data mining; fuzzy reasoning; fuzzy systems; identification; interpolation; learning (artificial intelligence); oil technology; petroleum industry; automatic identification; fuzzy inference; fuzzy modeling; fuzzy rule interpolation; fuzzy system; oil well data; petrophysical property prediction; sparse fuzzy rule base generation; Educational institutions; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Industrial training; Informatics; Interpolation; Logistics; Petroleum; Predictive models; Fuzzy Rule Base Identification; Fuzzy Rule Interpolation (FRI); LESFRI; RBE-DSS;

fLanguage

English

Publisher

ieee

Conference_Titel

Logistics and Industrial Informatics, 2007. LINDI 2007. International Symposium on

Conference_Location

Wildau

Print_ISBN

978-1-4244-1441-3

Electronic_ISBN

978-1-4244-1441-3

Type

conf

DOI

10.1109/LINDI.2007.4343518

Filename

4343518