Title :
Fuzzy modeling of Petrophysical Properties Prediction Applying RBE-DSS and LESFRI
Author :
Johanyak, Zsolt Csaba ; Kovács, Szilveszter
Author_Institution :
Kecskemet Coll., Kecskemet
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;
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
DOI :
10.1109/LINDI.2007.4343518
