Fuzzy modeling for reserve estimation based on spatial variability

B. Tutmez, A.E. Tercan, U. Kaymak

Onderzoeksoutput: Bijdrage aan tijdschriftTijdschriftartikelAcademicpeer review

30 Citaten (Scopus)


This article addresses a new reserve estimation method which uses fuzzy modeling algorithms and estimates the reserve parameters based on spatial variability. The proposed fuzzy modeling approach has three stages: (1) Structure identification and preliminary clustering, (2) Variogram analysis, and (3) Clustering based rule system. A new clustering index approach and a new spatial measure function (point semimadogram) are proposed in the paper. The developed methodology uses spatial variability in each step and takes the fuzzy rules from input-output data. The model has been tested using both simulated and real data sets. The performance evaluation indicates that the new methodology can be applied in reserve estimation and similar modeling problems.
Originele taal-2Engels
Pagina's (van-tot)87-111
Aantal pagina's25
TijdschriftMathematical Geology
Nummer van het tijdschrift1
StatusGepubliceerd - 2007


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