
	Trends in Applied Sciences Research
	Year: 2009 \| Volume: 4 \| Issue: 4 \| Page No.: 229-240

Geologically-Constrained Fuzzy Mapping of Porphyry Copper Mineralization Potential, Meiduk District, Iran

R. Derakhshani and A. Mehrabi

Abstract: In this study the theory of fuzzy sets is developed for geologically-constrained predictive mineral potential mapping. The application of the theory of fuzzy sets involves multi-class predictor patterns of geological features. Using the spatial association between known copper deposits and structural features of the study area which is provided by weights of evidence modeling, maps of fuzzy membership value for strike-slip fault fractures, batholithic pluton margins, pluton centroids, lithologic formations andhydrothermal alteration units are provided. After combination of these layers, zones of porphyry cupper potential are provided by using fuzzy gamma operator. This method for geologically-constrained predictive mineral potential mapping indicates that the predicted favorable zones for porphyry copper in the study area comprise 4 areas: good potential (0.35%), moderate potential (0.87%), weak potential (31.9%) and non potential for porphyry copper deposits (66.88%) where some well-known deposits like Meiduk and Sara are located in the favorable potential area. So, the application of the theory of fuzzy sets to mineral potential mapping provides a quantitative yet subjective technique for predicting mineral potential where a number of mineral deposits are known. Also, the application of the theory of fuzzy sets in the generation of geologically-constrained predictive maps of mineral potential can be useful to guide further exploration in the search for undiscovered mineral deposits in the study area.

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How to cite this article:

R. Derakhshani and A. Mehrabi, 2009. Geologically-Constrained Fuzzy Mapping of Porphyry Copper Mineralization Potential, Meiduk District, Iran. Trends in Applied Sciences Research, 4: 229-240.

URL: https://scialert.net/abstract/?doi=tasr.2009.229.240

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