Kuh-Panj porphyry Cu mineralization is in Kerman province, 20 km’s far from Sarcheshmeh mine to the South-East. It is located within the Urmieh–Dokhtar magmatic belt. Primary exploration activities of Kuh-Panj area is done by Yugoslavs in 1971. This exploration activities is resulted in a geological map of scale 1:50000 and collecting some soil, rockchip and stream sediment samples. During the present thesis, investigations are done in two different cases of surficial and depth studies. In both cases, statistical preprocessing is acquired due to identification of outlier data and imputing missing values. By means of dimension reduction of the data, end-member analysis is done. Considering compositional nature of geochemical data, it is essential to apply appropriate log-ratio techniques prior to accomplish statistical processes. Hence, different log-ratio techniques are applied on both the raw and standardized data. However, due to further comparisons of surficial and depth results, Cu element is modelled unvariately in the depth of 100 meters. The most abundant rock types of the study area are andesitic dacite, diorite and quartz-diorite. The extracted end-members of aforementioned statistical methods are then transformed through different log-ratio techniques to determine the Range Correlation Coefficient (RCC) which best characterizes the copper mineralized zones of Kuh-Panj exploration area. Since there is high correlation between alr log-ratio technique and the promising rock types of diorite and quartz-diorite, it’s concluded that among different log-ratio techniques, alr transformation technique seems to be the proper one to preprocess the data of Kuh-Panj area. Investigating the relations of major oxides alteration index of alr transformed data and the alteration map of study area also indicates that phyllic and potassic zones are in high consistence with the determined index. Mineral prospectivity maps resulted from the raw data also reveal some of the promising rock types and alteration zones but considering compositional nature of the data, most of the promising rocks and alteration zones of these maps are overlaid by the resulted anomalies. Finally, it is highly notable that applying inappropriate log-ratio technique is not only not useful but also can cause the results to be misleading.
