Modeling of porphyry copper-gold deposits in Zaviyeh 1:100000 sheet area using the combination of fuzzy logic and processing of Aster and Sentinel 2A images

The studied area is located in Zaviyeh 1:100000 sheet and included parts of Tehran, Qom, and Markazi provinces. There are geological units related to the Mesozoic and Cenozoic eras in this area, the volcanic igneous rocks of the Eocene and younger volcanic rocks are alternating of acidic rocks with a composition of dacite to rhyolite and medium to basic rocks of andesite to andesite-basalt. In the Zavieh area, the existing igneous rocks are part of the magmatic belt of Urmia Dokhtar, which is a suitable host for porphyry copper deposits. Since alteration are a good exploratory guide for the identification of porphyries, in this study using aster and sentinel sensor images, various hydrothermal alterations in the region (such as argillic, propolytic, silicic, carbonate and iron oxide alterations) have been investigated by band ratio and colour composite analysis. The processing results of the images obtained from the aster and sentinel sensors are highly reliable for detection of different types of clay minerals and iron oxides, respectively. On the other hand, today, geographic information system (GIS) and fuzzy logic in data integration and modeling have found a very important role in the exploration and estimation of mineral reserves to introduce promising mineral areas. In this research, after the integration of remote sensing and geological information, using fuzzy logic and Index overlay method; prone areas to mineralization were identified. Based on field observations, copper mineralization was observed in the form of malachite stains in some prosperous area.