The purpose of this study is to identify the enriched zones of Cu, Mo and Re in Nowchun Mo-Cu porphyry deposit (SE Iran) based on subsurface data and using of concentration–volume (C–V) fractal model. The C-V model illustrates four and five geochemical zones based on Mo and Cu distributions respectively and there are three geochemical populations for Re. The main mineralization for Mo, Cu and R...

During the latter part of the Phanerozoic, numerous iron oxide(-Cu-Au) (IOCG) systems formed in parts of the Cordillera of North and South America. They occur in diverse tectonic and magmatic settings with considerable variety in deposit associations and characteristics. Although there are general patterns, there is no simple, all-encompassing descriptive model; a comparison with the diversity ...

This paper describes the application of a new multi-criteria decision making (MCDM) technique called fuzzy outranking to map prospectivity for porphyry Cu Mo deposits. Various raster-based evidential layers involving geological, geophysical, and geochemical geo-data sets are integrated for mineral prospectivity mapping (MPM). In a case study, 13 layers of the Now Chun deposit located in the Ker...

Prospectivity modelling has been completed over the Lachlan Fold Belt, New South Wales, Australia, using the GIS based weights of evidence modelling technique to target porphyry Cu-Au, associated skarn Cu-Au, orogenic Au and VMS Au mineralisation. The Lachlan Fold Belt is a 700 km wide belt of Paleozoic accretionary terrains, stretching from Queensland to Tasmania. Porphyry and skarn mineralisa...

introduction the kahang cu- mo deposit is situated approximately 73 km northeast of isfahan. asadi (2007) identified a geological reserve of 40 mt (proven reserve) grading at 0.53 cu, 0.02 mo and estimated reserve of 120 mt. all the rock types in the region have been subjected to hydrothermal solutions which gave rise to three different alteration facies. the dacite and rhyodacite volcanic rock...

Due to substantial effect of classification of resource models on future mine planning, one should come with an accurate method of estimation to guarantee that the minimum error is acquired in the estimation process. The known world class Cu-Mo deposit, Sarcheshmeh Porphyry deposit (central Iran) selected as the study area. The Hypogene zone of the deposit was chosen as the space in which estim...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...

Kahang Cu Porphyry deposit is situated in the central part of a major Iranian magmatic belt, Urumieh-Dokhtar, in central Iran.There are several sub-volcanic stocks (e.g., porphyric granitoids rocks, quartz monzonite, diorite and monzodiorite-monzogranite)within Eocene volcanic and pyroclastic rocks consisting of basaltic, trachy-andesite and dacitic rocks. Hydrothermal alterations at the Kahang...