Geochemistry, Mineralization and Alteration Zones of Darrehzar Porphyry Copper Deposit, Kerman, Iran

CONCENTRATION VARIATIONS OF MAJOR AND MINOR ELEMENTS ACROSS VARIOUS ALTERATION ZONES IN PORPHYRY COPPER DEPOSIT AT SUNGUN, EAST AZARBAIDJAN, IRAN

Geochemistry, mineralization and alteration of porphyry copper in the Grouh area, Sardouya (Kerman Province) with a view to the lack of supergene zone

The Grouh area is located about 19 km north-east of Sarduyeh city in Kerman Province. The major lithological units in this area include Eocene andesite and andesitic basalt. Oligo-Miocene intrusive units include diorite, quartz diorite and granodiorite; while pyroclastic units include tuff and breccia. The alteration in the Grouh area is remarkable due to the penetration of the intrusive masses...

Application of Adaptive Neuro-Fuzzy Inference System for Grade Estimation; Case Study, Sarcheshmeh Porphyry Copper Deposit, Kerman, Iran

Knowing the grades of target elements within an explored region is a very important aspect. Such grade value properties and the element correlation is also the most important exploration parameters needed for any one who attempts to decrease the exploration cost and also the exploration risk. These could be achieved by sampling, laboratory analyses and core loggings within the boreholes. Becaus...

Application of fractal modeling to delineate alteration zones and lithological units in Masjed-Daghi Cu-Au porphyry deposit, NW Iran

In this paper, we aim to present a quantitative modeling for delineating the alteration zones and lithological units in the hypogene zone of Masjed-Daghi Cu-Au porphyry deposit (NW Iran) based on the drill core data. The main goal of this work is to apply Ordinary Kriging (OK) and concentration-volume (C-V) fractal model based on Cu grades in order to separate the different alteration zones and...

Sub-pixel classification of hydrothermal alteration zones using a kernel-based method and hyperspectral data; A case study of Sarcheshmeh Porphyry Copper Mine and surrounding area, Kerman, Iran

Remote sensing image analysis can be carried out at the per-pixel (hard) and sub-pixel (soft) scales. The former refers to the purity of image pixels, while the latter refers to the mixed spectra resulting from all objects composing of the image pixels. The spectral unmixing methods have been developed to decompose mixed spectra. Data-driven unmixing algorithms utilize the reference data called...