in this research work, the frequency domain (fd) of surface geochemical data was analyzed to decompose the complex geochemical patterns related to different depths of the mineral deposit. in order to predict the variation in mineralization in the depth and identify the deep geochemical anomalies and blind mineralization using the surface geochemical data for the dalli cu-au porphyry deposit, a ...

Volatile-rich intermediate to silicic magmatic systems can feed devastating volcanic eruptions but also generate valuable magmatic-hydrothermal ore deposits that supply most of the world's copper. Understanding geometry, dynamics and timescales these is critical in developing models for predicting occurrence future large eruptions. Here, we use zircon petrochronology from an equigranular monzon...

This paper presents a quantitative modeling for delineating alteration zones in the hypogene zone of the Miduk porphyry copper deposit (SE Iran) based on the core drilling data. The main goal of this work was to apply the Ordinary Kriging (OK), Artificial Neural Networks (ANNs), and Concentration-Volume (C-V) fractal modelings on Cu grades to separate different alteration zones. Anisotropy was ...

Supergene oxidation-leaching and secondary sulfide enrichment in the SarCheshmeh porphyry Cu-Mo deposit generated a supergene profile to depths of 20 to 80 meters with oxide ore reserve about 22 Mt. @1.08% Cu and sulfides ore [email protected]% Cu. Geochemical distribution and behavior of trace metals associated with Cu namely Mo, Au, and Ag in the supergene profile of the SarCheshmeh were po...