Alteration Geochemistry of Volcanic Rocks around Sarcheshmeh Porphyry Copper Deposit, Rafsanjan, Kerman, Iran: Implications for Regional Exploration
نویسندگان
چکیده
منابع مشابه
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...
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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...
متن کاملthe mass balance calculation of hydrothermal alteration in sarcheshmeh porphyry copper deposit
sarcheshmeh porphyry copper deposit is located 65 km southwest of rafsanjan in kerman province. the sarcheshmeh deposit belongs to the southeastern part of urumieh-dokhtar magmatic assemblage (i.e., dehaj-sarduyeh zone). intrusion of sarcheshmeh granodiorite stock in faulted and thrusted early-tertiary volcano-sedimentary deposits, led to mineralization in miocene. in this research, the mass ch...
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This work describes a knowledge-guided clustering approach for mineral potential mapping (MPM), by which the optimum number of clusters is derived form a knowledge-driven methodology through a concentration-area (C-A) multifractal analysis. To implement the proposed approach, a case study at the North Narbaghi region in the Saveh, Markazi province of Iran, was investigated to discover porphyry ...
متن کاملSub-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...
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ژورنال
عنوان ژورنال: Resource Geology
سال: 2010
ISSN: 1344-1698
DOI: 10.1111/j.1751-3928.2010.00149.x