نتایج جستجو برای: porphyry cu
تعداد نتایج: 62131 فیلتر نتایج به سال:
This work presents the application of a geostatistical-based modeling approach for building up electrical properties acquired from a geophysical electrical tomography survey deployed for the purpose of porphyry Cu exploration at the Takht-e-Gonbad deposit, in the central domain of Iran. Electrical data were inverted in 2D along several profiles across the main favorable zones of Cu-bearing mine...
eastern iran has great potential for porphyry copper deposits, as a result of its past subduction zone tectonic setting that lead to extensive alkaline to calc-alkaline magmatic activity in tertiary time. maherabad is the first porphyry cu-au prospecting area which is discovered in eastern iran. this is related to a succession o f monzonitic to dioritic porphyries stocks that were emplaced with...
MA-II area is one of the most important parts of Cu-Au porphyry mineralization at Maherabad prospect area. Subvolcanic intermediate intrusive rocks (Upper Eocene), monzonite to diorite in compositions, intruded telescopically and are mostly altered. Monzonitic porphyries had major role in mineralization. These intrusive rocks are highly altered, have dense stockwork veinlets, and show highest g...
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 ...
The Pellapahk Cu-Mo and Oleninskoe Au-Ag deposits in the western segment of Russian Arctic Kolmozero–Voronya greenstone belt are considered two parts an Archean (2.83–2.82 Ga) porphyry-epithermal system, probably oldest one defined Fennoscandian Shield. Formation deposit at epithermal stage system is indicated by spatial genetic relationships with sills granite porphyry, geochemical association...
This paper focuses on the relationships between the geological model and exploration techniques for porphyry Cu ± Au deposits, with reference to the discovery record and exploration practices over the past fifteen years. The porphyry model is built on a long record of study dating back to the 1960s which has been gradually refined to encompass differences and complexities in mineralization and ...
We report indium, germanium, gallium, and other minor trace elements contents in sphalerite, chalcopyrite, galena, tetrahedrite-tennantite occurring skarn skarn-free (“Cordilleran”) polymetallic mantos vein ore bodies the Miocene porphyry-related Morococha District, Central Peru. Among investigated minerals, LA-ICP-MS measurements indicate that In Ga concentrate mostly sphalerite (Inter-Quartil...
The porphyry system is based on a new system for digital libraries, in which experts can express and represent semantic structures between documents. Our contribution to this work is to allow the confrontation of the viewpoints given by them, and the subsequent system, Platon, is planned as an extension of Porphyry.
Machine learning methods that have been used in data-driven predictive modeling of mineral prospectivity (e.g., artificial neural networks) invariably require large number of training prospect/locations and are unable to handle missing values in certain evidential data. The Random Forests (RF) algorithm, which is a machine learning method, has recently been applied to data-driven predictive map...
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