3D�LITHOLOGY,�ALTERATION�AND�ZONATION�MODELLING�OF�THE�EASTERN�PART�OF�KAHANG�CU-MO-AU�PORPHYRY�DEPOSIT�IN�CENTRAL�IRAN

2012 ◽  
Author(s):  
Amir�Bijan Yasrebi
Keyword(s):  
Central Iran ◽  
Porphyry Deposit

Application of an ordinary kriging–artificial neural network for elemental distribution in Kahang porphyry deposit, Central Iran

2020 ◽  
Vol 13 (15) ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Ardeshir Hezarkhani ◽  
Peyman Afzal ◽  
Reza Karami ◽  
Mohammad Eskandarnejad Tehrani ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Ordinary Kriging ◽  
Central Iran ◽  
Elemental Distribution ◽  
Porphyry Deposit ◽  
Artificial Neural

Application of power-spectrum–volume fractal method for detecting hypogene, supergene enrichment, leached and barren zones in Kahang Cu porphyry deposit, Central Iran

2012 ◽  
Vol 112 ◽  
pp. 131-138 ◽  
Author(s):  
Peyman Afzal ◽  
Younes Fadakar Alghalandis ◽  
Parviz Moarefvand ◽  
Nematolah Rashidnejad Omran ◽  
Hooshang Asadi Haroni
Keyword(s):  
Power Spectrum ◽  
Central Iran ◽  
Fractal Method ◽  
Porphyry Deposit ◽  
Supergene Enrichment

scholarly journals APPLICATION OF RQD-NUMBER AND RQD-VOLUME MULTIFRACTAL MODELLING TO DELINEATE ROCK MASS CHARACTERISATION IN KAHANG Cu-Mo PORPHYRY DEPOSIT, CENTRAL IRAN / ZASTOSOWANIE METOD MODELOWANIA NUMERYCZNEGO ORAZ MODELOWANIA FRAKTALNEGO DO ANALIZY JAKOŚCI SKAŁ W CELU OKREŚLENIA CHARAKTERYSTYKI GÓROTWORU W OBSZARZE ZŁOŻA Cu-Mo W KAHANG, ŚRODKOWY IRAN

2013 ◽  
Vol 58 (4) ◽  
pp. 1023-1035 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Andrew Wetherelt ◽  
Patrick J. Foster ◽  
Peyman Afzal ◽  
John Coggan ◽  
...  
Keyword(s):  
Rock Mass ◽  
Fractal Model ◽  
Mine Planning ◽  
Central Iran ◽  
Rock Classification ◽  
Porphyry Deposit ◽  
Planning And Design ◽  
Fractal Models ◽  
Rock Quality ◽  
Rock Mass Characterisation

Abstract Identification of rock mass properties in terms of Rock Quality Designation (RQD) plays a significant role in mine planning and design. This study aims to separate the rock mass characterisation based on RQD data analysed from 48 boreholes in Kahang Cu-Mo porphyry deposit situated in the central Iran utilising RQD-Volume (RQD-V) and RQD-Number (RQD-N) fractal models. The log-log plots for RQD-V and RQD-N models show four rock mass populations defined by RQD thresholds of 3.55, 25.12 and 89.12% and 10.47, 41.68 and 83.17% respectively which represent very poor, poor, good and excellent rocks based on Deere and Miller rock classification. The RQD-V and RQD-N models indicate that the excellent rocks are situated in the NW and central parts of this deposit however, the good rocks are located in the most parts of the deposit. The results of validation of the fractal models with the RQD block model show that the RQD-N fractal model of excellent rock quality is better than the RQD-V fractal model of the same rock quality. Correlation between results of the fractal and the geological models illustrates that the excellent rocks are associated with porphyric quartz diorite (PQD) units. The results reveal that there is a multifractal nature in rock characterisation with respect to RQD for the Kahang deposit. The proposed fractal model can be intended for the better understanding of the rock quality for purpose of determination of the final pit slope.

scholarly journals Determination of an optimum voxel size based on statistical methods in the Kahang Cu porphyry deposit, Central Iran

2015 ◽  
Vol 51 (1) ◽  
pp. 21-27 ◽  
Author(s):  
A.B. Yasrebi ◽  
A. Wetherelt ◽  
P. Foster ◽  
P. Afzal ◽  
Kaveh Ahangaran
Keyword(s):  
Statistical Methods ◽  
Central Iran ◽  
Voxel Size ◽  
Porphyry Deposit

scholarly journals Correlation between geology and concentration-volume fractal models: significance for Cu and Mo mineralized zones separation in the Kahang porphyry deposit (Central Iran)

2013 ◽  
Vol 64 (2) ◽  
pp. 153-163 ◽  
Author(s):  
Amir Bijan Yasrebi ◽  
Peyman Afzal ◽  
Andy Wetherelt ◽  
Patrick Foster ◽  
Reza Esfahanipour
Keyword(s):  
Fractal Model ◽  
Central Iran ◽  
Geological Model ◽  
Porphyry Deposit ◽  
Fractal Models ◽  
Supergene Enrichment ◽  
Geological Models

Abstract This study identifies the major mineralized zones including supergene enrichment and hypogene enrichment in the Kahang Cu-Mo porphyry deposit which is located in Central Iran based on subsurface data and utilization of the concentration-volume (C-V) fractal model. Additionally, a correlation between results achieved from a C-V fractal model and geological models consisting of zonation, mineralography and alteration have been conducted in order to have an accurate recognition and modification of the main mineralized zones. Log-log plots indicate five geochemical populations for Cu and Mo in the deposit which means that mineralization commences with 0.075 % and 13 ppm for Cu and Mo (as the first thresholds) respectively. The main mineralization began for Cu ≥ 0.42 % and Mo ≥ 100 ppm and also enriched mineralization containing Cu ≥1.8 % and Mo ≥ 645 ppm which is located in the central part of the deposit. According to the C-V model, the main Cu-Mo mineralized zones occur in the hypogene zone, especially in the central, NW and NE parts of the Kahang deposit. The supergene enrichment zone derived via the C-V model is smaller than that in the geological model and is located in the central and eastern parts of the deposit. Results analysed by the C-V fractal model certify that the interpreted zones based on the fractal model are accurate. To certify this, a logratio matrix has been employed to validate the C-V fractal model for the Cu and Mo main mineralized zones

Geochemical characteristics of the Kal-e Kafi Cu-Mo-Au porphyry deposit, Central Iran

2015 ◽  
Vol 8 (12) ◽  
pp. 10739-10758 ◽  
Author(s):  
Farzad Mahdavi ◽  
Ahmad Khakzad ◽  
Nima Nezafati ◽  
Mansour Vosughi-Abedini
Keyword(s):  
Geochemical Characteristics ◽  
Central Iran ◽  
Porphyry Deposit
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