نتایج جستجو برای: c v fractal model

تعداد نتایج: 3241311  

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...

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 ...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of the Artificial Neural Networks (ANNs) technique in ore grade estimation. Different training algorithms and numbers of hidden neurons are applied to estimate Cu grade of borehole data in the hypogene zone of porphyry copper-gold deposit, Masjed-Daghi, East Azerbaijan Province (Iran). The ef...

The purpose of this study is to identify the enriched zones of Cu, Mo and Re in Nowchun Mo-Cu porphyry deposit (SE Iran) based on subsurface data and using of concentration–volume (C–V) fractal model. The C-V model illustrates four and five geochemical zones based on Mo and Cu distributions respectively and there are three geochemical populations for Re. The main mineralization for Mo, Cu and R...

The main goal of this research work was to detect the different Cu mineralized zones in the Sungun porphyry deposit in NW Iran using the Spectrum-Volume (S-V) fractal modeling based on the sub-surface data for this deposit. This operation was carried out on an estimated Cu block model based on a Fast Fourier Transformation (FFT) using the C++ and MATLAB programing. The S-V log-log plot was gene...

In this paper, we aim to achieve two specific objectives. The first one is to examine the applicability of wavelet neural network (WNN) technique in ore grade estimation, which is based on integration between wavelet theory and Artificial Neural Network (ANN). Different wavelets are applied as activation functions to estimate Cu grade of borehole data in the hypogene zone of porphyry ore deposi...

Resources/reserves classification is crucial for block model creation utilised in mine planning and feasibility study. Selection of estimation methods is an essential part of mineral exploration and mining activities. In other word, resources classification is an issue for mining companies, investors, financial institutions and authorities, but it remains subject to some confusion. The aim of t...

Journal: :iranian journal of earth science 0
keyvan karami department of mining engineering, south tehran branch, islamic azad university, tehran, iran peyman afzal department of mining engineering, south tehran branch, islamic azad university, tehran, iran

the aim of this study was to identify various sulfidic mineralized zones in the ghare-tappeh cu deposit (nw iran) based on geo-electrical data including induced polarization (ip) and resistivity (rs) using the concentration-volume (c-v) and number-size (n-s) fractal models. the fractal models were used to separate high and moderate sulfidic zones from low sulfidic zones and barren wall rocks. b...

Amir Bijan Yasrebi Andrew Wetherelt Parviz Moarefvand Peyman Afzal Renguang Zuo Shahab Shahbeik

The purpose of this study is to identify the effect of Ordinary Kriging (OK) and Inverse Distance Weighted (IDW) estimation methods for the delineation of mineralized zones based on subsurface data using concentration–volume (C–V) multifractal modeling in the Dardevey iron ore deposit, NE Iran. Variograms and anisotropic ellipsoid were generated for the Fe distribution by the above estimation m...

Journal: :iranian journal of earth science 0
peyman afzal department of mining engineering, faculty of engineering, south tehran branch, islamic azad university, tehran, iran shahab shahbeik department of mining engineering, faculty of engineering, south tehran branch, islamic azad university, tehran, iran parviz moarefvand amirkabir university of technology, mining and metallurgy faculty, tehran, iran amir bijan yasrebi camborne school of mines, university of exeter, penryn, uk renguang zuo state key laboratory of geological processes and mineral resources, china university of geosciences, wuhan 430074, beijing 100083, china andrew wetherelt camborne school of mines, university of exeter, penryn, uk

the purpose of this study is to identify the effect of ordinary kriging (ok) and inverse distance weighted (idw) estimation methods for the delineation of mineralized zones based on subsurface data using concentration–volume (c–v) multifractal modeling in the dardevey iron ore deposit, ne iran. variograms and anisotropic ellipsoid were generated for the fe distribution by the above estimation m...

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