Author/Authors :
Afzal، Peyman نويسنده Department of Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran Afzal, Peyman , Shahbeik، Shahab نويسنده Department of Mining Engineering, Faculty of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran , , Moarefvand، Parviz نويسنده Amirkabir University of Technology, Mining and Metallurgy Faculty, Tehran, Iran , , Bijan Yasrebi، Amir نويسنده Camborne School of Mines, University of Exeter, Penryn, UK , , Zuo، Renguang نويسنده State Key Laboratory of Geological Processes and Mineral Resources, China University of Geosciences, Wuhan 430074, Beijing 100083, China , , Wetherelt، Andrew نويسنده Camborne School of Mines, University of Exeter, Penryn, UK ,
Abstract :
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 ellipsoids were generated for the Fe distribution using the
above estimation methods. Continuity of ore and waste, the number of points involved, discretization factor for ore and waste
boundaries and block model were generated for reserve estimation purposes. In addition, the C-V log–log plots based on the
estimation methods that represent the various mineralized zones from existing thresholds and error estimations in both methods were
compared. The comparison and interpretation of the mineralized zones based on the C–V fractal modeling show that the error is less
in the OK method, although the volume of extreme, high and moderate zones resulting from the OK method is greater than the IDW
method. The thresholds considering C-V fractal modeling for extremely, highly, moderately and weakly mineralized zones are
60.37%, 55.27% and 45.66% respectively for the OK method and 55.14%, 50.12% and 41.48% respectively for the IDW method.
According to the threshold values, the error in the OK method is less than 20% while the error estimation resulting from the IDW
method increases to 60%.
