Scholarly record
SIMULATION OF COPPER CONTENT IN THE SUNGUN PORPHYRY DEPOSIT THROUGH SEQUENTIAL GAUSSIAN SIMULATION (SGS), IRAN
Abstract
The Sungun porphyry copper deposit is located 75km northwest of Ahar in northwestern Iran. The Conditional Simulations, based on 31068 XRF rock analysis from the Sungun porphyry copper deposit have been applied to Geostatistical simulation. Statistical investigations reviled that, the Cu input data had single-population characteristics and obeyed a lognormal model. To carry out this geostatistical investigation, a spherical model was fitted over an empirical variogram. Plotting the empirical variogram in different directions and dips showed geometric anisotropy for the deposit in both hypogene and supergene zones. For simulating via Sequential Gaussian Simulation (SGS) method, data were transferred to standard normal and then simulated 100 times. All of the realizations were honor to histogram and variogram, so all realizations are valid. E-Type and probability maps are drawn in 12.5 meters intervals and grade-tonnage curves were drowning for each realization. E-Type maps evaluate average 621 million tones with an average copper grade of \%0.68 Cu for the whole deposit. Based on the illustrated Grade-tonnage curves, the range of tonnage variance, that is between 530 and 721 million tones have been estimated.
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References12
O. Asghari, A. Hezarkhani, 2006, Sequential Gaussian Simulation (SGS) of the Choghart iron deposit, Iran, MPES conference, Torino, Italy, p.p. 369-375.
O. Asghari & A. Hezarkhani, 2006, Geostatistical modeling and reserve estimation of Sungun Porphyry Copper ore deposit through ordinary kriging method SGEM conference, Sofia, Bulgaria. Vol. II, p.p. 451-462.
O. Asghari & A. Hezarkhani, 2006, Choghart ore deposit estimation and risk estimation by Sequential Gaussian Simulation (SGS) method. Amirkabir Scientific journal, Vol. 64, p.p. 51-59.
O. Asghari & A. Hezarkhani, 2006, Geostatistical modeling and reserve estimation of Sungun porphyry copper deposit. MPES conference, Torino, Italy, p.p. 363-368.
Costa J.F. and Zingano J.A. and Koppe, J.C. ,(2000), “Simulation –An Approach to Risk Analysis in Coal Mining”, Exploration and Mining Geology Vol .9 No.1 pp 43-49.
Deustch, C.V. and Journel, A.G., 1998, GSLIB: Geostastical Software Library and user's guide: Oxford Univ. Press, New York, 340 p.
Dimitrakopoulos, R. And Fonseca, M.B., (2003), Assessing Risk in Grade- Tonnage Curves in a Complex Copper Deposit, Northern Brazil, Based on an Efficient Joint Simulation of Multiple Correlated Variables, APCOM, pp 373-
Hassani Pak, A.A. and Sharafodin, M., 2002, Analysis of exploratory data, Tehran University publishing, 987 p.
Moor, F. and Modabberi S., 2003, Origin of Choghart iron oxide deposit, Bafq mining district, Central Iran: new isotopic and geochemical evidence, Journal of science, Islamic Republic of Iran 14(3), pp 259-269.
Saeed, S.,2005, Deposit Estimation and Risk Estimation by Sequential Gaussian Geostatistical Simulation Method, Iranian Mining Engineering Conference- 2005, pp 141-154
Vann, J., Bertoli, O. and Jackson, S., (2002), Geostatistical Simulation for Quantifying Risk, Geostatistical Association of Australian symposium.
Webster, R. and Oliver, M., 2000, Geostatistic for Environmental Scientists, John Wiley & sons, New York, 270p.
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