Mineral Resource Classification Using Geostatistical and Fractal Simulation in the Masjed Daghi Cu–Mo Porphyry Deposit, NW Iran
Afzal P. Gholami H. Madani N. Yasrebi A.B. Sadeghi B.
March 2023MDPI
Minerals
2023#13Issue 3
Mineral resource classification is an important step in mineral exploration and mining engineering. In this study, copper and molybdenum resources were classified using a combination of the Turning Bands Simulation (TBSIM) and the Concentration–Volume (C–V) fractal model based on the Conditional Coefficient of Variation (CCV) for Cu realizations in the Masjed Daghi porphyry deposit, NW Iran. In this research, 100 scenarios for the local variability of copper were correspondingly simulated using the TBSIM and the CCVs were calculated for each realization. Furthermore, various populations for these CCVs were distinguished using C–V fractal modeling. The C–V log–log plots indicate a multifractal nature that shows a ring structure for the “Measured”, “Indicated”, and “Inferred” classes in this deposit. Then, the results obtained using this hybrid method were compared with the CCV–Tonnage graphs. Finally, the results obtained using the geostatistical and fractal simulation showed that the marginal parts of this deposit constitute inferred resources and need more information from exploration boreholes.
concentration–volume (C–V) fractal model , conditional coefficient of variation (CCV) , mineral resource classification , turning bands simulation (TBSIM)
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Department of Petroleum and Mining Engineering, South Tehran Branch, Islamic Azad University, Tehran, 1418653411, Iran
Research Center for Modeling and Optimization in Science and Engineering, South Tehran Branch, Islamic Azad University, Tehran, 1418653411, Iran
School of Mining and Geosciences, Nazarbayev University, Astana, 010000, Kazakhstan
Sharif Ideator Metals and Mining Industrial Co, Tehran, 1418653411, Iran
EarthByte Group, School of Geosciences, University of Sydney, Camperdown, 2006, NSW, Australia
Earth and Sustainability Science Research Centre, School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, 2052, NSW, Australia
Department of Petroleum and Mining Engineering
Research Center for Modeling and Optimization in Science and Engineering
School of Mining and Geosciences
Sharif Ideator Metals and Mining Industrial Co
EarthByte Group
Earth and Sustainability Science Research Centre
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