Mineral Resource Classification Using Geostatistical and Fractal Simulation in the Masjed Daghi Cu–Mo Porphyry Deposit, NW Iran

Mineral resource classification is an important step in mineral exploration and mining engineering. In this study, copper molybdenum resources were classified using a combination of the Turning Bands Simulation (TBSIM) Concentration–Volume (C–V) fractal model based on Conditional Coefficient Variation (CCV) for Cu realizations Masjed Daghi porphyry deposit, NW Iran. research, 100 scenarios local variability correspondingly simulated TBSIM CCVs calculated each realization. Furthermore, various populations these distinguished C–V modeling. The log–log plots indicate multifractal nature that shows ring structure “Measured”, “Indicated”, “Inferred” classes deposit. Then, results obtained hybrid method compared with CCV–Tonnage graphs. Finally, geostatistical simulation showed marginal parts deposit constitute inferred need more information from boreholes.