Comparison between Sequential Gaussian Simulation (SGS) of Choghart Ore Deposit and Geostatistical Estimation through Ordinary Kriging

The Conditional Simulations, based on 3331 XRF rock analysis from the Choghart iron deposit have been applied to Geostatistical simulation. Statistical investigations reviled that, the Fe input data had single-population characteristics and obeyed a natural model. To carry out this geostatistical investigation, a spherical model was fitted over an empirical variogram. Variography in different directions showed that there are neither geometric nor regional anisotropy. 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 108 million tones with an average iron grade of 55.4% for the whole deposit. Based on the illustrated Grade-tonnage curves, the range of tonnage variance, that is between 97 and 116 million tones have been estimated.

Comparison between Sequential Gaussian Simulation (SGS) of Choghart Ore Deposit and Geostatistical Estimation through Ordinary Kriging Keywords:

Sequential Gaussian Simulation (SGS) , kriging , Choghart , Iron Ore Deposit