Sequential Gaussian Simulation in the Sungun Cu Porphyry Deposit and Comparing the Stationary Reproduction with Ordinary Kriging

Abstract

Main aim of this study is stationary (first and second order) reproduction assessment of sequential Gaussian simulation (SGS) compared to ordinary kriging (OK) in the hypogene zone of the Sungun Cu porphyry deposit (NW Iran) based on drillcore data utilizing both SGS and OK. In comparison with OK, geostatistical stochastic simulations are able to assess spatial and uncertain distribution of desired variables. In simulation by SGS method, data were transferred to standard normal and then simulated 10 times (10 realizations were created in this scenario. All of the realizations were honor to histogram and variogram of samples, so all realizations are valid but derived cumulative distribution functions from E-type map and kriging could not reproduce the stationary well.