Perpustakaan Digital ITB

This study discusses gold vein resources modeling using the principle of indicator estimation, i.e. Indicator Kriging (IK) and Seviential Indicator Simulation (SIS) for Au grade of gold vein mineralization at Mt. Pongkor, West Jawa, Indonesia. The data used in this study is from exploration drilling of 136 data. Exploratory data analysis indicates that the available data with relatively wide range of 50 m in average toward the strike of gold vein data seems not proportional to the volume of ore bodies. The data set consists of some outliers. The estimation and simulation of Au grade was conducted using IK and SIS with two algorithms, i.e. Full Indicator Kriging (FIK) and Median Indicator Kriging (MIK). The probability plot and grade-tonnage curves for nine cut-off grades were displayed in order to validate the results of the estimated and simulated grade to the actual composited grade within block. From this study we could conclude that IK method with FIK algorithm was the most accurate method for the gold vein resources estimation.