///In this paper, the use of geostatistics methods to Pulang copper Mining. On the copper grade distribution of the study. Set up a copper grade of variation of the mathematical model. Weighted polynomial regression method to achieve automatic fitting the experimental variogram. By cross-validation. Selection of the ideal experimental variogram parameter values. Ore bodies have been the direction of thickness, dip and strike copper grade variogram. The function was the geometric anisotropy. Ratio of 1:1.612:3.869. Reflect the grade of copper ore body at the direction of three on the relevance of good. Note the overall copper grade distribution coefficient is not Change. Conducive to the exploitation of mines. In addition, a copper grade of statistics belong to the normal distribution model. In other words. Next by Ordinary Kriging for the valuation of the best. The copper grade distribution of the mathematical model for the future to find similar Pulang Indosinian porphyry copper must have played a guiding role. For mine planning and design and production provides a theoretical basis.