Implication of geological domains data for modeling and estimating resources from Nkout iron deposit (South-Cameroun)

This paper is devoted to determining whether the addition of geological information can improve resource estimate mineral resources. The geochemical data used come from 116 drill holes in Nkout East iron deposit southern Cameroon. These are modeled on Surpac and Isatis softwares represent 3D distribution deposit. Statistical analysis then a variographic study performed spatial variability iron. Estimation domains were defined based results analyses. Four determined. saprolitic domain particular; poor or fresh rocks such as amphibolites, granites, gneisses; rich oxidized (BIF) metasediment domain. Block modeling resource. grade each block was estimated by using ordinary kriging composites also consisted comparing two types estimate, notably global estimate. cross-validation made it possible authenticate obtained models. From this comparison, estimation brings more precision precisely error while if we take into account point clouds predicted values, provides best results.