Application of Volume Uncertainty for Resource Classification: A Case Study on the Rondon Do Pará Bauxite Deposit, Brazil

This study illustrates the application of conditional simulations to calculate uncertainty associated with thickness bauxite ores. The deposit Rondon do Pará in northern State, Brazil, is characterized by a well-defined lateritic profile, ore being composed two sequential horizons: massive and ferruginous bauxite. used data from 1.005 drillholes different grid spacing. Drillhole intervals both types were accumulated, converting database 3D 2D. Sequential Gaussian simulation produced probability maps calculated certain confidence intervals, which permits obtaining estimates thickness. Results show that portions same regular drillhole spacing there are ranges variability, could be useful support resource classification, associating classes. analysis also guide drilling program for conversion order optimize costs, indicating areas where greater would need densified. incorporation this information into model very helpful supporting subsequent studies economic evaluation risk analyses respect type or similarly mineral exploration.