Screening Kriging

A short cut is presented where the average grade above a primary grade cutoff and its associated byproduct grade(s) are estimated by screening the primary and byproduct grades. For the primary variable, choose samples whose grades are above a cutoff of interest. Compute variograms for the subset of the primary variable. Then using this variogram, krige the blocks of interest only using the samples whose grades are above the cutoff. The next step is to screen byproduct grades by choosing byproduct samples whose associated primary grades are above the cutoff of interest. Next compute variograms for this subset of byproduct samples. Then using this variogram, krige the blocks of interest using byproduct sample grades whose associated primary sample grades are above the cutoff of interest. The results are the average grade above a primary cutoff for both the primary and the associated byproduct variables. Using two simulated primary and reference data sets a case study resulted in the screening krigings performing better than the indicator kriging approach in the first case study. A second case study had mixed results with the primary indicator approach performing better than the primary screened approach. The byproduct screened approach performed better than the byproduct indicator approach.