Applied Geostatistics for Resource Estimation in Surpac

A practical geostatistics course that follows the workflow of a real resource estimate. You start with domaining and exploratory data analysis on a 2D grade control data set, deal with outliers, and learn how variograms describe spatial continuity and anisotropy. You then run and compare inverse distance and ordinary kriging, validate the models, and move on to indicator kriging and sequential Gaussian simulation. The final day is a full 3D ore reserve case study, from composites to a validated kriged block model and a block size analysis.