UC, and its better-looking friend Local UC, provide estimation of G-T curves by SMU into larger panels for recoverable resources at several CoGs. LUC assigns local values based on OK ranking to get spatial quality within a panel. Advantages include probability and mean local grade in areas of wide spaced data (assuming spatial continuity of course). This non-linear method works well for large, continuous and consistent geology such as broad stratigraphic deposits (i.e. iron ore, bauxite, coal, brine, etc.) with wide-spaced data. Pitfalls of UC is that it does not provide local estimates. It will return a G-T but if you don’t know where the good stuff (> CoG) is within that panel, what’s the point? LUC helps but the estimator must be careful because Mother Nature does not like consistency like geostatisticians may assume. One pesky fault, a change in weathering/alteration, or something else will negate the assumptions of stationarity along with poor variography. In early days projects, LUC is fantastic but check for cooperative geology/domains before simply applying this method. Happy Friday!