ADVANCED ESTIMATION CANNOT FIX POOR DRILL DATA Resource and reserve estimation often receives most of the attention — variograms, kriging, block models, and advanced algorithms. But none of them can compensate for poor input data. Before building confidence in a model, confidence must first be built in the drill database. A reliable estimation starts with disciplined validation: ✔ Collar verification ✔ Survey validation ✔ Assay QAQC (CRM, Blank, Duplicate) ✔ Interval and database cleaning ✔ Outlier identification and management Outliers should not automatically be removed, Some represent errors. Others represent the geology itself. The challenge is knowing the difference. A capped model without geological understanding can destroy value. An uncapped model without control can create false confidence. The objective is not to create a smooth model. The objective is to represent reality as accurately as possible. Because at the end of the workflow: Good geology + Good method + Poor data = Poor reserve. Validate first. Estimate later. Trust your data, not only your software. #ReserveEstimation #ResourceModeling #DrillData #Mining #Geology #QAQC #Geostatistics #OreReserve #BlockModel #OutlierManagement #MineralResources #MiningEngineering #Exploration #GeologicalModeling #MinePlanning #NickelMining #Zvenia