Reduction of risk in short-term resource estimation with increased noise samples
DOI:
https://doi.org/10.11606/issn.2316-9095.v25-222435Keywords:
Sampling, Ordinary kriging, Cokriging, Sampling data bias, EstimationAbstract
This study addresses the use of secondary samples in short-term mineral resource estimation, due to the costs associated with diamond drilling (DDH). The research investigates methods for combining data from different sampling types, which often result in distinct sample supports and reliability levels, highlighting "primary" data (diamond drill hole samples) as more reliable and "secondary" data (channel samples or drill cuttings) as less reliable. The analysis includes estimations by ordinary kriging, correcting the bias of the secondary variable, and by cokriging, comparing the results with a reference model estimated only with primary samples. The findings suggest that correcting the bias of secondary data may be an effective practice for short-term mineral resource estimates by ordinary kriging.
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Copyright (c) 2025 Danilo Ribeiro dos Santos, Marcelo Monteiro da Rocha
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