Abstract
During mineral exploration, it is common to have multiple drilling campaigns. Samples from these campaigns usually have distinct sampling lengths or supports. All the available information should be incorporated when constructing a grade model. However, the variations in length among the samples must be considered during estimation. We propose to perform kriging using samples of different lengths. The kriging system is built using average covariances to account for the difference in support between the samples. The technique is applied in a mining case study and the benefits are demonstrated.
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Acknowledgements
The authors would like to thank CAPES and CNPq (research agencies in Brazil) for financial support.
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Bassani, M.A.A., Costa, J.F.C.L. (2017). Using Samples of Unequal Length for Estimation. In: Gómez-Hernández, J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M., Cassiraga, E., Vargas-Guzmán, J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-46819-8_8
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DOI: https://doi.org/10.1007/978-3-319-46819-8_8
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