The use of multiple-point statistics as post-processing for ordinary kriging
DOI:
https://doi.org/10.11606/issn.2316-9095.v24-207271Keywords:
Geostatistics, FILTERSIM, Copper synthetic deposit, Smoothing effect, Multipoint simulationAbstract
Kriging smoothing represents a major drawback for mineral resources and reserves calculations, since high values are underestimated and low values are overestimated. Smoothing out local details of spatial variation in the analyte, makes patterns of high values more difficult to detect. This article proposes the use of multiple-point statistics as post-processing of ordinary kriging results, in order to mitigate this smoothing. The proposal uses the block model estimated by kriging as the training image. For the tests, a synthetic copper deposit was used in order to check the results obtained in relation to the real values. Visual, statistical and block-by-block analyzes were performed between geostatistical estimates and multiple-point simulations with the synthetic deposit, in order to understand whether the use of Multiple-point Statistic (MPS) as post-processing is valid. The MPS results were subtly more similar to the synthetic deposit, mainly in lower grade ranges. Thus, it was considered that the use of MPS as post-processing of ordinary kriging generates positive results, although not very expressive, making it possible to apply the methodology in the analysis of resources and reserves routine.
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