Bibliographic citations
Escudero, G., Morera, J. (2022). Optimización del plan de Kriging ordinario mediante la validación cruzada en la estimación de recursos geológicos, 2020 [Tesis, Universidad Privada del Norte]. https://hdl.handle.net/11537/33089
Escudero, G., Morera, J. Optimización del plan de Kriging ordinario mediante la validación cruzada en la estimación de recursos geológicos, 2020 [Tesis]. PE: Universidad Privada del Norte; 2022. https://hdl.handle.net/11537/33089
@misc{renati/513837,
title = "Optimización del plan de Kriging ordinario mediante la validación cruzada en la estimación de recursos geológicos, 2020",
author = "Morera Quiroz, Jose Carlos Miguel",
publisher = "Universidad Privada del Norte",
year = "2022"
}
The main objective of this research was to optimize the Ordinary Kriging plan, through cross validation in the estimation of geological resources in a copper deposit. The methodology started with the exploratory study (EDA) of the uncomposited and composited data at 15 meters, in general and for each lithology (rock 1, 2 and 3). The purpose of this preliminary analysis was to identify errors in the data. Then, the variographic analysis was carried out with variographic maps, experimental and modeled variograms; which allowed identifying the anisotropy of the samples in each lithology. Then, different estimation plans were defined either in Ellipsoidal and Box (cubes), and without considering only the composite to be estimated or the whole borehole where it belonged; finally, the best plan was optimized based on criteria such as global unbias (lower estimation error), conditional unbias (close to 1), R2 coefficient (close to 1) and estimation precision (close to 0). The results showed that the optimal Kriging plan for lithologies 1, 2 and 3 was 40, 40 and 16 samples, respectively; considering an estimation plan (ellipsoidal) and without considering only the composite to be estimated. Therefore, these are the plans that best fit the data when compared with the criteria of the other plans either in ellipsoidal and Box.
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