Combination of geostatistical simulation and fractal modeling for mineral resource classification
Author
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Sadeghi, Behnam
Author
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Madani, Nasser
Author
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Carranza, Emmanuel John M.
Admission date
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2015-08-20T02:57:07Z
Available date
dc.date.available
2015-08-20T02:57:07Z
Publication date
dc.date.issued
2015
Cita de ítem
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Journal of Geochemical Exploration 149 (2015) 59–73
en_US
Identifier
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DOI: 10.1016/j.gexplo.2014.11.007
Identifier
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https://repositorio.uchile.cl/handle/2250/132952
General note
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Artículo de publicación ISI
en_US
Abstract
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The separation, identification and assessment of high-grade ore zones fromlow-grade ones are extremely important
in mining of metalliferous deposits. A technique that provides reliable results for those purposes is thus paramount
to mining engineers and geologists. In this paper, the simulated size–number (SS–N) fractal model,
which is an extension of the number–size (N–S) fractal model, was utilized for classification of parts of the Zaghia
iron deposit, located near Bafq City in Central Iran, based on borehole data.Weapplied thismodel to the output of
the turning bands simulationmethod using the data, and the resultswere comparedwith those of the application
of the concentration–volume (C–V) fractal model to the output of kriging of the data. The technique using the
SS–N model combined with turning bands simulation presents more reliable results compared to technique
using the C–V model combined with kriging since the former does not present smoothing effects. The grade variability
was classified in each mineralized zones defined by the SS–N and C–V models, based on which tonnage
cut-off models were generated. The tonnage cut-off obtained using the technique of combining turning bands
simulation and SS–N modeling is more reliable than that obtained using the technique of combining kriging
and C–V modeling.