Combination of geostatistical simulation and fractal modeling for mineral resource classification

Behnam Sadeghi, Nasser Madani, Emmanuel John M. Carranza

Research output: Contribution to journalArticle

35 Citations (Scopus)

Abstract

The separation, identification and assessment of high-grade ore zones from low-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. We applied this model to the output of the turning bands simulation method using the data, and the results were compared with 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-offmodels were generated. The tonnage cut-offobtained 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.

Original languageEnglish
Pages (from-to)59-73
Number of pages15
JournalJournal of Geochemical Exploration
Volume149
DOIs
Publication statusPublished - Feb 1 2015
Externally publishedYes

Fingerprint

Mineral resources
mineral resource
Fractals
modeling
simulation
kriging
Iron deposits
ore grade
Boreholes
smoothing
Ores
borehole
Engineers
iron

Keywords

  • Fractal models
  • Gaussian turning bands simulation
  • Mineral resource classification
  • SS-N model

ASJC Scopus subject areas

  • Geochemistry and Petrology
  • Economic Geology

Cite this

Combination of geostatistical simulation and fractal modeling for mineral resource classification. / Sadeghi, Behnam; Madani, Nasser; Carranza, Emmanuel John M.

In: Journal of Geochemical Exploration, Vol. 149, 01.02.2015, p. 59-73.

Research output: Contribution to journalArticle

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