Comparison of Various Estimation and Simulation Methods for Orebody Grade Variations Modeling

Comparison of Various Estimation and Simulation Methods for Orebody Grade Variations Modeling

Estimation of iron ore grade distribution has been done using geostatistics and Artificial Neural Network (ANN) models for an iron ore body in Central Iran. The methods implemented include Ordinary Kriging (OK), Sequential Gaussian Simulation (SGS) and ANN. A comparison of the estimates from these t...

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Veröffentlicht in:Journal of mining science 2022, Vol.58 (1), p.163-172
Hauptverfasser: Mousavi, S. J., Shayestehfar, M., Moarefvand, P.
Format: Artikel
Sprache:eng
Schlagworte:
Analysis
Artificial neural networks
Earth and Environmental Science
Earth Sciences
Estimates
Geoinformation Science
Geophysics/Geodesy
Geostatistics
Geotechnical Engineering & Applied Earth Sciences
Iron
Iron ores
Methods
Mineral industry
Mineral Resources
Mining industry
Neural networks
Simulation
Simulation methods
Statistical methods
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Zusammenfassung:Estimation of iron ore grade distribution has been done using geostatistics and Artificial Neural Network (ANN) models for an iron ore body in Central Iran. The methods implemented include Ordinary Kriging (OK), Sequential Gaussian Simulation (SGS) and ANN. A comparison of the estimates from these techniques was done to investigate which method gives more accurate estimates
ISSN:1062-7391
1573-8736
DOI:10.1134/S1062739122010197