Comparison of Various Estimation and Simulation Methods for Orebody Grade Variations Modeling
S. J. Mousavi1, M. Shayestehfar1, P. Moarefvand2
1Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman, Iran
2Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran
Keywords: Geostatistics, Ordinary Kriging, Sequential Gaussian Simulation, Artificial Neural Network, Lake Siah, Iran
Abstract
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.
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