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

  • GEOINFORMATION SCIENCE
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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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Authors and Affiliations

  1. Department of Mining Engineering, Shahid Bahonar University of Kerman, Kerman, Iran

    S. J. Mousavi & M. Shayestehfar

  2. Department of Mining and Metallurgical Engineering, Amirkabir University of Technology, Tehran, Iran

    P. Moarefvand

Authors
  1. S. J. Mousavi
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  2. M. Shayestehfar
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  3. P. Moarefvand
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Correspondence to S. J. Mousavi.

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Translated from Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2022, No. 1, pp. 182-191. https://doi.org/10.15372/FTPRPI20220119.

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Mousavi, S.J., Shayestehfar, M. & Moarefvand, P. Comparison of Various Estimation and Simulation Methods for Orebody Grade Variations Modeling. J Min Sci 58, 163–172 (2022). https://doi.org/10.1134/S1062739122010197

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  • DOI: https://doi.org/10.1134/S1062739122010197

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