Discussion - Comparison of Different Ore Reserve Estimation Methods Using Conditional Simulation – Technical Papers, MINING ENGINEERING, Vol. 35, No. 12, December 1983, pp. 1646-1650 – Baafi, E. Y. and Kim, Y. C.

The American Institute of Mining, Metallurgical, and Petroleum Engineers
M. S. Azun
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The American Institute of Mining, Metallurgical, and Petroleum Engineers
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Publication Date:
Jan 1, 1985

Abstract

The article unfortunately has some serious flaws negating the usefulness of the paper. The authors claim that kriging (linear kriging) is superior to other methods such as polygon. This is not the case. The deterministic methods (referring to polygon, ID, IDS, etc.) should not be compared with the statistical methods (linear kriging, disjunctive kriging, etc.) because they differ not only in their assumptions, but also their tools used in estimation. Thus, they give different results. By comparing the results of deterministic methods and linear kriging, the authors conclude that polygon, IDS, and linear kriging give an average thickness close to the value obtained from realizations. Besides, they argue that linear kriging gives less variance than the others [(fig. 2)]. The first conclusion is expected, due to the well-known central limit theorem. The second is the result of the statistical properties of different estimators. Thus, the comparison presented in the paper is rather meaningless because the authors have failed to follow basic statistical procedures. The numerical results of different approaches to an estimation problem cannot be generalized. In conclusion, the paper is not a meaningful contribution, and sadly, quite erroneous.
Citation

APA: M. S. Azun  (1985)  Discussion - Comparison of Different Ore Reserve Estimation Methods Using Conditional Simulation – Technical Papers, MINING ENGINEERING, Vol. 35, No. 12, December 1983, pp. 1646-1650 – Baafi, E. Y. and Kim, Y. C.

MLA: M. S. Azun Discussion - Comparison of Different Ore Reserve Estimation Methods Using Conditional Simulation – Technical Papers, MINING ENGINEERING, Vol. 35, No. 12, December 1983, pp. 1646-1650 – Baafi, E. Y. and Kim, Y. C.. The American Institute of Mining, Metallurgical, and Petroleum Engineers, 1985.

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