Practical application of a multi-layer scorecard workflow (MLSW) for comprehensive mineral resource classification-Reference-Cited by-同舟云学术

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Practical application of a multi-layer scorecard workflow (MLSW) for comprehensive mineral resource classification

Published:2023-08-14 Issue:3-4 Volume:132 Page:216-226
ISSN:2572-6838
Container-title:Applied Earth Science
language:en
Short-container-title:Applied Earth Science

Author:

Rocha V.¹^ORCID,A. Bassani M. A.¹^ORCID

Affiliation:

1. Mining Engineering Department, Federal University of Rio Grande do Sul, Porto Alegre, Brazil

Publisher

SAGE Publications

Subject

Earth and Planetary Sciences (miscellaneous),Geochemistry and Petrology,Geotechnical Engineering and Engineering Geology

Link

https://www.tandfonline.com/doi/pdf/10.1080/25726838.2023.2244775

Reference21 articles.

1. Amorim LQ, Ribeiro DT. 1996. An useful ore reserve classification criterion based on indicator kriging. In: Hennies W.T., da Silva L.A., Chaves A.P., editor. Proceedings of mine planning and equipment selection. Rotterdam: Balkema; p. 117–121.

2. CRIRSCO. 2013. International reporting template for the public reporting of exploration results mineral resources and mineral reserves.

3. The slope of regression for kriging estimators;Deutsch CV.;Centre Comput Geostat,2007

4. Checks and measures of performance for kriging estimates;Deutsch JL;J South Afr Inst Min Metall,2014

5. Development of a best-practice mineral resource classification system for the De Beers group of companies

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