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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lopes, J. A. Rosas, C. F. Fernandes, J. B. Vanzela, G. A. |
| Copyright Year | 2011 |
| Abstract | The risk quantification in grade-tonnage curves is critical for capital investment in mining projects. Geostatistical simulations for orebodies can be used to obtain grade-tonnage curves, and determine uncertainty and risk assessments. Applying these in multi-element deposits can be a difficult practice, as the related attributes using the traditional co-simulation approaches require intensive computational work and may be impractical for use in the mineral industry. This paper presents the risk assessment for integrating grade-tonnage curves and resources categorization for lateritic nickel deposits in the central region of Brazil, by joint simulation of multiple correlated variables of interest: Ni, MgO and SiO$_{2}$. The joint simulation of these variables is based on Minimum/Maximum Autocorrelation Factors (MAF). Based on this approach, the resources are categorized honoring Ni joint simulated results by applying the 15 % rule, where it is considered there will be a statistical error < 15 %, with 90 % of a confidence interval per production period. |
| Starting Page | 166 |
| Ending Page | 176 |
| Page Count | 11 |
| File Format | |
| ISSN | 10627391 |
| Journal | Journal of Mining Science |
| Volume Number | 47 |
| Issue Number | 2 |
| e-ISSN | 15738736 |
| Language | English |
| Publisher | SP MAIK Nauka/Interperiodica |
| Publisher Date | 2011-07-19 |
| Publisher Place | Dordrecht |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Grade-tonnage curves lateritic nickel min/max autocorrelation factors resource categorization risk Mineral Resources Geophysics/Geodesy Geotechnical Engineering Mathematical Applications in Earth Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Geology Geotechnical Engineering and Engineering Geology |
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