Risk quantification with combined use of lithological and grade simulations: Application to a porphyry copper deposit |
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| Affiliation: | 1. Department of Mining Engineering, University of Tehran, Iran;2. Faculty of Health, Engineering and Science, Edith Cowan University, Perth, Australia;3. Department of Mining Engineering, University of Chile, Santiago, Chile;4. Advanced Mining Technology Center, University of Chile, Santiago, Chile;1. Department of Geology, Payame Noor University, PO Box 19395-3697, Tehran, Iran;2. Department of Geology, Faculty of Science, Shahid Bahonar University, Kerman, Iran;1. Institute of Geophysics, China Earthquake Administration, 100081, Beijing, China;2. Centre for Tectonics, Resources and Exploration, Department of Earth Sciences, School of Physical Sciences, University of Adelaide, SA 5005, Australia;3. School of Earth Sciences and Resources, China University of Geosciences, 100083 Beijing, China;1. MLR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, 26 Baiwanzhuang Road, Beijing 100037, China;2. Centre for Exploration Targeting, ARC Centre of Excellence for Core to Crust Fluid Systems, The University of Western Australia, Crawley, WA 6009, Australia;3. Faculty of Earth Sciences, China University of Geosciences, Wuhan 430074, China;1. Department of Geochemistry and Ore-Forming Processes, A.N. Zavaritsky Institute of Geology and Geochemistry, the Uralian Branch of Russian Academy of Sciences, Pochtovy per. 7, Ekaterinburg 620075, Russia;2. Department of Civil and Environmental Engineering, University of Strathclyde, Glasgow G4 0NG, United Kingdom;3. ARC Centre of Excellence for Core to Crust Fluid Systems/GEMOC Key Centre, Department of Earth and Planetary Sciences, Macquarie University, Sydney, NSW 2109, Australia;4. Department of General and Analytical Chemistry, University of Leoben, Leoben 8700, Austria;1. Department of Earth Sciences, Stellenbosch University, South Africa;2. Rockwater Consulting Namibia, PO Box 27344, Windhoek, Namibia;3. International Base Metals Limited, 47 Neridah Street, Chatswood NSW 2057, Australia;4. Craton Mining and Explorations, PO Box 81136, Olympia, Windhoek, Namibia |
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| Abstract: | The uncertainty in the recoverable tonnages and grades in a mineral deposit is a key factor in the decision-making process of a mining project. Currently, the most prevalent approach to model the uncertainty in the spatial distribution of mineral grades is to divide the deposit into domains based on geological interpretation and to predict the grades within each domain separately. This approach defines just one interpretation of the geological domain layout and does not offer any measure of the uncertainty in the position of the domain boundaries and in the mineral grades. This uncertainty can be evaluated by use of geostatistical simulation methods. The aim of this study is to evaluate how the simulation of rock type domains and grades affects the resources model of Sungun porphyry copper deposit, northwestern Iran. Specifically, three main rock type domains (porphyry, skarn and late-injected dykes) that control the copper grade distribution are simulated over the region of interest using the plurigaussian model. The copper grades are then simulated in cascade, generating one grade realization for each rock type realization. The simulated grades are finally compared to those obtained using traditional approaches against production data. |
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