Open Access
Issue
EPJ Nuclear Sci. Technol.
Volume 2, 2016
Article Number 17
Number of page(s) 12
DOI https://doi.org/10.1051/epjn/e2016-50058-x
Published online 08 April 2016
  1. A. Baschwitz, C. Loaec et al., Long-term prospective on the electronuclear fleet: from GEN II to GEN IV, in Global 2009: The nuclear fuel cycle: sustainable options & industrial perspectives , Paris, France (2009) [Google Scholar]
  2. S. Gabriel, A. Baschwitz et al., Building future nuclear power fleets: the available uranium resources constraint, Res. Pol. 38 , 458 (2013) [CrossRef] [Google Scholar]
  3. J.E. Tilton, B.J. Skinner, In The meaning of resources, edited by D.J. McLaren, B.J. Skinner, Resources and world development (John Wiley & Sons, New York, 1987) p. 13 [Google Scholar]
  4. J.E. Tilton, A. Yaksic, Using the cumulative availability curve to assess the threat of mineral depletion: the case of lithium, Res. Pol. 34 , 185 (2009) [CrossRef] [Google Scholar]
  5. OECD NEA, IAEA, Uranium 2014: resources, production and demand (OECD Nuclear Energy Agency, Paris, France, 2014), p. 508 [Google Scholar]
  6. E.A. Schneider, W.C. Sailor, Long-term uranium supply estimates, Nucl. Tech. 162 , 379 (2008) [CrossRef] [Google Scholar]
  7. I.A. Matthews, M.J. Driscoll, A probabilistic projection of long-term uranium resource costs (Massachusetts Institute of Technology, Cambridge, Massachusetts, 2010), p. 141 [Google Scholar]
  8. Massachusetts Institute of Technology, The future of nuclear fuel cycle an interdisciplinary MIT study (Massachusetts Institute of Technology, Cambridge, Massachusetts, 2011), p. 258 [Google Scholar]
  9. K. Deffeyes, I. Macgregor, Uranium distribution in mined deposits and in the earth's crust (Princeton University, Princeton, New Jersey, 1979), p. 509 [Google Scholar]
  10. World Information Service on Energy, WISE Uranium Project (website), WISE Uranium, http://www.wise-uranium.org/index.html (accessed: 03/2015) [Google Scholar]
  11. M.W. Drew, US uranium deposits: a geostatistical model, Res. Pol. 3 , 60 (1977) [CrossRef] [Google Scholar]
  12. M.L. Chavez-Martinez, A potential supply system for uranium based upon a crustal abundance model (University of Arizona, Tucson, Arizona, 1982), p. 491 [Google Scholar]
  13. D.P. Harris, Quantitative methods for the appraisal of mineral resources (University of Arizona, Tucson, Arizona, 1977), p. 862 [Google Scholar]
  14. D.P. Harris, Mineral resources appraisal: mineral endowment, resources, and potential supply: concepts, methods and cases (Oxford University Press, Oxford, UK, 1984) [Google Scholar]
  15. D.P. Harris, In Geostatistical crustal abundance resource models, edited by C.F. Chung, A.G. Fabbri, R. Sinding-Larsen, Quantitative analysis of mineral and energy resources (Springer, Netherlands, 1988) p. 459 [CrossRef] [Google Scholar]
  16. J.W. Brinck, MIMIC - The prediction of mineral resources and long-term price trends in the non-ferrous metal mining industry is no longer utopian, Eurospectra 10 , 46 (1971) [Google Scholar]
  17. J.W. Brinck, Calcul des ressources mondiales d’uranium, Bull. Communaute Eur. Energie At. 6 , 109 (1967) [Google Scholar]
  18. H.I. de Wolde, J.W. Brinck, The estimation of mineral resources by the computer program ‘IRIS’ (Commission of the European Communities, Luxembourg, 1971) [Google Scholar]
  19. D.A. Singer, Short course introduction to quantitative mineral resource assessments (US Geological Survey, Menlo Park, California, 2007) [Google Scholar]
  20. D.A. Singer, W.D. Menzie, Quantitative mineral resource assessments — An integrated approach (Oxford University Press, New York, 2010), p. 219 [Google Scholar]
  21. IAEA, World Distribution of Uranium Deposits (UDEPO) (website), https://infcis.iaea.org (extensive copy of the database accessed: 11/2013) [Google Scholar]
  22. K. Hans Wedepohl, The composition of the continental crust, Geochim. Cosmochim. Acta 59 , 1217 (1995) [CrossRef] [Google Scholar]
  23. UX Consulting, “UxC” (website), http://www.uxc.com (accessed: 03/2015) [Google Scholar]
  24. OECD NEA, IAEA, Uranium 2011: resources, production and demand (OECD Nuclear Energy Agency, Paris, France, 2012), p. 489 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.