tailieunhanh - Statistical model of global uranium resources and long-term availability

In this paper, we describe a methodology based on “geological environments”. It provides a more detailed resource estimation and it is more flexible regarding cost modelling. The global uranium resource estimation introduced in this paper results from the sum of independent resource estimations from different geological environments. | Statistical model of global uranium resources and long-term availability EPJ Nuclear Sci. Technol. 2 17 2016 Nuclear Sciences A. Monnet et al. published by EDP Sciences 2016 amp Technologies DOI epjn e2016-50058-x Available online at http REGULAR ARTICLE Statistical model of global uranium resources and long-term availability Antoine Monnet1 Sophie Gabriel1 and Jacques Percebois2 1 French Alternative Energies and Atomic Energy Commission I-tésé CEA DEN Université Paris Saclay 91191 Gif-sur-Yvette France 2 Université Montpellier 1 UFR d Économie CREDEN Art-Dev UMR CNRS 5281 Avenue Raymond Dugrand CS 79606 34960 Montpellier France Received 25 September 2015 Received in final form 5 January 2016 Accepted 19 January 2016 Published online 8 April 2016 Abstract. Most recent studies on the long-term supply of uranium make simplistic assumptions on the available resources and their production costs. Some consider the whole uranium quantities in the Earth s crust and then estimate the production costs based on the ore grade only disregarding the size of ore bodies and the mining techniques. Other studies consider the resources reported by countries for a given cost category disregarding undiscovered or unreported quantities. In both cases the resource estimations are sorted following a cost merit order. In this paper we describe a methodology based on geological environments . It provides a more detailed resource estimation and it is more flexible regarding cost modelling. The global uranium resource estimation introduced in this paper results from the sum of independent resource estimations from different geological environments. A geological environment is defined by its own geographical boundaries resource dispersion average grade and size of ore bodies and their variance and cost function. With this definition uranium resources are considered within ore bodies. The deposit breakdown of resources is modelled using a bivariate statistical approach .

• Năng lượng
• Global uranium resources
• Long term availability
• Long term supply
• Subset based estimation
• Long term cumulative supply curves