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Quantification des incertitudes d'une exploitation d'un gisement d'uranium par Récupération In Situ

Abstract : Uranium In Situ Recovery (ISR) is based on the direct leaching of the uranium ore in the deposit by a mining solution. Fluid flow and geochemical reaction in the reservoir are difficult to predict due to geological, petrophysical and geochemical uncertainties. The reactive transport simulation code used to model ISR is very sensitive to the spatial distribution of the physical and chemical properties of the deposit. Geostatistical models are used to represent the uncertainty of the spatial distribution of geological properties. The direct propagation of geological uncertainties by multiple ISR mining simulations is intractable in an industrial context. This work presents a way to propagate geological uncertainties into uranium production uncertainties at a reduced computational cost, thanks to a scenario reduction method. A subset of geostatistical simulations is built to approximate the variability of a larger set. The selection is obtained using a proxy of reactive transport simulation. The main contribution of this work is the development of different proxys to approximate the uranium leaching. They allow the discrimination of geostatistical realizations in terms of potential uranium production.Then, the ISR simulation carried out with the selected geostatistical realizations gives an approximation of the uranium production variability over the whole set of geostatistical simulations. This approximation is then used to quantify the uncertainties on the uranium production. The proposed approach is assessed on real case studies. Finally, the propagation of the uranium production uncertainty, assessed by the scenario reduction method, on mining operation planning is developped. Furthermore, an exploratory work about the use of statistical meta-models as chemistry solvers is also presented.
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Submitted on : Tuesday, January 11, 2022 - 8:31:10 AM
Last modification on : Thursday, January 13, 2022 - 3:44:04 AM
Long-term archiving on: : Tuesday, April 12, 2022 - 6:35:41 PM


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  • HAL Id : tel-03520381, version 1


Jean Langanay. Quantification des incertitudes d'une exploitation d'un gisement d'uranium par Récupération In Situ. Ingénierie de l'environnement. Université Paris sciences et lettres, 2021. Français. ⟨NNT : 2021UPSLM035⟩. ⟨tel-03520381⟩



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