Abstract
Advanced geophysical methods including high-resolution seismic surveying and novel borehole logging techniques have been launched at Heathgate to better quantify both hydro(geo)logical and geochemical conditions that determine the feasibility of in situ recovery (ISR) from sedimentary-hosted uranium. This data is the input to hydrological and reactive transport modeling to optimize well-field design and performance with regard to ore-lixiviant contact and leaching chemistry. The redox puzzle is solved for specific deposit characteristics by a new, practicable kinetic leach model providing control criteria for optimized recovery.
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References
Birch GR, Every CR, Märten HG, Marsland-Smith AB, Phillips R, Woods PH (2013) Bev-erley Uranium Mines, Heathgate Resources, Australasian Mining and Metallurgical Op-erating Practices, (Australasian Int. Min. Metall., Melbourne, Australia) 2: 1799-1818
LANL: X-5 Monte Carlo Team of the Los Alamos National Laboratory (2008/2014) MCNP – A General Monte Carlo N-Particle Transport Code, Version 5 (LA-UR-03-1987), April 24, 2003 (Revised 2/1/2008), latest software update 2014
Märten H (2011), Phillips R, Woods P (2011) New Uranium ISR Satellites at Beverley North, South Australia. The New Uranium Mining Boom, Challenge and Lessons learned, Editors Merkel B, Schipek M, Springer: 23-30
USGS (2014) http://wwwbrr.cr.usgs.gov/projects/GWC_coupled/phreeqc/
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Märten, H., Smith, A.M., Ross, J., Haschke, M., Kalka, H., Schubert, J. (2015). Optimization of Uranium In-situ Recovery Based on Advanced Geophysical Surveying and Borehole Logging Technologies. In: Merkel, B., Arab, A. (eds) Uranium - Past and Future Challenges. Springer, Cham. https://doi.org/10.1007/978-3-319-11059-2_12
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DOI: https://doi.org/10.1007/978-3-319-11059-2_12
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