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Conference Proceedings

Third AusIMM International Geometallurgy Conference 2016

Conference Proceedings

Third AusIMM International Geometallurgy Conference 2016

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Characterisation of Gold Ore from the Nick O'Time Shoot (Tarnagulla, Australia) Using High Resolution X-ray Computed Tomography

Geometallurgical programs require the collection of representative samples for geochemical, mineralogical and metallurgical test work. Such protocols must be designed to suit the style of orebody in question. The distribution, proportion and size of gold particles have a direct impact on the effectiveness of sampling and test work protocols, and the gold recovery processes employed. Characterisation studies focusing on ore mineralogy, and gold particle deportment, size and distribution are required. High resolution X-ray computed tomography provides a non-destructive method for analysing the 3D nature of gold in rock samples. It can be used to calculate the modal abundance, particle size and distribution of gold in the sample volume. This paper presents a case study of the imaging of in situ gold particles in a high-grade gold ore. The Nick O'Time reef system comprises laminated quartz veins, which locally bear extreme grades of up to 100 oz/t gold. The mineralisation has previously been characterised from both a mineralogical and metallurgical perspective. Eight visible gold-bearing vein samples were scanned using X-ray microtomography. Microtomographic data were integrated with previous mineralogical and metallurgical test work outputs._x000D_
CITATION: Dominy, S C, Platten, I M, Xie, Y, Cuffley, B W and O'Connor, L, 2016. Characterisation of Gold Ore from the Nick O'Time Shoot (Tarnagulla, Australia) Using High Resolution X-ray Computed Tomography, in Proceedings The Third AusIMM International Geometallurgy Conference (GeoMet) 2016, pp 241-254 (The Australasian Institute of Mining and Metallurgy: Melbourne).
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  • Characterisation of Gold Ore from the Nick O'Time Shoot (Tarnagulla, Australia) Using High Resolution X-ray Computed Tomography
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  • Published: 2016
  • PDF Size: 30.302 Mb.
  • Unique ID: P201603027

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