Abstract
Mineral dissemination and pore space distribution in ore particles are important features that influence heap leaching performance. To quantify the mineral dissemination and pore space distribution of an ore particle, a cylindrical copper oxide ore sample (ϕ4.6 mm × 5.6 mm) was scanned using high-resolution X-ray computed tomography (HRXCT), a nondestructive imaging technology, at a spatial resolution of 4.85 μm. Combined with three-dimensional (3D) image analysis techniques, the main mineral phases and pore space were segmented and the volume fraction of each phase was calculated. In addition, the mass fraction of each mineral phase was estimated and the result was validated with that obtained using traditional techniques. Furthermore, the pore phase features, including the pore size distribution, pore surface area, pore fractal dimension, pore centerline, and the pore connectivity, were investigated quantitatively. The pore space analysis results indicate that the pore size distribution closely fits a log-normal distribution and that the pore space morphology is complicated, with a large surface area and low connectivity. This study demonstrates that the combination of HRXCT and 3D image analysis is an effective tool for acquiring 3D mineralogical and pore structural data.
Similar content being viewed by others
References
Y. Ghorbani, J.P. Franzidis, and J. Petersen, Heap leaching technology—current state, innovations, and future directions: A review, Miner. Process. Extr. Metall. Rev., 37(2016), No. 2, p. 73.
P.A. Kumar and R. Vengatasalam, Mineral beneficiation by heap leaching technique in mining, Procedia Earth Planet. Sci., 11(2015), p. 140.
J. Petersen, Heap leaching as a key technology for recovery of values from low-grade ores—A brief overview, Hydrometallurgy, 165(2015), p. 206.
Z. Peng, C. Duwig, P. Delmas, J.P. Gaudet, A.G. Strozzi, P. Charrier, and H. Denis, Visualization and characterization of heterogeneous water flow in double-porosity media by means of X-ray computed tomography, Transp. Porous Media, 110(2015), No. 3, p. 543.
F. San José Martínez, M.A. Martín, F.J. Caniego, M. Tuller, A. Guber, Y. Pachepsky, and C. García-Gutiérrez, Multifractal analysis of discretized X-ray CT images for the characterization of soil macropore structures, Geoderma, 156(2012), No. 1-2, p. 32.
L.J. Munkholm, R.J. Heck, and B. Deen, Soil pore characteristics assessed from X-ray micro-CT derived images and correlations to soil friability, Geoderma, 181-182(2012), p. 22.
R. Pini and C. Madonna, Moving across scales: a quantitative assessment of X-ray CT to measure the porosity of rocks, J. Porous Mater., 23(2016), No. 2, p. 325.
N. Bossa, P. Chaurand, J. Vicente, D. Borschneck, C. Levard, O. Aguerre-Chariol, and J. Rose, Micro- and nano- X-ray computed-tomography: A step forward in the characterization of the pore network of a leached cement paste, Cem. Concr. Res., 67(2015), p. 138.
I. Vlahinic, E. Andò, G. Viggiani, and J.E. Andrade, Towards a more accurate characterization of granular media: extracting quantitative descriptors from tomographic images, Granular Matter, 16(2014), No. 1, p. 9.
N. Dhawan, M.S. Safarzadeh, J.D. Miller, M.S. Moats, R.K. Rajamani, and C.L. Lin, Recent advances in the application of X-ray computed tomography in the analysis of heap leaching systems, Miner. Eng., 35(2012), No. 8, p. 75.
Q. Lin, D.J. Barker, K.J. Dobson, P.D. Lee, and S.J. Neethling, Modelling particle scale leach kinetics based on X-ray computed micro-tomography images, Hydrometallurgy, 162(2016), No. 6, p. 25.
Q. Lin, S.J. Neethling, L. Courtois, K.J. Dobson, and P.D. Lee, Multi-scale quantification of leaching performance using X-ray tomography, Hydrometallurgy, 164(2016), No. 9, p. 265.
J.D. Miller, C.L. Lin, C. Garcia, and H. Arias, Ultimate recovery in heap leaching operations as established from mineral exposure analysis by X-ray microtomography, Int. J. Miner. Process, 72(2003), No. 1-4, p. 331.
Y. Wang, C.L. Lin, and J.D. Miller, Improved 3D image segmentation for X-ray tomographic analysis of packed particle beds, Miner. Eng., 83(2015), No. 11, p. 185.
B.H. Yang, A.X. Wu, H.C. Jiang, and X.S. Chen, Evolvement of permeability of ore granular media during heap leaching based on image analysis, Trans. Nonferrous Met. Soc. China, 18(2008), No. 2, p. 426.
V. Cnudde and M.N. Boone, High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications, Earth Sci. Rev., 123(2013), p. 1.
J.R. Kyle and R.A. Ketcham, Application of high resolution X-ray computed tomography to mineral deposit origin, evaluation, and processing, Ore Geol. Rev., 65(2015), p. 821.
C.L. Evans, E.M. Wightman, and X. Yuan, Quantifying mineral grain size distributions for process modelling using X-ray micro-tomography, Miner. Eng., 82(2015), p. 78.
Y. Ghorbani, J. Petersen, M. Becker, A.N. Mainza, and J.P. Franzidis, Investigation and modelling of the progression of zinc leaching from large sphalerite ore particles, Hydrometallurgy, 131-132(2013), p. 8.
Y. Ghorbani, M. Becker, J. Petersen, S.H. Morar, A. Mainza, and J.P. Franzidis, Use of X-ray computed tomography to investigate crack distribution and mineral disseminatin in sphalerite ore particles, Miner. Eng., 24(2011), No. 12, p. 1249.
E. Charikinya, S. Bradshaw, and M. Becker, Characterising and quantifying microwave induced damage in coarse sphalerite ore particles, Miner. Eng., 82(2015), No. 10, p. 14.
S.G. Le Roux, A.D. Plessis, and A. Rozendaal, The quantitative analysis of tungsten ore using X-ray microCT: Case study, Comput. Geosci., 85(2015), No. 12, p. 75.
B. Godel, High-resolution X-ray computed tomography and its application to ore deposits: from data acquisition to quantitative three-dimensional measurements with case studies from Ni–Cu–PGE deposits, Econ. Geol., 108(2013), No. 8, p. 2005.
J. Liu, G.G. Pereira, and K. Regenauer-Lieb, From characterisation of pore-structures to simulations of pore-scale fluid flow and the upscaling of permeability using microtomography: A case study of heterogeneous carbonates, J. Geochem. Explor., 144(2014), p. 84.
B.H. Yang, A.X. Wu, X.X. Miao, and J.Z. Liu, 3D characterization and analysis of pore structure of packed ore particle beds based on computed tomography images, Trans. Nonferrous Met. Soc. China, 24(2014), No. 3, p. 833.
Acknowledgements
This work was financially supported by the National Natural Science Foundation of China (No. 51304076) and the Natural Science Foundation of Hunan Province, China (No. 14JJ4064).
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Yang, Bh., Wu, Ax., Narsilio, G.A. et al. Use of high-resolution X-ray computed tomography and 3D image analysis to quantify mineral dissemination and pore space in oxide copper ore particles. Int J Miner Metall Mater 24, 965–973 (2017). https://doi.org/10.1007/s12613-017-1484-4
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12613-017-1484-4