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Intrinsic neutralisation potential from automated drillcore logging for improved geoenvironmental domaining


Jackson, L and Parbhakar-Fox, A and Fox, N and Cooke, DR and Harris, AC and Savinova, E, Intrinsic neutralisation potential from automated drillcore logging for improved geoenvironmental domaining, Proceedings of the Ninth Australian Workshop on Acid and Metalliferous Drainage, 20-23 November, Burnie, Tasmania, pp. 378-392. (2017) [Refereed Conference Paper]

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Copyright 2017 Sustainable Minerals Institute, The University of Queensland

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Hyperspectral analysis integrating near-infrared (NIR), shortwave infrared (SWIR) and longwave infrared (LWIR) spectrometry can accurately identify carbonate-, silicate and serpentine-group minerals. Significantly these mineral-groups offer short and long term neutralising capacity respectively in a range of mine waste environments. Routine hyperspectral mineral analysis is increasingly used for geometallurgical and geological domaining of ore deposits, however the mineralogical information obtained is rarely used for deposit-scale geoenvironmental characterisation. Evaluating the location, volume, and chemistry of neutralising gangue materials early in the mine planning process will permit prudent economic forecasting with regards to mine closure and beyond. By accurately identifying carbonate, silicate and serpentine minerals in low (or below) grade material, their use within rock and tailings storage facilities can be appropriately determined helps to alleviate the need to acquire costly neutralising materials particularly at the time of mine closure.

This study focusses on using data generated by hyperspectral mineralogy platforms to develop geoenvironmental domaining algorithms. Seven drill holes from a porphyry Au-Cu deposit were analysed, with hyperspectral results validated against established geoenvironmental characterisation tests (including acid base accounting and X-ray diffractometry). These data show that neutralising characteristics of differing alteration types can be predicted accurately from hyperspectral data. Furthermore, when used in conjunction with NAG pH and these data can be used to precisely identify neutralising zones.

Item Details

Item Type:Refereed Conference Paper
Keywords:acid mine drainage, waste management, sulphide, mining, mine planning
Research Division:Earth Sciences
Research Group:Geochemistry
Research Field:Exploration geochemistry
Objective Division:Environmental Management
Objective Group:Terrestrial systems and management
Objective Field:Evaluation, allocation, and impacts of land use
UTAS Author:Jackson, L (Miss Laura Jackson)
UTAS Author:Parbhakar-Fox, A (Dr Anita Parbhakar-Fox)
UTAS Author:Fox, N (Dr Nathan Fox)
UTAS Author:Cooke, DR (Professor David Cooke)
ID Code:122221
Year Published:2017
Deposited By:CODES ARC
Deposited On:2017-11-06
Last Modified:2020-10-21
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