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Forecasting geoenvironmental risks: Integrated applications of mineralogical and chemical data

Citation

Parbhakar-Fox, A and Fox, N and Jackson, L and Cornelius, R, Forecasting geoenvironmental risks: Integrated applications of mineralogical and chemical data, Minerals, 8, (12) Article 541. ISSN 2075-163X (2018) [Refereed Article]


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Copyright 2018 The Authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0) https://creativecommons.org/licenses/by/4.0/

DOI: doi:10.3390/min8120541

Abstract

Management of solid mine wastes requires detailed material characterisation at the start of a project to minimize opportunities for the generation of acid and metalliferous drainage (AMD). Mine planning must focus on obtaining a thorough understanding of the environmental properties of the future waste rock materials. Using drill core obtained from a porphyry Cu project in Northern Europe, this study demonstrates the integrated application of mineralogical and geochemical data to enable the construction of enviro-geometallurgical models. Geoenvironmental core logging, static chemical testing, bulk-and hyperspectral mineralogical techniques, and calculated mineralogy from assay techniques were used to critically evaluate the potential for AMD formation. These techniques provide value-adding opportunities to existing datasets and provide robust cross-validation methods for each technique. A new geoenvironmental logging code and a new geoenvironmental index using hyperspectral mineralogical data (Hy-GI) were developed and embedded into the geochemistry-mineralogy-texture-geometallurgy (GMTG) approach for waste characterisation. This approach is recommended for new mining projects (i.e., early life-of-mine stages) to ensure accurate geoenvironmental forecasting, therefore facilitating the development of an effective waste management plan that minimizes geoenvironmental risks posed by the mined materials.

Item Details

Item Type:Refereed Article
Keywords:acid and metalliferous drainage, mine planning, waste rock, hyperspectral mineralogy, logging, calculated mineralogy, porphyry deposits, automated mineralogy, acid mine drainage, waste management, sulphide, mining
Research Division:Earth Sciences
Research Group:Geology
Research Field:Geology not elsewhere classified
Objective Division:Mineral Resources (excl. Energy Resources)
Objective Group:Mineral Exploration
Objective Field:Copper Ore Exploration
UTAS Author:Parbhakar-Fox, A (Dr Anita Parbhakar-Fox)
UTAS Author:Fox, N (Dr Nathan Fox)
UTAS Author:Jackson, L (Miss Laura Jackson)
UTAS Author:Cornelius, R (Miss Rebekah Cornelius)
ID Code:129634
Year Published:2018
Web of Science® Times Cited:1
Deposited By:CODES ARC
Deposited On:2018-12-11
Last Modified:2019-03-12
Downloads:54 View Download Statistics

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