Towards the development of an integrated modelling framework underpinned by mineralogy

Abstract The minerals industry is currently facing numerous multifaceted challenges spanning the techno-economic, environmental and social spheres. The adoption of sustainability thinking is a holistic approach to addressing these challenges and their relative interactions, rather than just focusing on individual units and processes. The ability to do so requires an integrated modelling framework underpinned by mineralogy, so that the effect of ore complexity and variability on one or more of these factors can be simultaneously evaluated and optimised. This study focuses on the steps towards the development of an integrated framework using a case study of a polymetallic sulfide ore flotation circuit. A unique ore specific element to mineral conversion recipe (EMC) was developed and validated, and after subsequent mass balancing across the circuit allowed the calculation of mineral grade and recovery throughout. By application of a set of mineral mass distribution functions across the circuit, and including a simple mineral-based model for the determination of tailings ARD potential, the integrated framework is used for scenario analysis. Two different scenarios are presented: the first considering the balance between improving copper concentrate product quality at the expense of increasing tailings ARD potential, and the second considering the effect of feed ore variability on tailings ARD potential. The framework provides a conceptual starting point for a new approach to traditional process mineralogy studies to start practising sustainability thinking.

[1]  A. D. Paktunc,et al.  Mineralogical constraints on the determination of neutralization potential and prediction of acid mine drainage , 1999 .

[2]  Emmanuel Manlapig,et al.  Designing mine tailings for better environmental, social and economic outcomes: a review of alternative approaches , 2014 .

[3]  Ata Akcil,et al.  Acid Mine Drainage (AMD): causes, treatment and case studies , 2006 .

[4]  Douglas G. Brookins,et al.  Eh-PH diagrams for geochemistry , 1988 .

[5]  Luis A. Cisternas,et al.  Design of Flotation Circuits Including Uncertainty and Water Efficiency , 2012 .

[6]  Edelmira D. Gálvez,et al.  Modeling of grinding and classification circuits as applied to the design of flotation processes , 2009, Comput. Chem. Eng..

[7]  R. W. Lawrence,et al.  A method to calculate the neutralization potential of mining wastes , 1997 .

[8]  J-P. Franzidis,et al.  Mitigating acid rock drainage risks while recovering low-sulfur coal from ultrafine colliery wastes using froth flotation , 2012 .

[9]  M. F. Young,et al.  Designing flotation circuits for high fines recovery , 2006 .

[10]  T. Prior,et al.  Resource depletion, peak minerals and the implications for sustainable resource management , 2012 .

[11]  A. Dogan Paktunc,et al.  MODAN: an interactive computer program for estimating mineral quantities based on bulk composition , 1998 .

[12]  Mostafa Benzaazoua,et al.  Prediction of Acid Mine Drainage: Importance of Mineralogy and the Test Protocols for Static and Kinetic Tests , 2014, Mine Water and the Environment.

[13]  Cecilia Lund,et al.  Practical way to quantify minerals from chemical assays at Malmberget iron ore operations – An important tool for the geometallurgical program , 2013 .

[14]  Dee Bradshaw,et al.  Integration of mineralogical attributes in evaluating sustainability indicators of a magnetic separator , 2017 .

[15]  Dee Bradshaw,et al.  The role of 'process mineralogy' in improving the process performance of complex sulphide ores , 2014 .

[16]  Suvania Naidoo.  Acid Mine Drainage in South Africa: Development Actors, Policy Impacts, and Broader Implications , 2017 .

[17]  Bernd G. Lottermoser,et al.  Mine Wastes: Characterization, Treatment and Environmental Impacts , 2003 .

[18]  W. Baum,et al.  Ore characterization, process mineralogy and lab automation a roadmap for future mining , 2014 .

[19]  J. L. Broadhurst,et al.  Mitigating the generation of acid mine drainage from copper sulfide tailings impoundments in perpetuity: A case study for an integrated management strategy , 2010 .

[20]  Jan Rosenkranz,et al.  Building a Geometallurgical Model in Iron Ores using a Mineralogical Approach with Liberation Data , 2013 .

[21]  M. Benzaazoua,et al.  Static tests response on 5 Canadian hard rock mine tailings with low net acid-generating potentials , 2012 .

[22]  Ying Gu,et al.  The value of automated mineralogy , 2014 .

[23]  Rens Verburg,et al.  INAP'S GLOBAL ACID ROCK DRAINAGE GUIDE AND THE CURRENT STATE OF ACID ROCK DRAINAGE ASSESSMENT & MANAGEMENT IN SOUTH AFRICA , 2009 .

[24]  G. Mudd.  The Environmental sustainability of mining in Australia: key mega-trends and looming constraints , 2010 .

[25]  C. L. Evans,et al.  Automated scanning electron microscopy with energy dispersive spectrometry , 2016 .

[26]  Malcolm Powell.  Utilising orebody knowledge to improve comminution circuit design and energy utilisation , 2013 .

[27]  George M. Ochieng,et al.  Impacts of mining on water resources in South Africa: A review , 2010 .

[28]  Adisa Azapagic,et al.  A Methodology for Integrating Sustainability Considerations into Process Design , 2006 .

[29]  Bill Whiten,et al.  CALCULATION OF MINERAL COMPOSITION FROM CHEMICAL ASSAYS , 2007 .

[30]  Francis F. Pitard,et al.  Pierre Gy's Sampling Theory and Sampling Practice. Heterogeneity, Sampling Correctness, and Statistical Process Control , 1993 .

[31]  Anita Parbhakar-Fox,et al.  A critical review of acid rock drainage prediction methods and practices , 2015 .

[32]  Bernhard Dold,et al.  Acid rock drainage prediction: A critical review , 2017 .

[33]  Ralph J. Holmes,et al.  Correct sampling and measurement—the foundation of accurate metallurgical accounting , 2004 .

[34]  Edelmira D. Gálvez,et al.  Arsenic-rejection flotation circuit design and selection based on a multiple-objective evaluation , 2013 .

[35]  J-P. Franzidis,et al.  A mineralogical approach to evaluating laboratory scale acid rock drainage characterisation tests , 2015 .

[36]  Mati Raudsepp,et al.  Static tests of neutralization potentials of silicate and aluminosilicate minerals , 2002 .

[37]  Anita Parbhakar-Fox,et al.  Development of a textural index for the prediction of acid rock drainage , 2011 .

[38]  Raymond Goldie,et al.  Net Smelter Return Models and Their Use in the Exploration, Evaluation and Exploitation of Polymetallic Deposits , 1991 .