Characterization of Ore-Forming Systems – Advances and Challenges
Total Page:16
File Type:pdf, Size:1020Kb
Characterization of ore-forming systems – advances and challenges KLAUS GESSNER1*, TOM BLENKINSOP2 & PETER SORJONEN-WARD3 1Geological Survey of Western Australia, 100 Plain Street, East Perth, WA 6004, Australia 2School of Earth and Ocean Science, Cardiff University, Main Building, Park Place, Cardiff CF10 3AT, UK 3Geological Survey of Finland, PO Box 1237, FI-70211 Kuopio, Finland *Correspondence: [email protected] Abstract: Economically viable concentrations of mineral resources are uncommon among the predominantly silicate-dominated rocks in Earth’s crust. Most ore deposits that were mined in the past or are currently being extracted were found at or near Earth’s surface, often serendipi- tously. To meet the future demand for mineral resources, exploration success hinges on identifying targets at depth, which, on the one hand, requires advances in detection and interpretation tech- niques for geophysical and geochemical data. On the other hand, however, our knowledge of the chain of events that lead to ore deposit formation is limited. As geoscience embraces an inte- grated Earth systems approach, considering the geodynamic context of ore deposits can provide a step change in understanding why, how, when and where geological systems become ore-forming systems. Contributions to this volume address the future resources challenge by: (i) applying advanced microscale geochemical detection and characterization methods; (ii) introducing more rigorous 3D Earth models; (iii) exploring critical behaviour and coupled processes; (iv) evaluating the role of geodynamic and tectonic setting; and (v) applying 3D structural models to characterize specific ore-forming systems. Gold Open Access: This article is published under the terms of the CC-BY 3.0 license. Economically viable concentrations of mineral delineate new mineral reserves, while developing resources are not common among the predomi- resource projects responsibly from economic, envi- nantly silicate rocks that formed Earth’s crust: ronmental and social perspectives (e.g. Herrington rock is everywhere, but ore deposits are rare! Explo- 2013; Vidal et al. 2013; Nansai et al. 2014; Sahu ration for mineral resources and their extraction has et al. 2015; World Economic Forum 2015; Nurmi been an essential aspect of human society since pre- 2017). historic times, whether, nomadic, agrarian rural or Accordingly, future exploration targeting will urban: archaeological insights into early civiliza- need to focus on either novel pathways for exploit- tions depend largely on the discovery and analysis ing lower-grade and complex or previously intrac- of stone, ceramic and metal implements, and resi- table deposits, or improving technologies for dential dwellings and monuments. The overwhelm- detection and discovery at depth. In the former case, ing majority of mineral deposits that were mined in competing and, in some cases, conflicting priorities the past, or are being extracted currently, were found for land, energy and water access can be anticipated, at or near the Earth’s surface, and only very few compounded by environmental concerns, as the discoveries resulted from a structured search under- mining of lower-grade ores will typically require pinned by scientific methods (e.g. Hronsky & large-scale open-pit operations. Conversely, the Groves 2008).With a growing global population search for high-grade mineral resources at depth aspiring to the same levels of material affluence requires more informed integration of data in mature enjoyed by prosperous post-industrial societies, it is mining districts (e.g. Grunsky 2010), as well as inevitable that demand for mineral resources in exploration techniques facilitating deep discovery energy generation, building and manufacturing will in areas where the signatures of prospective targets continue to increase (Sykes et al. 2016; Ali et al. are obscured beneath overlying rock units, such as 2017; Arndt et al. 2017). There is, therefore, an regolith or sedimentary basins (Butt et al. 2000; urgent need to improve exploration success and Schodde 2014). From:Gessner, K., Blenkinsop,T.G.&Sorjonen-Ward, P. (eds) 2018. Characterization of Ore-Forming Systems from Geological, Geochemical and Geophysical Studies. Geological Society, London, Special Publications, 453,1–6. First published online April 23, 2018, https://doi.org/10.1144/SP453.16 # 2018 The Author(s). Published by The Geological Society of London. Publishing disclaimer: www.geolsoc.org.uk/pub_ethics Downloaded from http://pubs.geoscienceworld.org/books/book/chapter-pdf/4454731/01_sp453-2013.pdf by guest on 27 September 2021 2 K. GESSNER ET AL. Although the development of high-tech methods tomography, combined with trace-element mapping in exploration, production and mineral processing is can be applied to ore deposit studies to constrain likely to have a significant impact on exploration macroscopic processes within mineral systems. success and production economics, the geological Based on case studies of mineralization at Sunrise understanding of how, when and where dynamic Dam Gold Mine and the Mount Keith Ni-sulphide Earth systems become ore-forming systems poses deposit in Western Australia, the authors find that a formidable scientific challenge in itself. Ore an increasing use of microanalysis and the combina- deposits are often the product of a complex interplay tion of micro- and macroscale datasets in ore deposit between coupled physical processes with evolving geology allow constant reassessment of established geological structure (Gessner et al. 2009; Ord models for ore genesis. et al. 2012). A number of ‘mineral system’ studies have explored the genetic links between the dyna- mic Earth systems that shape and modify the com- Development of more rigorous 3D position and structure of lithospheric domains and Earth models the mineral deposits that formed within them. In the mineral systems approach, the spatial extent of To target mineralization and develop resource pro- heat and mass transport is considered from the per- jects requires accurate models of the Earth’s crust spective of geodynamic driving processes of mag- and the ore-forming systems within it. Such models matism and crustal-scale hydrothermal fluid flow can never be exact due to inherent data paucity, but (Wyborn et al. 1994; McCuaig & Hronsky 2014; they do need to be consistent with all available geo- Huston et al. 2016; Occhipinti et al. 2016). This logical and geophysical information. In addition to geodynamic perspective is warranted, as fluids in containing the best available spatial information, tectonic settings such as subduction and rifting can models should include an understanding of the be part of planetary-scale transport cycles (e.g. time dimension. One important problem is the Kelemen & Manning 2015; Foley & Fischer 2017). inherent uncertainties in these models. Furthermore, lithospheric domains and the struc- In ‘Uncertainty estimation for a geological model tures bounding them can be important for melt and of the Sandstone greenstone belt, Western Australia fluid fertility (e.g. Bierlein et al. 2006; Griffin – insights from integrated geological and geophys- et al. 2013; McCuaig & Hronsky 2014; Mole et al. ical inversion in a Bayesian inference framework’, 2014). Overall, the more ‘deterministic’ mineral Wellmann et al. (2017) provide a novel quantitative systems approach complements more traditional, approach explicitly addressing uncertainty and opti- ‘empirical’, deposit-type-based approaches that mization by integrating structural, geological and use mineralogical, geochemical and structural char- geophysical data using probabilistic programming. acteristics to classify deposits (e.g. Cox & Singer In an application to a gold-bearing greenstone belt 1986; Hedenquist et al. 2005). This Special Publica- in Western Australia, they show that additional tion contains contributions to five research themes data integration significantly reduces uncertainties on the frontiers of mineral exploration: (i) advanced in the final model. microscale geochemical detection and characteriza- In their paper ‘Geologically driven 3D model- tion methods; (ii) development of more rigorous ling of physical rock properties in support of 3D Earth models; (iii) critical behaviour and cou- interpreting the seismic response of the Lalor volca- pled processes; (iv) the role of geodynamic and tec- nogenic massive sulphide deposit, Snow Lake, tonic setting; and (v) the application of 3D structural Manitoba, Canada’, Schetselaar et al. (2017) gener- modelling to characterize specific ore-forming ated lithofacies and physical rock property models systems. to interpret 3D seismic data from the Lalor volcano- genic massive sulphide deposit, Manitoba, Canada. The authors found that kriging of P-wave velocity Advanced microscale geochemical detection and density conditioned by curvilinear grids gener- and characterization methods ated seismic synthetics that better matched the acquired data than properties forward-modelled in The development of new microscale analytical Cartesian space. They also found the physical rock methods and their application is an important contri- property modelling methodology useful to assess bution to better characterize ore-forming systems. In the limitations of their discrete model. their paper ‘Microscale data to macroscale pro- cesses: a review of microcharacterization applied to Critical behaviour and coupled processes mineral systems’, Pearce et al. (2017) explore how innovations in microanalytical