ORCID Profile
0000-0002-5547-3396
Current Organisation
University of Tasmania
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In Research Link Australia (RLA), "Research Topics" refer to ANZSRC FOR and SEO codes. These topics are either sourced from ANZSRC FOR and SEO codes listed in researchers' related grants or generated by a large language model (LLM) based on their publications.
Geology | Ore Deposit Petrology | Igneous And Metamorphic Petrology | Ore Deposit Petrology | Mineral Processing/Beneficiation | Marine And Estuarine Ecology (Incl. Marine Ichthyology) | Geochronology And Isotope Geochemistry | Exploration Geochemistry | Electromagnetism | Agroforestry | Geochemistry Not Elsewhere Classified
Earth sciences | Concentrating processes of other base metal ores | First stage treatment of ores and minerals | Environmentally Sustainable Mineral Resource Activities not elsewhere classified | Hardwood plantations | Mineral Exploration not elsewhere classified |
Publisher: Society of Economic Geologists
Date: 2011
Publisher: Elsevier BV
Date: 10-2016
Publisher: Informa UK Limited
Date: 12-2000
Publisher: American Geophysical Union (AGU)
Date: 05-04-2011
DOI: 10.1029/2010GC003405
Publisher: Elsevier BV
Date: 10-2011
Publisher: Elsevier BV
Date: 10-2008
Publisher: Elsevier BV
Date: 11-1992
Publisher: Informa UK Limited
Date: 10-1997
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Informa UK Limited
Date: 13-04-2015
Publisher: Elsevier BV
Date: 09-2014
Publisher: Elsevier BV
Date: 08-2016
Publisher: Society of Economic Geologists
Date: 08-2005
Publisher: CSIRO Publishing
Date: 1991
DOI: 10.1071/SB9910013
Abstract: The recent recognition of numerous small geological terranes in the Indo-Pacific region has revolutionised our understanding of geological and biogeographic processes. Most of these terranes rifted from Gondwana. The Shan-Thai terrane rifted from Australia in the Permian and collided with Indo-China in the Triassic. Parts of Sumatra and Kalimantan may have rifted from Australia in the Cretaceous and carried an angiosperm flora north. Other terranes, now dispersed in South-East Asia and in the Pacific were, at various times in the Cenozoic, part of the Australian continent. Faunal and floral mobilism to Fiji via the Solomons and Vanuatu was probably not difficult up to the late Miocene.
Publisher: Informa UK Limited
Date: 17-11-2015
Publisher: Informa UK Limited
Date: 09-11-2022
Publisher: Society of Economic Geologists
Date: 12-2019
DOI: 10.5382/ECONGEO.2019.4650
Abstract: Mineralogy is a fundamental characteristic of a given rock mass throughout the mining value chain. Understanding bulk mineralogy is critical when making predictions on processing performance. However, current methods for estimating complex bulk mineralogy are typically slow and expensive. Whole-rock geochemical data can be utilized to estimate bulk mineralogy using a combination of ternary diagrams and bivariate plots to classify alteration assemblages (alteration mapping), a qualitative approach, or through calculated mineralogy, a predictive quantitative approach. Both these techniques were tested using a data set of multielement geochemistry and mineralogy measured by semiquantitative X-ray diffraction data from the Productora Cu-Au-Mo deposit, Chile. Using geochemistry, s les from Productora were classified into populations based on their dominant alteration assemblage, including quartz-rich, Fe oxide, sodic, potassic, muscovite (sericite)- and clay-alteration, and least altered populations. S les were also classified by their dominant sulfide mineralogy. Results indicate that alteration mapping through a range of graphical plots provides a rapid and simple appraisal of dominant mineral assemblage, which closely matches the measured mineralogy. In this study, calculated mineralogy using linear programming was also used to generate robust quantitative estimates for major mineral phases, including quartz and total feldspars as well as pyrite, iron oxides, chalcopyrite, and molybdenite, which matched the measured mineralogy data extremely well (R2 values greater than 0.78, low to moderate root mean square error). The results demonstrate that calculated mineralogy can be applied in the mining environment to significantly increase bulk mineralogy data and quantitatively map mineralogical variability. This was useful even though several minerals were challenging to model due to compositional similarities and clays and carbonates could not be predicted accurately.
Publisher: Informa UK Limited
Date: 10-1997
Publisher: Elsevier BV
Date: 10-2014
Publisher: Informa UK Limited
Date: 11-1981
Publisher: Informa UK Limited
Date: 15-02-2018
Publisher: Informa UK Limited
Date: 06-1977
Publisher: Elsevier BV
Date: 10-2015
Publisher: Oxford University Press (OUP)
Date: 02-1991
Publisher: Informa UK Limited
Date: 04-2002
Publisher: Informa UK Limited
Date: 18-05-2016
Publisher: Elsevier BV
Date: 1993
Publisher: Society of Economic Geologists
Date: 07-1988
Publisher: Society of Economic Geologists
Date: 06-2004
Publisher: Elsevier BV
Date: 1987
Publisher: Wiley
Date: 12-2003
Publisher: Society of Economic Geologists
Date: 12-2009
Publisher: Society of Economic Geologists
Date: 07-10-2016
Publisher: University of New Brunswick Libraries - UNB
Date: 06-10-2017
DOI: 10.12789/GEOCANJ.2017.44.121
Abstract: Geometallurgy is a cross-disciplinary science that addresses the problem of teasing out the features of the rock mass that significantly influence mining and processing. Rocks are complex composite mixtures for which the basic building blocks are grains of minerals. The properties of the minerals, how they are bound together, and many other aspects of rock texture affect the entire mining value chain from exploration, through mining and processing, waste and tailings disposal, to refining and sales. This review presents rock properties (e.g. strength, composition, mineralogy, texture) significant in geometallurgy and ex les of test methods available to measure or predict these properties. Geometallurgical data need to be quantitative and spatially constrained so they can be used in 3D modelling and mine planning. They also need to be obtainable relatively cheaply in order to be abundant enough to provide a statistically valid s le distribution for spatial modelling. Strong communication between different departments along the mining value chain is imperative so that data are produced and transferred in a useable form and duplication is avoided. The ultimate aim is to have 3D models that not only show the grade of valuable elements (or minerals), but also include rock properties that may influence mining and processing, so that decisions concerning mining and processing can be made holistically, i.e. the impacts of rock properties on all the cost centres in the mining process are taken into account. There are significant costs to improving ore deposit knowledge and it is very important to consider the cost-benefit curve when planning the level of geometallurgical effort that is appropriate in in idual deposits.RÉSUMÉLa géométallurgie est une science interdisciplinaire qui s’intéresse aux caractéristiques de la masse rocheuse qui influent de manière significative sur l'exploitation minière et le traitement du minerai. Les roches sont des mélanges composites complexes dont les éléments structurant de base sont des grains de minéraux. Les propriétés des minéraux, la façon dont ils sont liés entre eux, et de nombreux autres aspects de la texture des roches déterminent l'ensemble de la chaîne de valeur minière, de l'exploration à l'extraction à la transformation, à l'élimination des déchets et des résidus, jusqu'au raffinage et à la vente. La présente étude passe en revue les propriétés significatives de la roche (par ex. sa cohésion, sa composition, sa minéralogie, sa texture) en géométallurgie ainsi que des exemples de méthodes d'essai disponibles pour mesurer ou prédire ces propriétés. Les données géométallurgiques doivent être quantitatives et localisées spatialement afin qu'elles puissent être utilisées dans la modélisation 3D et la planification de la mine. Elles doivent également être peu couteuses afin d'être suffisamment nombreuses pour fournir une distribution d'échantillon statistiquement valide pour la modélisation spatiale. Une communication efficace entre les différents segments de la chaîne de valeur minière est impérative pour que les données soient produites et transférées sous une forme utilisable et que les duplications soient évitées. Le but ultime est d'avoir des modèles 3D qui montrent non seulement la qualité des éléments précieux (ou minéraux), mais aussi les propriétés de roche qui déterminent l'exploitation minière et le traitement du minerai, de sorte que les décisions concernant l'exploitation minière et le traitement du minerai peuvent être réalisées de façon holistique, c.-à-d. que l’impact des propriétés de roche sur tous les maillons de la chaîne des coûts du processus minier sont prises en compte. Les coûts d’amélioration des connaissances sur le gisement de minerai étant importants, il faut tenir compte de la courbe coûts-bénéfices lors de la planification du niveau d'investissement géométallurgique approprié pour le gisement considéré.
Publisher: Informa UK Limited
Date: 12-2021
Publisher: Informa UK Limited
Date: 06-1988
Publisher: Geological Society of America
Date: 2000
Publisher: Elsevier BV
Date: 2002
Publisher: Elsevier BV
Date: 10-2001
Publisher: Informa UK Limited
Date: 10-2012
Publisher: Elsevier BV
Date: 10-2001
Publisher: Elsevier BV
Date: 12-2000
Publisher: Elsevier BV
Date: 04-2004
Publisher: Informa UK Limited
Date: 06-1989
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Springer Science and Business Media LLC
Date: 11-1990
DOI: 10.1038/348437A0
Publisher: Oxford University Press (OUP)
Date: 06-1990
Publisher: Elsevier BV
Date: 1986
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Canadian Science Publishing
Date: 11-2006
DOI: 10.1139/E06-050
Abstract: A detailed deformation history for central Vancouver Island was determined at Myra Falls volcanic-hosted massive sulfide c with early ductile deformation overprinted by several distinct episodes of brittle deformation. Brittle structures were sub ided into separate groups based on their morphology, geometry, kinematics, and crosscutting relations. The central location of this study provides a link between previous deformation studies in northern and southern Vancouver Island. Late Paleozoic northeast–southwest compression (D 1 ) produced open upright folds with variably developed north-northwest-striking axial planar cleavage zones (S 1 ) and subhorizontal stretching lineations (L 1 ) subparallel to F 1 fold axes. Renewed northeast–southwest compression during the collision of Wrangellia and North America produced a second foliation (S 2 ) in localized shear zones, slightly oblique to the dominant S 1 foliation. These two events are recorded throughout Vancouver Island wherever the basement is exposed. Mid-Cretaceous northeast–southwest compression during D 3 produced early steep conjugate strike-slip faults (D 3a ), overprinted by northeast- and southwest-dipping thrust faults and bedding-parallel shears (D 3b ). D 3 structures have been previously recognized in northern Vancouver Island but not as far south as Myra Falls. North–south extension (D 4 ) produced east, north, and east–southeast-striking normal faults. These faults consistently crosscut earlier D 1 –D 3 structures and reactivate steep D 3a faults. Normal faulting is correlated with the development of the Upper Cretaceous Nanaimo Basin, but no faults of this age have previous been reported from onshore studies. The youngest structures at Myra Falls are large northwest-striking, northeast-dipping thrust faults and steep west- to west-northwest-striking sinistral strike-slip faults formed during the D 5 event. These faults are gouge-rich, wavy anastomosing structures, with cleaved wall-rock zones up to several metres wide. The D 5 faults are correlated with Eocene deformation caused by the accretion of the Pacific Rim and Crescent Terranes along the southwestern margin of Vancouver Island. Myra Falls is the northernmost location to have been reported, at which the structures formed as part of the Cowichan fold and thrust belt.
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Informa UK Limited
Date: 04-2002
Publisher: Geological Society of London
Date: 11-2002
Publisher: Canadian Science Publishing
Date: 12-2016
Abstract: This paper presents results of a laser ablation – inductively coupled plasma – quadrapole mass spectrometer (LA–ICP–QMS) U–Pb dating study of small in situ zircon grains from s les collected in the vicinity of the Greens Creek massive sulphide deposit, on northern Admiralty Island, southeast Alaska. The Greens Creek mine is a volcanogenic massive sulphide deposit in the central portion of the Alexander Triassic metallogenic belt (ATMB) and is one of the top global silver producers despite having a dominantly mafic metavolcanic stratigraphic footwall. The stratigraphic footwall is a Mississippian mafic metavolcanic sequence with a protolith age of approximately 340–330 Ma. The first U–Pb zircon constrained chronostratigraphy for the area places the deposit near, or at, the base of the host Late Triassic stratigraphy just above an approximately 100 million year old unconformity and probably 10–15 million years older than mineralization at the Palmer and Windy Craggy deposits in the northern portion of the ATMB. The stratigraphic location of the Greens Creek deposit is atypical for a syngenetic massive sulphide deposit, and this may, at least partly, explain its unusual metal endowment. Pre-mineralization Permian U–Pb zircon metamorphic ages are consistent with published 273–260 Ma white mica ages related to the collision of the Admiralty and Craig subterranes, the basement to the ATMB. The much older age of the footwall rocks and their Permian pre-mineralization metamorphism demonstrates that though the mafic volcanic rocks are not genetically linked to the deposit, they likely influenced the style of alteration and mineralization.
Publisher: Geological Society of America
Date: 08-10-2018
DOI: 10.1130/G45225.1
Publisher: Informa UK Limited
Date: 11-12-2018
Publisher: Society of Economic Geologists
Date: 17-03-2014
Publisher: Springer International Publishing
Date: 2017
Publisher: Elsevier BV
Date: 1981
Publisher: Geological Society of London
Date: 09-1982
Publisher: Informa UK Limited
Date: 06-2005
Publisher: Elsevier BV
Date: 10-2018
Publisher: Informa UK Limited
Date: 12-1988
Publisher: Elsevier BV
Date: 2016
DOI: 10.1016/J.FORSCIINT.2015.10.009
Abstract: In a recent Australian homicide, trace soil on the victim's clothing suggested she was initially attacked in her front yard and not the park where her body was buried. However the important issue that emerged during the trial was how soil was transferred to her clothing. This became the catalyst for designing a range of soil transference experiments (STEs) to study, recognise and classify soil patterns transferred onto fabric when a body is dragged across a soil surface. Soil deposits of interest in this murder were on the victim's bra and this paper reports the results of anthropogenic soil transfer to bra-cups and straps caused by dragging. Transfer patterns were recorded by digital photography and photomicroscopy. Eight soil transfer patterns on fabric, specific to dragging as the transfer method, appeared consistently throughout the STEs. The distinctive soil patterns were largely dependent on a wide range of soil features that were measured and identified for each soil tested using X-ray Diffraction and Non-Dispersive Infra-Red analysis. Digital photographs of soil transfer patterns on fabric were analysed using image processing software to provide a soil object-oriented classification of all soil objects with a diameter of 2 pixels and above transferred. Although soil transfer patterns were easily identifiable by naked-eye alone, image processing software provided objective numerical data to support this traditional (but subjective) interpretation. Image software soil colour analysis assigned a range of Munsell colours to identify and compare trace soil on fabric to other trace soil evidence from the same location without requiring a spectrophotometer. Trace soil from the same location was identified by linking soils with similar dominant and sub-dominant Munsell colour peaks. Image processing numerical data on the quantity of soil transferred to fabric, enabled a relationship to be discovered between soil type, clay mineralogy (smectite), particle size and soil moisture content that would not have been possible otherwise. Soil type (e.g. Anthropogenic, gravelly sandy loam soil or Natural, organic-rich soil), clay mineralogy (smectite) and soil moisture content were the greatest influencing factors in all the dragging soil transference tests (both naked eye and measured properties) to explain the eight categories of soil transference patterns recorded. This study was intended to develop a method for dragging soil transference laboratory experiments and create a baseline of preliminary soil type roperty knowledge. Results confirm the need to better understand soil behaviour and properties of clothing fabrics by further testing of a wider range of soil types and clay mineral properties.
Publisher: Informa UK Limited
Date: 08-2006
Publisher: Society of Economic Geologists
Date: 11-2001
Publisher: Informa UK Limited
Date: 07-2007
Publisher: Wiley
Date: 05-1991
Publisher: Wiley
Date: 17-02-2009
Publisher: Springer International Publishing
Date: 19-10-2016
Publisher: Geological Society of America
Date: 2000
Publisher: Society of Economic Geologists
Date: 05-1992
Start Date: 06-2015
End Date: 06-2021
Amount: $3,966,350.00
Funder: Australian Research Council
View Funded ActivityStart Date: 07-2005
End Date: 06-2014
Amount: $24,450,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2005
End Date: 12-2005
Amount: $512,092.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2002
End Date: 12-2003
Amount: $750,000.00
Funder: Australian Research Council
View Funded ActivityStart Date: 2009
End Date: 12-2009
Amount: $245,000.00
Funder: Australian Research Council
View Funded Activity