Profiles

Matthew Cracknell

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Matthew J Cracknell

Lecturer in Geodata Analytics

Room 328A , Geology-Geography Building

+61 3 6226 2481 (phone)

m.j.cracknell@utas.edu.au

Dr Matthew Cracknell is a Lecturer in Geodata Analytics for the Discipline of Earth Sciences and the Centre for Ore Deposit and Earth Sciences (CODES).

Matt is heavily involved in teaching across all levels of undergraduate and postgraduate learning and is passionate about promoting deep engagement and facilitating place-based learning opportunities. In recent years, he has developed undergraduate and postgraduate learning opportunities that encompassing all stages of the mining value chain, through environmental geophysics and the emerging field of Geodata Analytics.

Matt is dedicated to delivering outstanding research outcomes for industry and government sponsored projects that foster vital and sustainable local communities. His research impact has ensured continued funding of major projects within CODES. This is due, in part, to his ability to engage with research stakeholders, deliver technology transfer opportunities and supervise HDR candidates.

Matt encourages diverse and supportive teaching and research environments with a key focus on positive HDR research outcomes and candidate wellbeing. He has promoted initiatives that develop, promote, and deliver short- and long-term positive outcomes for the mental health of individuals, his workplace and the broader community.

Biography

Matthew received a BSc (Hons) in geophysics from the University of Tasmania in 2009. He graduated from the University of Tasmania with a PhD in Computational Geophysics in 2014. Before entering academia Matt was employed as a consultant geoscientist and GIS analyst, completing projects for Forestry Tasmania, Mineral Resources Tasmania (MRT), Blue Wren Consulting and the Environmental Protection Agency (EPA) oil spill response program via Ecomarine Consulting.

Prior to his current position as a Lecturer, Matt held numerous short-term research and teaching positions at CODES, the Antarctic Climate & Ecosystems Cooperative Research Centre (ACE CRC) and the School of Humanities, University of Tasmania. He currently provides HDR candidate support and management as co-GRC for the Discipline of Earth Sciences and is the leader of the CODES Research Program 6: Geophysics and computational geosciences. Matt is an active member of the School of Natural Sciences Inclusion, Diversity and Equity team.

Career summary

Qualifications

DegreeThesis TitleUniversityCountryDate of Award
PhD Machine Learning for Geological Mapping: Algorithms and ApplicationsUniversity of TasmaniaAustraliaAugust 2014
BSc (1st Class Hons)Remote Sensing Geological Structures from High Resolution Digital Elevation Models

University of Tasmania

AustraliaDecember 2009

Memberships

Professional practice

  • International Association for Mathematical Geosciences
  • Australian Society of Exploration Geophysicists (ASEG), Tasmanian Branch Secretary
  • Geological Society of Australia (GSA)

Teaching

Applied Geophysics, Computational Geophysics and Geosciences, Environmental Geophysics, Geographic Information Systems (GIS), Spatial Data Analysis, Geodata Analytics

Teaching expertise

Matthew has been teaching and inspiring students since 2009. He coordinates undergraduate and postgraduate units. In 2018 he was awarded a Teaching Merit Certificate for teaching excellence and demonstrating deep engagement through quality teaching and resources.

Teaching responsibility

    • XBR117 – Energy (Unit Coordinator)
    • KEA209 – Deep Earth
    • KEA343 – Mineral Exploration
    • KEA348 - Environmental Geology
    • KEA710 – Exploration in Brownfields Terrains
    • KEA711 – Geometallurgy
    • KEA713 – Geodata Analytics (Unit Coordinator)

View more on Dr Matthew Cracknell in WARP

Expertise

    • Geology, geochemistry and geophysics
    • Bedrock and regolith characterisation and mapping from remote sensing data
    • Near-surface geophysics for environmental applications
    • Geoscience data mining, machine learning and pattern recognition
    • Geographic Information Systems (GIS) and advanced spatial data analysis
    • Geodata Analytics

Research Themes

Matthew is a key member of the Centre for Ore Deposit and Earth Sciences (CODES). His research combines elements of both the Resources and Sustainability and Data, Knowledge and Decisions University research themes. His research explored the use of data mining and machine learning techniques to identify and analyse patterns in high-dimensional geological, geophysical and geochemical data. Specific focus is placed on generating useful outputs such as robust measures of uncertainty and the development of methods for interpreting inferred relationships.

Currently, Matt is researching novel approaches to adding value to digital scans of drillcore data, specifically related to the automated detection, extraction and classification of geological features and mineral textures. In addition, Matt is applying his data mining and machine learning skills to addressing the significant challenge of finding deeply buried ore deposits in the regolith dominated terrains of Australia. Matt is dedicated to the characterisation, monitoring and management of legacy mine waste sites in Tasmania.

Collaboration

Matt works closely with mining and resource industry partners through Amira projects. He has worked closely with Geoscience Australia on projects that aim to identify subtle mineralisation signatures in continental-scale geochemical and geophysical data, and with the University of Canberra's Institute of Applied Ecology developing objective spatial data analysis methods for agricultural and soil conservation land management systems. He currently collaborates with Mineral Resources Tasmania (MRT) on the application of near-surface geophysics for mine waste characterisation.

Awards

  • S.W. Carey Prize for the best BSc Honours thesis in the geological sciences at the University of Tasmania (2009)
  • Best student presentation Third Australian Regolith Geoscientists Association (ARGA) Conference Perth-Bunbury 6-7th February 2014

Fields of Research

  • Geoinformatics (370499)
  • Resource geoscience (370508)
  • Applied geophysics (370601)

Research Objectives

  • Primary mining and extraction of minerals (250499)
  • Copper ore exploration (250302)
  • Environmentally sustainable mineral resource activities (250199)

Publications

Matthew has been the primary author of several peer-reviewed journal articles. These publications document the novel application of supervised and unsupervised learning algorithms to a diverse range of geoscience problems. He has also contributed to a number of conference abstracts presented at national and international geophysics conferences. Matthew regularly reviews journal articles for Computers & Geosciences and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).

Total publications

109

Highlighted publications

(1 outputs)
YearTypeCitationAltmetrics
2014Journal ArticleCracknell MJ, Reading AM, 'Geological mapping using remote sensing data: a comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information', Computers and Geosciences, 63 pp. 22-33. ISSN 0098-3004 (2014) [Refereed Article]

DOI: 10.1016/j.cageo.2013.10.008 [eCite] [Details]

Citations: Scopus - 304Web of Science - 265

Co-authors: Reading AM

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Journal Article

(29 outputs)
YearCitationAltmetrics
2022Jones CL, Orovan EA, Meffre S, Thompson J, Belousova EA, et al., 'Zircon O and Lu-Hf isotope evidence of mantle and supracrustal origins of Tasmanian Devonian granites', Gondwana Research, 110 pp. 1-12. ISSN 1342-937X (2022) [Refereed Article]

DOI: 10.1016/j.gr.2022.06.004 [eCite] [Details]

Co-authors: Orovan EA; Meffre S; Thompson J; Cooke DR

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2022Merrill-Cifuentes J, Cracknell MJ, Escolme A, 'Unsupervised textural classification of rocks in large imagery datasets', Minerals Engineering, 180 Article 107496. ISSN 0892-6875 (2022) [Refereed Article]

DOI: 10.1016/j.mineng.2022.107496 [eCite] [Details]

Co-authors: Merrill-Cifuentes J; Escolme A

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2021Bombardieri D, Duffett M, McNeill A, Cracknell M, Reading A, 'Insights and lessons from 3D geological and geophysical modeling of mineralized terranes in Tasmania', Minerals, 11, (11) Article 1195. ISSN 2075-163X (2021) [Refereed Article]

DOI: 10.3390/min11111195 [eCite] [Details]

Co-authors: Reading A

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2021Gazley M, Hood SB, Cracknell MJ, 'Soil-sample geochemistry normalised by class membership from machine-learnt clusters of satellite and geophysics data', Ore Geology Reviews, 139, (Part A) Article 104442. ISSN 0169-1368 (2021) [Refereed Article]

DOI: 10.1016/j.oregeorev.2021.104442 [eCite] [Details]

Co-authors: Hood SB

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2021Zhong R, Deng Y, Li W, Danyushevsky LV, Cracknell M, et al., 'Revealing the multi-stage ore-forming history of a mineral deposit using pyrite geochemistry and machine learning-based data interpretation', Ore Geology Reviews, 133 Article 104079. ISSN 0169-1368 (2021) [Refereed Article]

DOI: 10.1016/j.oregeorev.2021.104079 [eCite] [Details]

Citations: Scopus - 5Web of Science - 5

Co-authors: Danyushevsky LV; Belousov I

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2020Barker RD, Barker SLL, Cracknell MJ, Stock ED, Holmes G, 'Quantitative mineral mapping of drill core surfaces II: long-wave infrared mineral characterization using μXRF and machine learning', Economic Geology and the Bulletin of the Society of Economic Geologists pp. 1-16. ISSN 0361-0128 (2020) [Refereed Article]

DOI: 10.5382/econgeo.4804 [eCite] [Details]

Citations: Web of Science - 4

Co-authors: Barker SLL

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2020Eshaghi E, Reading AM, Roach M, Duffett M, Bombardieri D, et al., 'Inverse modeling constrained by potential field data, petrophysics, and improved geologic mapping: A case study from prospective northwest Tasmania', Geophysics, 85, (5) pp. K13-K26. ISSN 0016-8033 (2020) [Refereed Article]

DOI: 10.1190/geo2019-0636.1 [eCite] [Details]

Citations: Scopus - 2Web of Science - 2

Co-authors: Eshaghi E; Reading AM; Roach M; Kuhn SD

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2020Eshaghi E, Reading AM, Roach M, Duffett ML, Bombardieri D, et al., 'Efficient regional scale 3D potential field geophysical modelling to redefine the geometry of granite bodies beneath prospective, geologically complex, northwest Tasmania', Ore Geology Reviews, 127 Article 103799. ISSN 0169-1368 (2020) [Refereed Article]

DOI: 10.1016/j.oregeorev.2020.103799 [eCite] [Details]

Citations: Scopus - 1Web of Science - 1

Co-authors: Eshaghi E; Reading AM; Roach M; Duffett ML; Bombardieri D

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2020Kuhn S, Cracknell MJ, Reading AM, Sykora S, 'Identification of intrusive lithologies in volcanic terrains in British Columbia by machine learning using random forests: the value of using a soft classifier', Geophysics, 85, (6) pp. B249-B258. ISSN 0016-8033 (2020) [Refereed Article]

DOI: 10.1190/geo2019-0461.1 [eCite] [Details]

Citations: Scopus - 4Web of Science - 3

Co-authors: Kuhn S; Reading AM

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2019Gregory DD, Cracknell MJ, Large RR, McGoldrick P, Kuhn S, et al., 'Distinguishing ore deposit type and barren sedimentary pyrite using laser ablation-inductively coupled plasma-mass spectrometry trace element data and statistical analysis of large data sets', Economic Geology, 114, (4) pp. 771-786. ISSN 0013-0109 (2019) [Refereed Article]

DOI: 10.5382/econgeo.4654 [eCite] [Details]

Citations: Scopus - 37Web of Science - 38

Co-authors: Large RR; McGoldrick P; Kuhn S; Baker MJ; Fox N; Belousov I; Steadman JA

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2019Harraden CL, Cracknell MJ, Lett J, Berry RF, Carey R, et al., 'Automated core logging technology for geotechnical assessment: a study on core from the Cadia East porphyry deposit', Economic Geology, 114, (8) pp. 1495-1511. ISSN 0013-0109 (2019) [Refereed Article]

DOI: 10.5382/econgeo.4649 [eCite] [Details]

Citations: Scopus - 6Web of Science - 7

Co-authors: Harraden CL; Berry RF

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2019Hood SB, Cracknell MJ, Gazley MF, Reading AM, 'Element mobility and spatial zonation associated with the Archean Hamlet orogenic Au deposit, Western Australia: Implications for fluid pathways in shear zones', Chemical Geology, 514 pp. 10-26. ISSN 0009-2541 (2019) [Refereed Article]

DOI: 10.1016/j.chemgeo.2019.03.022 [eCite] [Details]

Citations: Scopus - 7Web of Science - 7

Co-authors: Hood SB; Reading AM

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2019Hood SB, Cracknell MJ, Gazley MF, Reading AM, 'Improved supervised classification of bedrock in areas of transported overburden: applying domain expertise at Kerkasha, Eritrea', Applied Computing and Geosciences, 3-4 Article 100001. ISSN 2590-1974 (2019) [Refereed Article]

DOI: 10.1016/j.acags.2019.100001 [eCite] [Details]

Citations: Scopus - 4

Co-authors: Hood SB; Reading AM

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2019Kuhn S, Cracknell MJ, Reading AM, 'Lithological mapping in the Central African Copper Belt using Random Forests and clustering: Strategies for optimised results', Ore Geology Reviews, 112 Article 103015. ISSN 0169-1368 (2019) [Refereed Article]

DOI: 10.1016/j.oregeorev.2019.103015 [eCite] [Details]

Citations: Scopus - 13Web of Science - 12

Co-authors: Kuhn S; Reading AM

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2018Cracknell MJ, Parbhakar-Fox A, Jackson L, Savinova E, 'Automated acid rock drainage indexing from drill core imagery', Minerals, 8, (12) Article 571. ISSN 2075-163X (2018) [Refereed Article]

DOI: 10.3390/min8120571 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

Co-authors: Parbhakar-Fox A; Jackson L

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2018Hood SB, Cracknell MJ, Gazley MF, 'Linking protolith rocks to altered equivalents by combining unsupervised and supervised machine learning', Journal of Geochemical Exploration, 186 pp. 270-280. ISSN 0375-6742 (2018) [Refereed Article]

DOI: 10.1016/j.gexplo.2018.01.002 [eCite] [Details]

Citations: Scopus - 11Web of Science - 11

Co-authors: Hood SB

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2018Kuhn S, Cracknell MJ, Reading AM, 'Lithologic mapping using Random Forests applied to geophysical and remote-sensing data: a demonstration study from the Eastern Goldfields of Australia', Geophysics, 83, (4) pp. 183-193. ISSN 0016-8033 (2018) [Refereed Article]

DOI: 10.1190/GEO2017-0590.1 [eCite] [Details]

Citations: Web of Science - 33

Co-authors: Kuhn S; Reading AM

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2018Radford DDC, Cracknell MJ, Roach MJ, Cumming GV, 'Geological mapping in Western Tasmania using radar and random forests', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, (9) pp. 3075-3087. ISSN 1939-1404 (2018) [Refereed Article]

DOI: 10.1109/JSTARS.2018.2855207 [eCite] [Details]

Citations: Scopus - 20Web of Science - 16

Co-authors: Roach MJ

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2017Cowood AL, Moore CL, Cracknell MJ, Young J, Muller R, et al., 'Expansion of landscape characterisation methods within the Hydrogeological Landscape Framework: application in the Australian Capital Territory', Australian Journal of Earth Sciences, 64, (8) pp. 1073-1084. ISSN 0812-0099 (2017) [Refereed Article]

DOI: 10.1080/08120099.2017.1255656 [eCite] [Details]

Citations: Scopus - 5Web of Science - 4

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2017Cracknell MJ, de Caritat P, 'Catchment-based gold prospectivity analysis combining geochemical, geophysical and geological data across northern Australia', Geochemistry: Exploration, Environment, Analysis, 17, (3) pp. 204-216. ISSN 1467-7873 (2017) [Refereed Article]

DOI: 10.1144/geochem2016-012 [eCite] [Details]

Citations: Scopus - 10Web of Science - 10

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2016Cracknell MJ, Cowood AL, 'Construction and analysis of Hydrogeological Landscape units using Self-Organising Maps', Soil Research, 54, (3) pp. 328-345. ISSN 1838-675X (2016) [Refereed Article]

DOI: 10.1071/SR15016 [eCite] [Details]

Citations: Scopus - 6Web of Science - 6

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2016Cracknell MJ, Jansen NH, 'National Virtual Core Library HyLogging data and Ni-Co laterites: a mineralogical model for resource exploration, extraction and remediation', Australian Journal of Earth Sciences, 63, (8) pp. 1053-1067. ISSN 0812-0099 (2016) [Refereed Article]

DOI: 10.1080/08120099.2016.1246476 [eCite] [Details]

Citations: Scopus - 8Web of Science - 8

Co-authors: Jansen NH

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2015Cracknell MJ, Reading AM, 'Spatial-contextual supervised classifiers explored: a challenging example of lithostratigraphy classification', IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 8, (3) pp. 1371-1384. ISSN 1939-1404 (2015) [Refereed Article]

DOI: 10.1109/JSTARS.2014.2382760 [eCite] [Details]

Citations: Scopus - 4Web of Science - 4

Co-authors: Reading AM

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2015Cracknell MJ, Reading AM, de Caritat P, 'Multiple influences on regolith characteristics from continental-scale geophysical and mineralogical remote sensing data using Self-Organizing Maps', Remote Sensing of Environment, 165 pp. 86-99. ISSN 0034-4257 (2015) [Refereed Article]

DOI: 10.1016/j.rse.2015.04.029 [eCite] [Details]

Citations: Scopus - 14Web of Science - 11

Co-authors: Reading AM

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2014Cracknell MJ, Reading AM, 'Geological mapping using remote sensing data: a comparison of five machine learning algorithms, their response to variations in the spatial distribution of training data and the use of explicit spatial information', Computers and Geosciences, 63 pp. 22-33. ISSN 0098-3004 (2014) [Refereed Article]

DOI: 10.1016/j.cageo.2013.10.008 [eCite] [Details]

Citations: Scopus - 304Web of Science - 265

Co-authors: Reading AM

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2014Cracknell MJ, Reading AM, McNeill AW, 'Mapping geology and volcanic-hosted massive sulfide alteration in the Hellyer-Mt Charter region, Tasmania, using Random ForestsTM and Self-Organising Maps', Australian Journal of Earth Sciences, 61, (2) pp. 287-304. ISSN 0812-0099 (2014) [Refereed Article]

DOI: 10.1080/08120099.2014.858081 [eCite] [Details]

Citations: Scopus - 50Web of Science - 42

Co-authors: Reading AM

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2013Cracknell MJ, Reading AM, 'The upside of uncertainty: Identification of lithology contact zones from airborne geophysics and satellite data using random forests and support vector machines', Geophysics, 78, (3) pp. WB113-WB126. ISSN 0016-8033 (2013) [Refereed Article]

DOI: 10.1190/GEO2012-0411.1 [eCite] [Details]

Citations: Scopus - 62Web of Science - 55

Co-authors: Reading AM

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2013Cracknell MJ, Roach M, Green D, Lucieer A, 'Estimating bedding orientation from high-resolution digital elevation models', IEEE Transactions on Geoscience and Remote Sensing, 51, (5) pp. 2949-2959. ISSN 0196-2892 (2013) [Refereed Article]

DOI: 10.1109/TGRS.2012.2217502 [eCite] [Details]

Citations: Scopus - 14Web of Science - 14

Co-authors: Roach M; Lucieer A

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2012Bar-Ness Y, McQuillan PB, Whitman M, Junker RR, Cracknell M, et al., 'Sampling forest canopy arthropod biodiversity with three novel minimal-cost trap designs', Australian Journal of Entomology, 51, (1) pp. 12-21. ISSN 1440-6055 (2012) [Refereed Article]

DOI: 10.1111/j.1440-6055.2011.00836.x [eCite] [Details]

Citations: Scopus - 8Web of Science - 6

Co-authors: Bar-Ness Y; McQuillan PB

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Conference Publication

(64 outputs)
YearCitationAltmetrics
2021Cracknell M, Scott R, Foulds D, 'Extending cluster derived LA-ICP-MS geochemical domains through optical microscopy image classification', Goldschmidt Virtual 2021, 4-9 July 2021 (2021) [Conference Extract]

[eCite] [Details]

Co-authors: Scott R

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2021Farrar A, Cracknell M, Cooke D, Hronsky J, Piquer J, 'Interpreting and validating trans-lithospheric faults in the CentralAndes to investigate their control on the localisation of giantporphyry copper deposits', Australian Earth Sciences Convention 2021 - 'Core to Cosmos', 9-12 February 2021, Virtual Conference, Online (Australia) (2021) [Conference Extract]

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Co-authors: Farrar A; Cooke D

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2021Ostersen T, Reading AM, Cracknell MJ, Roach M, McNeill A, et al., 'Geoelectric structure of Tasmania from multi-scale magnetotelluric data', Australian Earth Sciences Convention 2021 - 'Core to Cosmos', 9-12 February 2021, Virtual Conference, Online (Australia) (2021) [Keynote Presentation]

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Co-authors: Ostersen T; Reading AM; Roach M; McNeill A

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2021Stal T, Reading AM, Cracknell MJ, Halpin JA, Latto RB, et al., 'Data-driven tectonic regionalization of Antarctica: appreciate the similarity', Australian Earth Sciences Convention 2021 - 'Core to Cosmos', 9-12 February 2021, Virtual Conference, Online (Australia) (2021) [Conference Extract]

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Co-authors: Stal T; Reading AM; Halpin JA; Latto RB; Morse PE; Turner RJ; Whittaker JM

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2020Barker SLL, Cracknell M, Cooke DR, Baker M, Belousov I, 'Sweep-by-sweep epidote data from Batu Hijau: implications for epidote vectoring studies', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Hobart, Australia, pp. 32-48. (2020) [Conference Extract]

[eCite] [Details]

Co-authors: Barker SLL; Cooke DR; Baker M; Belousov I

2020Cracknell MJ, Cooke SA, Baker M, Cooke DR, Belousov I, '3D heat source regression modelling', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Hobart, Australia, pp. 21-31. (2020) [Conference Extract]

[eCite] [Details]

Co-authors: Cooke SA; Baker M; Cooke DR; Belousov I

2020Fisher E, Xuen Heng W, Wilson O, Cracknell MJ, Miller CB, 'An Enduring Problem: A multidisciplinary approach to characterise acid and metalliferous drainage at Endurance Mine, NE Tasmania', Geological Society of Australia Earth Science Student Symposium 2020, 12-17 October 2020, Virtual Conference, Online (Australia) (2020) [Conference Extract]

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Co-authors: Miller CB

2020Rodrigues A, Ailleres L, Harandi M, Grose L, Orovan E, et al., 'P1202 module 2 lithocap program: an introduction', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Hobart, Australia, pp. 189-213. (2020) [Conference Extract]

[eCite] [Details]

Co-authors: Orovan E; Escolme A

2020Smyk E, Cracknell MJ, 'Christmas, Arizona: epidote chemistry', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Santiago, pp. 49-78. (2020) [Conference Extract]

[eCite] [Details]

Co-authors: Smyk E

2020Staal T, Reading AM, Cracknell MJ, Fox J, Halpin JA, et al., '345 - The Wilkes Land sector including the Aurora Basin, and its most probable subglacial geology', Scientific Committee on Antarctic Research (SCAR) Open Science Conference 2020: Antarctic - Global Connections, 3-7 August 2020, Online (2020) [Conference Extract]

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Co-authors: Staal T; Reading AM; Fox J; Halpin JA; Maritati A; Whittaker JM

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2020Zhang L, Escolme A, Cracknell M, Coaquira T, Orovan E, et al., 'Mica chemistry: challenges and opportunities', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Hobart, Australia, pp. 166-188. (2020) [Conference Extract]

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Co-authors: Zhang L; Escolme A; Orovan E; Barker S; Baker M; Halley S; Cooke DR

2020Zhang L, Sun Y, Seow X, Hamilton P, Orovan E, et al., 'P1202 Module 2 lithocap program', AMIRA P1202 Sponsors Meeting 4, 6-7 May 2020, Hobart, Australia, pp. 79-120. (2020) [Conference Extract]

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Co-authors: Zhang L; Sun Y; Orovan E; White N; Cooke DR; Eastman K; Barker S

2019Baker M, Belousov I, Cracknell M, 'Aitik deposit, Sweden: progress report', AMIRA P1202 Sponsors Meeting 2, 5-6 June 2019, Hobart, Australia, pp. 105-126. (2019) [Conference Extract]

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Co-authors: Baker M; Belousov I

2019Baker M, Cooke DR, Barker S, Cracknell M, Hollings P, et al., 'P1202 Module 1 green and white rocks program: introduction', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 398-405. (2019) [Conference Extract]

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Co-authors: Baker M; Cooke DR; Barker S; Hollings P; Orovan E; Smyk E; Enkhbold B; Belousov I; Meffre S

2019Baker M, Cooke DR, Barker S, Cracknell M, Hollings P, et al., 'P1202 Module 1 Green Rocks Program: Introduction', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 186-194. (2019) [Conference Extract]

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Co-authors: Baker M; Cooke DR; Barker S; Hollings P; Smyk E; Enkhbold B; Orovan E; Belousov I

2019Cooke DR, Baker M, Cracknell M, Belousov I, Chang Z, 'Module 1: Epidote from Batu Hijau, Indonesia', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 195-242. (2019) [Conference Extract]

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Co-authors: Cooke DR; Baker M; Belousov I; Chang Z

2019Cooke DR, Baker M, Cracknell M, Belousov I, Chang Z, 'Module 1: Epidote from Batu Hijau, Indonesia', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 406-442. (2019) [Conference Extract]

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Co-authors: Cooke DR; Baker M; Belousov I; Chang Z

2019Cracknell MJ, 'Data analytics: epidote deposit classification again?', AMIRA P1202 Sponsors Meeting 2, 5-6 June 2019, Hobart, Australia, pp. 64-86. (2019) [Conference Extract]

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2019Cracknell MJ, Baker M, Cooke DR, Belousov I, 'Data analytics (or the art of trusting computers)', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 161-185. (2019) [Conference Extract]

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Co-authors: Baker M; Cooke DR; Belousov I

2019Cracknell MJ, Baker MJ, Cooke DR, Escolme A, 'Multielement geochemical data missing value and below detection limit imputation', SEG 2019 Conference, 7-10 October 2019, Santiago, Chile, pp. 1-2. (2019) [Conference Extract]

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Co-authors: Baker MJ; Cooke DR; Escolme A

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2019Cracknell MJ, Cooke DR, Baker M, Belousov I, Chang Z, 'Batu Hijau: green rock (epidote) vectors', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 243-267. (2019) [Conference Extract]

[eCite] [Details]

Co-authors: Cooke DR; Baker M; Belousov I; Chang Z

2019Cracknell MJ, Cooke DR, Baker M, Belousov I, Chang Z, 'Batu Hijau - green rock (epidote) vectors', AMIRA P1202 Sponsors Meeting 3(2), 26-28 November 2019, Hobart, Australia, pp. 443-461. (2019) [Conference Extract]

[eCite] [Details]

Co-authors: Cooke DR; Baker M; Belousov I; Chang Z

2019Cracknell MJ, Orovan E, Gorner E, Hollings P, Baker M, et al., 'Geochemical domains in pyrite LA-ICPMS maps', AMIRA P1202 Sponsors Meeting 3(2), 26-28 November 2019, Hobart, Australia, pp. 509-534. (2019) [Conference Extract]

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Co-authors: Orovan E; Hollings P; Baker M; Belousov I; Cooke DR

2019Cracknell MJ, Parbhakar-Fox A, Jackson LM, Fox N, Savinova E, 'Automated identification of sulphides from drill core imagery', Proceedings of the 2019 Mineral Systems of the Pacific Rim Congress (PACRIM 2019), 3-5 April 2019, Auckland, New Zealand, pp. 79-82. ISBN 9781925100808 (2019) [Refereed Conference Paper]

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Co-authors: Parbhakar-Fox A; Jackson LM; Fox N

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2019Gregory DD, Cracknell MJ, Large RR, McGoldrick P, Kuhn S, et al., 'A comparison of random forests and cluster analysis to identify ore deposits type using LA-ICPMS analysis of pyrite', Proceedings of the 15th SGA Biennial Meeting: Life with Ore Deposits on Earth, volume 3, 27-30 August 2018, Glasgow, Scotland, pp. 1274-1277. ISBN 9780852619643 (2019) [Refereed Conference Paper]

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Co-authors: Large RR; McGoldrick P; Kuhn S; Baker MJ; Fox N; Belousov I; Steadman JA

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2019Hood SB, Gazley MF, Cracknell MJ, Barker S, Reading AM, 'A speedy update on machine learning applied to bedrock mapping using geochemistry or geophysics: examples from the Pacific Rim (and nearby)', Proceedings of the 2019 Mineral Systems of the Pacific Rim Congress (PACRIM 2019), 3-5 April 2019, Auckland, New Zealand, pp. 58-61. ISBN 9781925100808 (2019) [Refereed Conference Paper]

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Co-authors: Hood SB; Barker S; Reading AM

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2019Meffre S, Barker S, Cracknell M, Danyushevsky L, 'Sweep by sweep data processing: ongoing analytical developments in CODES Analytical Research Program', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 565-580. (2019) [Conference Extract]

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Co-authors: Meffre S; Barker S; Danyushevsky L

2019Merrill Cifuentes J, Escolme AJ, Cracknell MJ, 'Quantitative textural assessment for sample selection guided by drill core hyperspectral imagery', SEG 2019 Conference, 7-10 October 2019, Santiago, Chile, pp. 1-2. (2019) [Conference Extract]

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Co-authors: Merrill Cifuentes J; Escolme AJ

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2019Rodrigues A, Ailleres L, Armit R, Betts P, Cracknell M, et al., 'Automated mineral classification from hyperspectral data through semantic segmentation', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 706-711. (2019) [Conference Extract]

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Co-authors: Orovan E; Harris A; Harraden C; Cooke DR

2019Rodrigues A, Ailleres L, Armit R, Grose L, Cracknell M, et al., 'Machine learning techniques applied to hyperspectral data', AMIRA P1202 Sponsors Meeting 2, 5-6 June 2019, Hobart, Australia, pp. 351-371. (2019) [Conference Extract]

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Co-authors: Orovan E; Harris A

2019Rodrigues A, Ailleres L, Orovan E, Armit R, Cracknell M, et al., 'Deep learning methods for pixel-based classification of hyperspectral data', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 594-666. (2019) [Conference Extract]

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Co-authors: Orovan E; Harris A; Escolme A

2019Rodrigues A, Ailleres L, Orovan E, Armit R, Cracknell M, et al., 'Multilayer Perceptron for pixel-based classification of hyperspectral data', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 210-346. (2019) [Conference Extract]

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Co-authors: Orovan E; Harris A; Escolme A

2019Seow X, Zhang L, Cracknell M, Barker S, Meffre S, et al., 'Lithocap exploration tool: alunite', AMIRA P1202 Sponsors Meeting 3 (2), 26-28 November 2019, Hobart, Australia, pp. 620-637. (2019) [Conference Extract]

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Co-authors: Zhang L; Barker S; Meffre S; Danyushevsky L; Orovan E; Eastman K

2019Seow X, Zhang L, Cracknell M, Meffre S, Danyushevsky L, et al., 'Lithocap exploration tool: Alunite', AMIRA P1202 Sponsors Meeting 3, 3-4 October 2019, Santiago, pp. 397-419. (2019) [Conference Extract]

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Co-authors: Zhang L; Meffre S; Danyushevsky L; Orovan E; Eastman K

2019do Nascimento SC, Parbhakar-Fox A, Cracknell MJ, Heng WX, 'Geoenvironmental characterisation of the King River Delta: A combined geophysical, geochemical and mineralogical approach', Proceedings of the 15th SGA Biennial Meeting: Life with Ore Deposits on Earth, volume 4, 27-30 August 2019, Glasgow, Scotland, pp. 1611-1614. ISBN 9780852619643 (2019) [Refereed Conference Paper]

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Co-authors: do Nascimento SC; Parbhakar-Fox A; Heng WX

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2018Cracknell MJ, 'Data analytics: epidote deposit classification', AMIRA P1202 Sponsors Meeting 2, 28-29 November 2018, Hobart, Australia, pp. 148-160. (2018) [Conference Extract]

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2018Cracknell MJ, 'Data analytics: 3D heat source location estimation', AMIRA P1202 Sponsors Meeting 2, 28-29 November 2018, Hobart, Australia, pp. 329-342. (2018) [Conference Extract]

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2018Hood SB, Cracknell MJ, Gazley M, Reading A, 'Machine-assisted ore deposit mass balance evaluations in 3D', Resources for Future Generations (RFG2018), 16-21 June 2018, Vancouver, BC (2018) [Non Refereed Conference Paper]

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Co-authors: Hood SB; Reading A

2018Kuhn SD, Cracknell MJ, Reading AM, 'The utility of machine learning in identification of key geophysical and geochemical datasets: a case study in lithological mapping in the Central African copper belt', Proceedings of the Australasian Exploration Geoscience Conference 2018, 18-21 February 2018, Sydney, Australia, pp. 1-4. (2018) [Refereed Conference Paper]

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Co-authors: Kuhn SD; Reading AM

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2018Rodrigues A, Ailleres L, Harris A, Cracknell M, Orovan E, et al., 'Structural and textural characterization of mineralization in the Waivaka Corridor, Namosi district, Fiji', AMIRA P1202 Sponsors Meeting 2, 28-29 November 2018, Hobart, Australia, pp. 557-576. (2018) [Conference Extract]

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Co-authors: Harris A; Orovan E

2018do Nascimento SC, Cooke D, Parbhakar-Fox A, Cracknell M, 'Determining the long-term impact of historic mining on water quality: a case study on Mt Lyell, Western Tasmania, Australia', Proceedings from the Resources for Future Generations, 16-21 June 2018, Vancouver, Canada (2018) [Conference Extract]

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Co-authors: do Nascimento SC; Cooke D; Parbhakar-Fox A

2017Cracknell MJ, 'Image texture quantification from Corescan mineral classifications', International Association for Mathematical Geosciences (IAMG), 02-09 September, Perth, Australia, pp. 130. (2017) [Non Refereed Conference Paper]

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2017Gregory D, Large R, Cracknell M, Kuhn S, Maslennikov V, et al., 'Random Forest classification of pyrite trace element composition to identify ore deposit type in far-field exploration and vectoring', Society of Economic Geologists Conference 2017 Abstracts, 17-20 September 2017, Beijing, China (2017) [Non Refereed Conference Paper]

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Co-authors: Large R; Kuhn S; Maslennikov V; Belousov I; McGoldrick P; Maier R; Baker M; Fox N

2017Harraden CL, Cracknell MJ, Lett J, Berry R, 'The use of automated core logging technology to improve estimation of fracture mineralogy and weathering for geotechnical index calculations', AIG Bulletin, 26-28 July, Brisbane, pp. 73-80. (2017) [Non Refereed Conference Paper]

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Co-authors: Harraden CL; Berry R

2017Hood S, Cracknell M, 'Identifying common protoliths for altered rocks using clustering and classification of geochemical data at the Minto Copper-Gold Mine, Yukon, Canada', Extended Abstracts of Gold' 17, 21-23 February 2017, Rotorua, New Zealand, pp. 52-56. ISBN 9781876118013 (2017) [Refereed Conference Paper]

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Co-authors: Hood S

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2017Hood SB, Cracknell MJ, 'Relating altered rocks to equivalent protoliths using clustering and classification of geochemical data at the Minto copper-gold mine, Yukon, Canada', SEG 2017 Ore Deposits of Asia: China and Beyond Programme, 17-20 September 2017, Beijing, China (2017) [Non Refereed Conference Paper]

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Co-authors: Hood SB

2017Hood SB, Cracknell MJ, 'Fluid flow interpretation in fossilised hydrothermal systems using vein measurements from underground photography', SEG 2017 Ore Deposits of Asia: China and Beyond Programme, 17-20 September 2017, Beijing, China (2017) [Non Refereed Conference Paper]

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Co-authors: Hood SB

2016Cowood AL, Cracknell MJ, Moore L, 'An objective and repeatable method for the construction of Hydrogeological Landscape Units', Proceedings of Fourth Australian Regolith Geoscientists Association Conference, 7-11 February 2016, Thredbo, NSW, pp. 17-20. ISBN 9781925297034 (2016) [Non Refereed Conference Paper]

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2016Cracknell MJ, de Caritat P, 'Catchment-scale gold prospectivity analysis from the National Geochemical Survey of Australia', Proceedings of Goldschmidt 2016, 26 June-1 July 2016, Yokohama, Japan, pp. 553. (2016) [Conference Extract]

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2016Eshaghi E, Reading A, Roach M, Duffett M, Bombardieri D, et al., 'Investigating the Moho beneath onshore and offshore Tasmania using the complete Bouguer anomaly', Proceedings of Australian Earth Sciences Convention, 26-30 June 2016, Adelaide, Australia, pp. 126. ISSN 0729-011X (2016) [Conference Extract]

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Co-authors: Eshaghi E; Reading A; Roach M; Bombardieri D

2016Eshaghi E, Reading AM, Roach M, Cracknell MJ, Duffett M, et al., '3D modelling of granite intrusions in northwest Tasmania using petrophysical and residual gravity data', SEG Technical Program Expanded Abstracts 2016, 16-21 October 2016, Dallas, TX USA, pp. 1637-1642. ISSN 1949-4645 (2016) [Conference Extract]

DOI: 10.1190/segam2016-13780273.1 [eCite] [Details]

Citations: Scopus - 1

Co-authors: Eshaghi E; Reading AM; Roach M

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2016Kuhn S, Cracknell MJ, Reading AM, 'Lithological mapping via Random Forests: Information Entropy as a proxy for inaccuracy', ASEG Extended Abstracts 2016: 25th International Geophysical Conference and Exhibition, 21-24 August 2016, Adelaide, Australia, pp. 904-907. (2016) [Refereed Conference Paper]

DOI: 10.1071/ASEG2016ab196 [eCite] [Details]

Co-authors: Kuhn S; Reading AM

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2016Reading A, Cracknell M, Kuhn S, Hardy S, 'Data Driven Knowledge Discovery for Earth Sciences: Aims and Actions', Proceedings of Australian Earth Sciences Convention, 26-30 June 2016, Adelaide, Australia, pp. 372. ISSN 0729-011X (2016) [Conference Extract]

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Co-authors: Reading A; Kuhn S

2016Reading A, Halpin J, Whittaker J, Cracknell M, Gal M, et al., 'An interdisciplinary approach to constructing models of the lithosphere across the Australia-Antarctica conjugate margin', Abstracts from the Australian Earth Sciences Convention (AESC 2016), 26-30 June 2016, Adelaide, South Australia, pp. 371. (2016) [Conference Extract]

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Co-authors: Reading A; Halpin J; Whittaker J; Gal M; Morse P

2016Reading AM, Cracknell MJ, Kuhn S, 'Big Data Techniques for Applied Geoscience: Compute and Communicate', ASEG Extended Abstracts 2016: 25th International Geophysical Conference and Exhibition, 21-24 August 2016, Adelaide, Australia, pp. 581-585. (2016) [Keynote Presentation]

DOI: 10.1071/ASEG2016ab181 [eCite] [Details]

Co-authors: Reading AM; Kuhn S

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2015Cracknell MJ, Reading AM, de Caritat P, 'Geological knowledge discovery and minerals targeting from regolith using a machine learning approach', ASEG-PESA 2015, 15-18 February 2015, Perth, Australia, pp. 1-4. (2015) [Refereed Conference Paper]

DOI: 10.1071/ASEG2015ab283 [eCite] [Details]

Co-authors: Reading AM

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2015Cracknell MJ, Reading AM, de Caritat P, 'Uranium prospectivity mapping across the Australian continent via unsupervised cluster analysis of integrated remote sensing data', SEG 2015 Conference, 27-30 September 2015, Hobart, Australia (2015) [Conference Extract]

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Co-authors: Reading AM

2015Eshaghi E, Reading AM, Roach M, Cracknell MJ, Bombardieri D, et al., 'Insights into the continental structure of southeast Australia and Tasmania from passive seismic and magnetic datasets', ASEG-PESA 2015, 15-18 February 2015, Perth, Australia, pp. 1-4. (2015) [Refereed Conference Paper]

DOI: 10.1071/ASEG2015ab203 [eCite] [Details]

Co-authors: Eshaghi E; Reading AM; Roach M

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2015Green D, Cracknell M, Cumming G, 'Structural interpretation of high resolution Digital Elevation Models derived from LiDAR remote sensing', Riding The Wave: Specialist Group in Tectonics and Structural Geology, 22-27 November 2015, Caloundra, Queensland (2015) [Conference Extract]

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2015Kuhn S, Cracknell MJ, Reading AM, Roach M, 'Towards user friendly data-driven minerals exploration: lithological mapping in an orogenic gold setting', SEG 2015 Conference, 27-30 September 2015, Hobart, Australia (2015) [Conference Extract]

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Co-authors: Kuhn S; Reading AM; Roach M

2015Reading A, Halpin J, Cracknell M, 'An interdisciplinary approach to constructing models of the lithosphere and asthenosphere of Antarctica', Geophysical Research Abstracts, 12-17 April, Vienna, Austria, pp. EGU2015-4226. (2015) [Conference Extract]

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Co-authors: Reading A; Halpin J

2015Reading AM, Cracknell MJ, Bombardieri DJ, Chalke T, 'Combining machine learning and geophysical inversion for applied geophysics', ASEG-PESA 2015, 15-18 February 2015, Perth, Australia, pp. 1-4. (2015) [Refereed Conference Paper]

DOI: 10.1071/ASEG2015ab070 [eCite] [Details]

Co-authors: Reading AM

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2014Cracknell MJ, Reading AM, 'Unsupervised clustering of continental-scale geophysical and geochemical data using Self-Organising Maps', Proceedings of the 3rd Australian Regolith Geoscientists Association Conference, 6-7 February 2014, Bunbury, Australia, pp. 20-24. (2014) [Non Refereed Conference Paper]

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Co-authors: Reading AM

2013Cracknell MJ, Reading AM, McNeill AW, 'Supervised and unsupervised classification of near-mine soil Geochemistry and Geophysics data', Proceedings of the 23rd International Geophysical Conference and Exhibition, 11-14 August 2013, Melbourne, Australia, pp. 1-4. (2013) [Refereed Conference Paper]

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Co-authors: Reading AM

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Contract Report, Consultant's Report

(3 outputs)
YearCitationAltmetrics
2018Mukherjee I, Large R, Cracknell M, Bull S, Bourne B, 'Application of a technology driven approach to defining targets for Cu-Co deposits associated within the Neoproterozoic Tapley Hill formation, South Australia', DGO Gold, Hobart, Tasmania, 05 October (2018) [Contract Report]

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Co-authors: Mukherjee I; Large R; Bull S

2015Gregory D, Large R, Cracknell M, Kuhn S, 'Phase 1 report of trace elements in titanite, hematitic sediments, magnetite and chlorite vectoring study', Sandfire Resources, Hobart, Australia (2015) [Consultants Report]

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Co-authors: Gregory D; Large R; Kuhn S

2015Gregory D, Meffre S, Large R, Cracknell M, Kuhn S, 'Annual report: South Australian pyrite, hematite and magnetite fingerprint database', Department for Manufacturing, Innovation, Trade, Resources and Energy, Hobart, Australia (2015) [Consultants Report]

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Co-authors: Gregory D; Meffre S; Large R; Kuhn S

Other Public Output

(13 outputs)
YearCitationAltmetrics
2018Ahmed A, Cooke DR, Cracknell M, Hood SB, Baker M, et al., 'Yerington district, Nevada', AMIRA International, Australia (2018) [Report of Restricted Access]

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Co-authors: Ahmed A; Cooke DR; Hood SB; Baker M; Orovan E; Phillips J; Escolme A; Belousov I; Olin P; Thompson J

2018Baker M, Cooke DR, Wilkinson JJ, Orovan E, Phillips J, et al., 'Epidote Synthesis', AMIRA International, Australia (2018) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Baker M; Cooke DR; Wilkinson JJ; Orovan E; Phillips J; Ahmed A; Hollings P; Belousov I; Thompson J

2018Baker MJ, Wilkinson JJ, Cooke DR, Zhang L, Phillips J, et al., 'Chlorite Synthesis', AMIRA International, Australia (2018) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Baker MJ; Wilkinson JJ; Cooke DR; Zhang L; Phillips J; Ahmed A; Thompson J; Hollings P; Belousov I

2018Cracknell MJ, Baker M, Phillips J, Ahmed A, Garay A, 'Data Analytics', AMIRA International, Australia (2018) [Report of Restricted Access]

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Co-authors: Baker M; Phillips J; Ahmed A

2018Garay A, Belousov I, Cracknell M, Baker M, Barker S, et al., 'Potential for exploration vectoring and fertility assessments using epidote and stable isotopes at Las Bambas', AMIRA International, Australia (2018) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Belousov I; Baker M; Barker S; Meffre S; Thompson J; Cannell J; Cooke DR

2018Phillips J, Cracknell M, Meffre S, Thompson J, Baker M, et al., 'Vectors to the blind Resolution porphyry Cu-Mo deposit, Superior district, Arizona', AMIRA International, Australia (2018) [Report of Restricted Access]

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Co-authors: Phillips J; Meffre S; Thompson J; Baker M; Belousov I; Cooke DR

2018Steadman JA, Large RR, Gregory DD, Meffre S, Cracknell M, et al., 'Summary and final report on pyrite, magnetite and hematite mineral geochemistry, South Australia', Report Book 2018/00003, South Australia Geology Survey, Australia, pp. 1-25. (2018) [Government or Industry Research]

[eCite] [Details]

Co-authors: Steadman JA; Large RR; Meffre S; Kuhn S

2017Ahmed A, Cooke D, Baker M, Orovan EA, Mills S, et al., 'Chlorite and zircon mineral chemistry from the Yerington district, USA', AMIRA P1153: Applying the explorers' toolbox to discover porphyry and epithermal Cu, Au and Mo deposits, AMIRA International, Hobart, Sponsor Meeting 5, 3-4 May 2017, pp. 399-427. (2017) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Ahmed A; Cooke D; Baker M; Orovan EA; Meffre S

2017Cooke DR, Phillips J, Cracknell M, Baker M, 'Epidote synthesis', Applying the explorers' toolbox to discover porphyry and epithermal Cu, Au and Mo deposits, AMIRA P1153, Hobart, Sponsor Meeting 5, 3-4 May 2017, pp. 546-599. (2017) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Cooke DR; Phillips J; Baker M

2017Cracknell M, Baker M, 'Multivariate data analysis of epidote', Applying the explorers' toolbox to discover porphyry and epithermal Cu, Au and Mo deposits, AMIRA P1153, Hobart, Sponsor Meeting 6, 29-30 November 2017, pp. 76-92. (2017) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Baker M

2017Orovan E, Zhang L, White N, Cooke D, Cracknell M, et al., 'Vertical profile through the Tantahuatay lithocap', Applying the explorers' toolbox to discover porphyry and epithermal Cu, Au and Mo deposits, AMIRA P1153, Hobart, Sponsor Meeting 6, 29-30 November 2017, pp. 368-400. (2017) [Report of Restricted Access]

[eCite] [Details]

Co-authors: Orovan E; Zhang L; White N; Cooke D; Baker MJ

2017Steadman JA, Large RR, Gregory DD, Meffre S, Cracknell M, et al., 'Summary report on South Australia pyrite and magnetite geochemistry studies (including Mineral Systems Drilling Program pyrite project)', Geological Survey of South Australia (Department of State Development), 22 March (2017) [Government or Industry Research]

[eCite] [Details]

Co-authors: Steadman JA; Large RR; Gregory DD; Meffre S; Kuhn SD

2017Steadman JA, Large RR, Gregory DD, Meffre S, Cracknell M, et al., 'Summary report on South Australia pyrite and magnetite geochemistry studies (including Mineral Systems Drilling Program pyrite project)', Geological Survey of South Australia (Department of State Development), 22 March (2017) [Government or Industry Research]

[eCite] [Details]

Co-authors: Steadman JA; Large RR; Gregory DD; Meffre S; Kuhn S

Grants & Funding

Funding Summary

Number of grants

14

Total funding

$6,156,147

Projects

Geoenvironmental and geometallurgical characterisation of a deconstructed ore body (2022 - 2025)$82,575
Description
Material characterisation of waste rocks from surface using mapping, geophysics (e.g., Electromagnetics, resistivity and GPR), static and kinetic laboratory analysis, and field technologies (e.g., pXRF, SWIR) in order to aid opportunity recognition and decision making on the pathway to closure.
Funding
Department of State Growth (Tas) ($82,575)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Miller CB; Escolme AJ; Cracknell M
Period
2022 - 2025
Exploring, characterising and optimising complex orebodies- upscaling orebody knowledge to add value across the Mining Value Chain (P1249) (2022 - 2026)$3,973,684
Description
As explorers search large, high-grade resources at greater depths, and mining operations are required to manage mineralogically and texturally complex orebodies, it is more critical than ever to develop effective exploration and characterisation tools that can be applied at the earliest stages of exploration and resource definition to reduce cost and risk. AMIRA Global's P1249 research project will embrace the challenges and realise the opportunities provided by complex orebodies of copper, gold, critical and other metals by developing new tools, methodologies and workflows for early mineralogical characterisation of complex orebodies and their alteration halos that can be upscaled to facilitate exploration for and domaining of complex orebodies
Funding
AMIRA International Ltd ($3,973,684)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Cooke DR; Danyushevsky LV; Escolme AJ; Miller CB; Cracknell M; Baker MJ; Belousov IA; Zhang L
Period
2022 - 2026
Iron oxide copper-gold deposits: Geochemistry and Geometallurgy (2022 - 2024)$643,333
Description
Demand for Cu continues to increase as governments and corporations around the world increasingly invest in non-carbon-based forms of energy and transportation, such as wind turbines and electric vehicles. This places greater pressure on mining companies to find new Tier 1 resources. Mining companies that explore for Cu and other base or precious metals are increasing spending on deeper drilling campaigns targeted by ever more sophisticated geochemical, geophysical, and geostatistical techniques. However, new discoveries of Tier 1 Cu resources are occurring less frequently today than in previous generations, and the increase in exploration expenditure has not led to a direct increase in the number of discoveries (Fig. 1).
Funding
Department of Energy and Mining South Australia ($60,000); Department of Resources Qld ($133,333); Department of State Growth (Tas) ($30,000); Evolution Mining ($60,000); Georgina Resources Pty Ltd ($60,000); Mount Isa Mines ($120,000); Oz Minerals Limited ($120,000); Red Metal Limited ($60,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Steadman JA; Danyushevsky LV; Escolme AJ; Cracknell M; Cooke DR; Meffre SJM; Hunt JA
Period
2022 - 2024
Multidisciplinary Characterisation of Dam Materials and Drivers of Pit Lake Water Quality: Scotia Mine, NE Tasmania (2022)$19,500
Description
The Scotia mine site is located in the Northeast of Tasmania, 5 km from the town of Gladstone. The Scotia cassiterite (SnO2) and sapphire mine was constructed and operated from 2007 to 2009 by Van Diemen Mines (VDM) Pty Ltd. A series of hydrologically connected pit lakes remain on site, with management of the site becoming the responsibility of Mineral Resources Tasmania (MRT). This project aims to characterise the pit dam materials to identify the drivers of pit lake water quality and reconcile the sources of Acid and Metalliferous Drainage (AMD to inform decision making prior to the commencement of remediation activities.
Funding
Department of State Growth (Tas) ($19,500)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Miller CB; Cracknell M
Year
2022
Integrated Ore Deposit Knowledge: Optimising Mineralogical Characterisation through the Mining Value Chain (2022 - 2024)$43,281
Description
Mining of metalliferous ores is vital to support emerging technologies and society's transition to sustainable energy sources. Innovative approaches to resource extraction are required to meet these increasing demands without compromising the environment for future generations. This project aims to demonstrate how the effective integration of datasets to assist in the holistic characterisation of metal resources, including critical metals, through all stages of the mining value chain, from discovery to closure. The knowledge generated in this study will improve our understanding of the geological characteristics of ore deposits that impact mineral processing and waste products, as well as our ability to predict and manage future deleterious environmental impacts. This project will provide insights to improving economic and environmental outcomes at present and future mines in Tasmania and Australia and will inform mine permitting and planning on a global scale.Student: Markus Staubmann
Funding
Evolution Mining ($43,281)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Miller CB; Cracknell M; Cooke DR
Period
2022 - 2024
Geophysical investigation of the Royal George tailings repository, northern Tasmania (2021)$12,520
Description
Royal George is a legacy tin mine located in northeast Tasmania. Open pit mining of tin ore occurred from 1911 to 1928 with tailings dumped on site. Despite revegetation success and the construction of a diversion drain over the past decade, acid and metalliferous drainage (AMD) continues to flow from the tailings repository into the St Pauls River. This project aims to use a range of complimentary geophysical techniques to identify and map internal waterflow pathways within the tailings to assess the internal structure and thickness of tailings at the Royal George site. Information gained from the integrated analysis of the resulting geophysical models will inform land management priorities.
Funding
Department of State Growth (Tas) ($12,520)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Cracknell M; Miller CB; Roach MJ
Year
2021
Identifying unique Resistate Indicator Mineral (RIM) chemistry as a guide in prospectivity for sediment-hosted copper mineralisation (2020 - 2021)$319,800
Description
This project will collect new geochemical data from the Central African copper belt In order to test whether tltanite, apatite and tourmaline can be used as paleohydrothermal fluid proxies that can aid mineral exploration. This work has never been systematically tested before, and the outcomes and potential exploration utility are highly uncertain hence this one year pllot study. We will collect a systematic set of samples within, proximal and distal to mineralization to assess whether resfstate minerals record signatures of copper mineralization. The results could be tested by others using equivalent samples and techniques.
Funding
AMIRA International Ltd ($319,800)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Barker SL; Danyushevsky LV; Cracknell M; Hitzman M; Johnson S
Period
2020 - 2021
The geodynamic and tectonic influence on giant porphyry copper deposit architectural controls (2020 - 2023)$164,350
Description
This project will combine Machine Learning with various Earth Science fields such as structural analysis and interpretation and geodynamics, to Improve giant porphyry copper deposits exploration. Tools and techniques developed will enable the production of "expert-driven" ore deposit models through controlled inputs for different tectonic environments and mineralisation types to improve ore deposit targeting and vectoring.
Funding
First Quantum Minerals Ltd ($164,350)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Cracknell M; Cooke DR
Period
2020 - 2023
Geophysical investigation of historic Aberfoyle tailings site, northeast Tasmania (2020)$8,382
Description
The Tasmanian State Government has committed AUD$1 million over 4 years to Mining Sector Innovation Program funding (Tasmanian Government, 2017; TMEC, 2017). The aims of this fund are promoting the use of cutting-edge technologies and implementation of best practice management by the Tasmanian mining industry. This funding provides support and research projects across four key streams: 1. Innovative use of geoscientific data using new technologies;2. Investigating innovative solutions for mine rehabilitation and remediation;3. Developing best practice Acid Mine Drainage management guidelines, and4. Improving the understanding of landslip reactivation and implications for emergency responseThe proposed honours project aligns with both innovation in the use of new technologies and solutions for mine rehabilitation and remediation. The Aberfoyle Mine near Rossarden, northeast Tasmania, produced 11,000 tons of tin and 3,500 tons of wolfram from 1931 to 1982. The processed pyritic-rich tailings are stored in nine tailings dams. Recent site rehabilitation was carried out using earth capping over the tailings dam and implementation of vegetation trials. Rehabilitation aimed to decrease the effects of erosion and windblown dust on the tailings but of limited success. The lack of water retention, effects of metal contamination and drought stress, has caused the failure of revegetation trials. In a previous study conducted by McLaine et al. (2017) and McLaine (2017), the tailings were characterised using a mineralogical and geochemical approach. This study found that the tailings have high potential to generate Acid and Metalliferous Drainage (AMD) and exhibit Cd, Cu and Zn concentrations significantly above the national guidelines. Furthermore, surface soil is contaminated with deleterious elements that become more concentrated with depth. This study recommended detailed geophysical investigations be carried out to investigate the properties of soil capping across the abandoned tailings dams at the Aberfoyle site.
Funding
Department of State Growth (Tas) ($8,382)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Cracknell M; Miller CB; Cooke DR; Roach MJ
Year
2020
Hydrogeological studies of acid mine drainage at Blue Lake, Endurance Mine, north east Tasmania (2020)$28,750
Description
Mineral Resources Tasmania (MRT) was allocated AUD $1 million in funding through the Tasmanian Government's Mining Sector Innovation Initiative Program (MSIIP) to support new and continued mining activities within the state. The funding with specifically to address activities in four key areas:1.Innovative uses for geoscientific data using new technologies; 2.Investigating innovative solutions for mine rehabilitation and remediation; 3.Developing best practice Acid Mine Drainage management guidelines, and 4.Improving the understanding of landslip reactivation and implications for emergency response.This project is funded as part of stream 2, investigating innovative solutions for mine rehabilitation and remediation. This project will use innovative techniques such as:*Remote sensing data capture (e.g. use of drones and photogrammetry or LIDAR imagery)*Numerical flow modelling using drill hole data to model subsurface characteristics and groundwater flow*Mineralogical and geochemical techniques*Detection of AMD in the subsurface using electromagnetic (EM) methods
Funding
Department of State Growth (Tas) ($28,750)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Miller CB; Cracknell M; Cooke DR
Year
2020
Geochemical analysis of Ruby Lagoon and Blue Lake sediments at Endurance tailings site, north east Tasmania (2020)$16,972
Description
Mineral Resources Tasmania (MRT) has been allocated funding as part of the Tasmanian Government's Mining Sector Innovation Initiative Program (MSIIP). The initiative is aimed at developing techniques and expanding industry technologies to support the state's capacity in globally competitive mining activities. MRT was allocated $1 million to address four key project areas:1.Innovative uses for geoscientific data using new technologies. 2.Investigating innovative solutions for mine rehabilitation and remediation. 3.Developing best practice Acid Mine Drainage management guidelines, and 4.Improving the understanding of landslip reactivation and implications for emergency response.
Funding
Department of State Growth (Tas) ($16,972)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Miller CB; Cracknell M; Cooke DR
Year
2020
Ore deposits and Tectonics of SE Australia: Freeport-McMoRan (2019)$30,000
Description
This project will test and improve the techniques developed by the ARC-funded Linkage project LP160100483 (Ore deposits and tectonic evolution of the Lachlan Orogen, SE Australia). Both the existing Linkage and this new project aim to identify prospective areas for hydrothermal ore deposits in SE Australia through combining mineral chemistry with large-scale plate tectonic reconstructions. The existing Linkage project has acquired a large amount of geochronological and geochemical data on approximately 1500 samples throughout the Lachlan Orogen and developed a new prospectivity model for SE Australia using G-plates software. This new project will extend the data collection and fund a new phase of modelling that will benefit both the existing Linkage project Partners and Freeport-McMoRan.
Funding
Freeport McMoRan ($30,000)
Scheme
Contract Research
Administered By
University of Tasmania
Research Team
Meffre SJM; Steadman JA; Cracknell M; Cooke DR
Year
2019
Identification and characterisation of geological domains for geometallurgical and geoenvironmental modelling (2018 - 2019)$20,000
Description
Mining operations are increasingly reliant on digital geological data to inform all aspects of ore deposit extraction, refinement and remediation. These data, e.g. drill core hyperspectral imagery, contain information on geological features and processes that are typically interpreted by geologists using drill core logs and geochemical assays. Despite this, converting high resolution hyperspectral imagery and associated mineralogical classifications into geological knowledge that informs mine-scale block models is yet to be fully realised. This PhD project will make use of unprecedented access to multi-scale digital geological data from a variety of porphyry and epithermal ore deposits with the overarching aim of defining and characterising geological features relevant to mining operations. Research activities are expected to include investigation, assessment and implementation of image processing and supervised and unsupervised machine learning methods for defining patterns in multi-scale geological data. The outcomes of this project are expected to facilitate the integration of large volumes of digital data from diverse sources with existing geological knowledge in order to develop the next generation of models for ore deposit exploitation. As this PhD project forms part of the ARC Transforming the Mining Value Chain (TMVC) AMIRA P1202 funded "Far-field and near mine footprints" project, specifically within Module 4 "The transition zone". This project will involve close collaboration with TMVC and AMIRA P2102 project industry and academic partners.
Funding
Minerals Council of Australia ($20,000)
Scheme
Grant
Administered By
University of Tasmania
Research Team
Cracknell M; Escolme AJ; Jiang D
Period
2018 - 2019
Ore deposits and tectonic evolution of the Lachlan Orogen, SE Australia (2016 - 2019)$793,000
Description
South-east Australia has a complex and fragmented geological history. Over the past 550 million years platetectonic processes have resulted in the formation of metal-rich mineral deposits. This project aims to develop andtest models for evaluating past tectonic processes and configurations, using both new and existing geological,geophysical and isotopic data. The information gained will be used to identify areas of high potential foreconomically valuable ore deposits, thereby enabling more efficient prioritisation of mineral exploration efforts.This will increase the probability of significant ore deposit discoveries leading to national economic benefit.
Funding
Australian Research Council ($418,000)
Collaborators
Alkane Exploration NL ($30,000); AngloGold Ashanti Australia Limited ($30,000); CMOC Mining Services Pty Ltd T/A Northparkes Mines ($30,000); Department of Economic Development, Jobs, Transport and Resources ($15,000); Department of State Growth (Tas) ($15,000); Emmerson Resources Limited ($30,000); Evolution Mining ($45,000); Geological Survey of New South Wales - Department of Industry ($30,000); Geoscience Australia ($30,000); Heron Resources Limited ($30,000); New South Resources Limited ($30,000); Rio Tinto Limited ($30,000); Sandfire Resoures NL ($30,000)
Scheme
Grant-Linkage Projects
Administered By
University of Tasmania
Research Team
Meffre SJM; Whittaker J; Norman M; Cracknell M; Belousova E; Collins W; Arundell M; Cooke DR; Maas R
Period
2016 - 2019
Grant Reference
LP160100483

Research Supervision

Matthew provides support to several Higher Degree Research students – 'The Geofizz Nerds'. Matthew is looking to supervise Honours and PhD students in the fields of computational geophysics and geoinformatics.

Current

10

Completed

5

Current

DegreeTitleCommenced
PhDGeoenvironmental Characterisation of Historic MineTailings: Evaluating opportunities for reprocessing2017
PhDTectonic Evolution of the Early Palaeozoic Lachlan Orogen2018
PhDEvaluating Applications of Hyperspectral Data for Predicting Mineral Processing Attributes and Waste Characteristics of Slurries2018
PhDSpatial and Temporal Controls on the Formation of Giant Porphyry Cu Au Deposits in the Central Andes2019
MastersGeological Predictors for Pre-concentration2020
PhDProspectivity analysis of the East Tennant region2021
PhDPathways to Mineral Discoveries Through Computer-Based Modelling of Geochemical Data2021
PhDOptimising Remediation of Legacy Mines - Mineralogical controls on long-term waste rock weathering and mine drainage2022
PhDMagmatic Mineral Chemistry as a Tool for Detecting Fertile Intrusive Complexes Associated with Porphyry Copper Deposits2022
PhDIntegrated Ore Deposit Knowledge: Optimising mineralogical characterisation through the mining value chain2022

Completed

DegreeTitleCompleted
MastersGeological Controls on Grade by Size Fractionation in Gold Systems
Candidate: Nathaly Estefania Guerrero Ramirez
2022
PhDMachine Learning for Mineral Exploration: Prediction and quantified uncertainty at multiple exploration stages
Candidate: Stephen Daniel Kuhn
2021
PhDGeoelectric Structure of the Tasmanian Lithosphere from Multi-scale Magnetotelluric Data
Candidate: Thomas Charles Hughes Ostersen
2021
PhDMachine-Assisted Modelling of Lithology and Metasomatism
Candidate: Shawn Bruce Hood
2019
PhDGeotechnical and Grain Size Assessment Using Corescan Automated Core Logging and Complementary Microanalytical Techniques
Candidate: Cassady Lee Harraden
2018