ORCID Profile
0000-0001-8184-3461
Current Organisations
University of Queensland
,
La Trobe University
,
Arup Group Ltd
,
The Mining Journal Ltd
,
Fortescue Metals Group Ltd.
,
Rio Tinto
,
BHP Billiton (Technology)
,
Bureau Veritas Group
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Publications
Certifying Pregnancy Loss in Australia: Registration, Recognition, and the Colonial State
Publisher: Informa UK Limited
Date: 03-07-2017
Integrating the Theory of Sampling into Underground Mine Grade Control Strategies
Publisher: MDPI AG
Date: 29-05-2018
DOI: 10.3390/MIN8060232
Abstract: Grade control in underground mines aims to deliver quality tonnes to the process plant via the accurate definition of ore and waste. It comprises a decision-making process including data collection and interpretation local estimation development and mining supervision ore and waste destination tracking and stockpile management. The foundation of any grade control programme is that of high-quality s les collected in a geological context. The requirement for quality s les has long been recognised, where they should be representative and fit-for-purpose. Once a s ling error is introduced, it propagates through all subsequent processes contributing to data uncertainty, which leads to poor decisions and financial loss. Proper application of the Theory of S ling reduces errors during s le collection, preparation, and assaying. To achieve quality, s ling techniques must minimise delimitation, extraction, and preparation errors. Underground s ling methods include linear (chip and channel), grab (broken rock), and drill-based s les. Grade control staff should be well-trained and motivated, and operating staff should understand the critical need for grade control. S ling must always be undertaken with a strong focus on safety and alternatives sought if the risk to humans is high. A quality control/quality assurance programme must be implemented, particularly when s les contribute to a reserve estimate. This paper assesses grade control s ling with emphasis on underground gold operations and presents recommendations for optimal practice through the application of the Theory of S ling.
Unravelling rights: 'Illegal' migrant domestic workers in South Africa
Publisher: Informa UK Limited
Date: 06-2011
Integrating the Theory of Sampling into Underground Mine Grade Control Strategies: Case Studies from Gold Operations
Publisher: MDPI AG
Date: 17-04-2019
DOI: 10.3390/MIN9040238
Abstract: Grade control aims to deliver adequately defined tonnes of ore to the process plant. The foundation of any grade control programme is collecting high-quality s les within a geological context. The requirement for quality s les has long been recognised, in that these should be representative and fit-for-purpose. Correct application of the Theory of S ling reduces s ling errors across the grade control process, in which errors can propagate from s le collection through s le preparation to assay results. This contribution presents three case studies which are based on coarse gold-dominated orebodies. These illustrate the challenges and potential solutions to achieve representative s ling and build on the content of a previous publication. Solutions ranging from bulk s les processed through a plant to whole-core s ling and assaying using bulk leaching, are discussed. These approaches account for the nature of the mineralisation, where extreme gold particle-clustering effects render the analysis of small-scale s les highly unrepresentative. Furthermore, the analysis of chip s les, which generally yield a positive bias due to over-s ling of quartz vein material, is discussed.
Geometallurgical Study of a Gravity Recoverable Gold Orebody
Publisher: MDPI AG
Date: 29-04-2018
DOI: 10.3390/MIN8050186
Strategic and Tactical Geometallurgical Application in an Underground High-Grade Narrow-Vein Gold Operation
Publisher: Springer International Publishing
Date: 30-11-2019
Geologist in the Loop: A Hybrid Intelligence Model for Identifying Geological Boundaries from Augmented Ground Penetrating Radar
Publisher: MDPI AG
Date: 08-07-2021
DOI: 10.3390/GEOSCIENCES11070284
Abstract: Common industry practice means that geological or stratigraphic boundaries are estimated from exploration drill holes. While exploration holes provide opportunities for accurate data at a high resolution down the hole, their acquisition is cost-intensive, which can result in the number of holes drilled being reduced. In contrast, s ling with ground-penetrating radar (GPR) is cost-effective, non-destructive, and compact, allowing for denser, continuous data acquisition. One challenge with GPR data is the subjectivity and challenges associated with interpretation. This research presents a hybrid model of geologist and machine learning for the identification of geological boundaries in a lateritic deposit. This model allows for an auditable, probabilistic representation of geologists’ interpretations and can feed into exploration planning and optimising drill c aigns in terms of the density and location of holes.
A comparison of 2D and 3D shape characterisations of free gold particles in gravity and flash flotation concentrates
Publisher: Elsevier BV
Date: 10-2015
Integrating the Theory of Sampling into Underground Mine Grade Control Strategies: Case Studies from Gold Operations
Publisher: MDPI AG
Date: 17-04-2019
DOI: 10.3390/MIN9040238
Abstract: Grade control aims to deliver adequately defined tonnes of ore to the process plant. The foundation of any grade control programme is collecting high-quality s les within a geological context. The requirement for quality s les has long been recognised, in that these should be representative and fit-for-purpose. Correct application of the Theory of S ling reduces s ling errors across the grade control process, in which errors can propagate from s le collection through s le preparation to assay results. This contribution presents three case studies which are based on coarse gold-dominated orebodies. These illustrate the challenges and potential solutions to achieve representative s ling and build on the content of a previous publication. Solutions ranging from bulk s les processed through a plant to whole-core s ling and assaying using bulk leaching, are discussed. These approaches account for the nature of the mineralisation, where extreme gold particle-clustering effects render the analysis of small-scale s les highly unrepresentative. Furthermore, the analysis of chip s les, which generally yield a positive bias due to over-s ling of quartz vein material, is discussed.
Towards Representative Metallurgical Sampling and Gold Recovery Testwork Programmes
Publisher: MDPI AG
Date: 04-05-2018
DOI: 10.3390/MIN8050193
Probiotics and mastitis: Evidence-based marketing?
Publisher: Springer Science and Business Media LLC
Date: 21-07-2016
Geometallurgy—A Route to More Resilient Mine Operations
Publisher: MDPI AG
Date: 12-2018
DOI: 10.3390/MIN8120560
Abstract: Geometallurgy is an important addition to any evaluation project or mining operation. As an integrated approach, it establishes 3D models which enable the optimisation of net present value and effective orebody management, while minimising technical and operational risk to ultimately provide more resilient operations. Critically, through spatial identification of variability, it allows the development of strategies to mitigate the risks related to variability (e.g., collect additional data, revise the mine plan, adapt or change the process strategy, or engineer flexibility into the system). Geometallurgy promotes sustainable development when all stages of extraction are performed in an optimal manner from a technical, environmental, and social perspective. To achieve these goals, development of innovative technologies and approaches along the entire mine value chain are being established. Geometallurgy has been shown to intensify collaboration among operational stakeholders, creating an environment for sharing orebody knowledge and improving data acquisition and interpretation, leading to the integration of such data and knowledge into mine planning and scheduling. These aspects create better business optimisation and utilisation of staff, and lead to operations that are more resilient to both technical and non-technical variability. Geometallurgy encompasses activities that utilise improved understanding of the properties of ore and waste, which impact positively or negatively on the value of the product, concentrate, or metal. Properties not only include those that impact on processing efficiency, but also those of materials which will impact on other actions such as blasting and waste management. Companies that embrace the geometallurgical approach will benefit from increased net present value and shareholder value.
Related Organisations
Arup Group Ltd
Location: United Kingdom of Great Britain and Northern Ireland
The Mining Journal Ltd
Location: United Kingdom of Great Britain and Northern Ireland
Camborne School Of Mines
Location: United Kingdom of Great Britain and Northern Ireland
University Of Leicester
Location: United Kingdom of Great Britain and Northern Ireland
University Of Nottingham
Location: United Kingdom of Great Britain and Northern Ireland
Related Funding Activities
No related grants have been discovered for Louisa O'Connor.