Subsurface fluid flow through fractures in sedimentary basins. This project aims to improve understanding of subsurface fluid transport through fractures. Fractures in rock provide interconnected, hydraulically conductive networks enabling large-volume fluid transport through sedimentary basins. The ability of a fracture to transmit fluid is primarily controlled by the in situ stress field, but also by rock strength, fracture plane orientation and roughness and pore-fluid pressure. We have a goo ....Subsurface fluid flow through fractures in sedimentary basins. This project aims to improve understanding of subsurface fluid transport through fractures. Fractures in rock provide interconnected, hydraulically conductive networks enabling large-volume fluid transport through sedimentary basins. The ability of a fracture to transmit fluid is primarily controlled by the in situ stress field, but also by rock strength, fracture plane orientation and roughness and pore-fluid pressure. We have a good understanding of in situ stress within many sedimentary basins, but know very little about the nature and origin of natural fractures. This project aims to provide a detailed, quantitative understanding of the nature and origin of natural fractures in the subsurface, which is critical for predicting fluid migration within aquifers, carbon dioxide storage sites, and geothermal and hydrocarbon reservoirs.Read moreRead less
A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-up ....A multi-scale theory for solid-granular transition due to fragmentation. The prediction of rock fragmentation and fragment sizes during its phase transition from solid (rock mass) to granular (ore fragments) is the most crucial problem in a cave mining operation. Current practice relies on empirical tools without fundamentals of fracture, and hence cannot reliably predict the fragmentation process and fragment sizes. This can lead to huge economic loss due to damage to extraction points, hold-ups for safety precautions, and mine closures. The project will develop a new theory and models to describe this solid-granular transition, and computational tools for simulations of cave mining operations. The expected benefits and outcomes include safer operations, and better control of production schedule and budgeting.Read moreRead less
Critical metals from complex copper ores. The aims of this project address the critical mineral resource potential of complex copper ores. The research will generate new knowledge on the concentration, distribution, physical form and chemical speciation of critical minerals, including tellurium, cobalt and rare earth elements, in ores and processing streams using innovative approaches and utilising state-of-the-art analytical techniques. Expected outcomes include integrated models for critical e ....Critical metals from complex copper ores. The aims of this project address the critical mineral resource potential of complex copper ores. The research will generate new knowledge on the concentration, distribution, physical form and chemical speciation of critical minerals, including tellurium, cobalt and rare earth elements, in ores and processing streams using innovative approaches and utilising state-of-the-art analytical techniques. Expected outcomes include integrated models for critical element endowments in Australia's largest copper resource, Olympic Dam (S.A.). Future recovery of these elements would add significant value to existing operations, providing long-term economic and commercial benefits and would also contribute to Australia's transition to a low-carbon future.Read moreRead less
Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty a ....Enabling three dimensional stochastic geological modelling. This project aims to develop technologies to mitigate three dimensional (3D) geological risk in resources management. This project expects to create new knowledge and methods in the field of 3D geological modelling through the innovative application of mathematical methods, structural geology concepts and probabilistic programming. The expected outcomes are an enhanced capability to model the subsurface, characterise model uncertainty and test multiple geological scenarios. This enhanced capability is important for the future of Australia's subsurface management, including urban geology and our continuously growing sustainable resources industry.Read moreRead less
Fluid-induced creation and decay of porosity and permeability in minerals. This project aims to investigate the role of hydrothermal fluids in the creation and decay of porosity and permeability in minerals. By developing new experimental techniques and undertaking experimental studies mimicking natural conditions, this project expects to generate knowledge of the fundamental relationships between fluid-mineral reactions, pore creation and decay, pore geometry and connectivity, and the mechanism ....Fluid-induced creation and decay of porosity and permeability in minerals. This project aims to investigate the role of hydrothermal fluids in the creation and decay of porosity and permeability in minerals. By developing new experimental techniques and undertaking experimental studies mimicking natural conditions, this project expects to generate knowledge of the fundamental relationships between fluid-mineral reactions, pore creation and decay, pore geometry and connectivity, and the mechanism for the formation of fluid inclusions. This should provide significant benefits such as a deeper understanding of the hydrothermal fluids flowing through tight rocks in the Earth’s crust to form orebodies, and provide a scientific basis to underpin the development of greener technologies for recovering natural resources.Read moreRead less
Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ ....Controlling arsenic to unlock value in gold and copper resources. This project aims to characterise the transformation of arsenic between oxidation states during mineral processing. Up to one third of the world’s gold reserves are locked up in arsenic rich minerals and 5000 tonnes of arsenic is released annually from mine waste. The project will enable the development of process technology that immobilises and removes arsenic at the earliest possible stage. The use of novel time-resolved in-situ techniques proposed in this research will give vital information of the complex chemical pathways involved during processing which current characterization methods on pre- and post-processed species do not achieve.Read moreRead less
Industrial Transformation Training Centres - Grant ID: IC190100017
Funder
Australian Research Council
Funding Amount
$3,703,664.00
Summary
ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource ....ARC Training Centre for Integrated Operations for Complex Resources. This Training Centre aims to increase value in mining through clever applications of ‘lean processing’ and train the next generation of scientists and engineers in advanced sensors and data analytics in complex resources; knowledge priorities for the mining industry. Sensor information will be linked to the resource’s in-place knowledge to enable data analytics of all embedded knowledge. Processing can then be tuned to resource attributes, maximising value ‘on the fly’. Benefits will include increasing certainty on product quality and maximising throughput and recovery. Outcomes will include new tools to rapidly model geological and geometallurgical uncertainty with sensor inputs, to track the resource to product and enhance interpretation.Read moreRead less
A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establis ....A Machine Learning driven flow modelling of fragmented rocks in cave mining. The project aims to develop an integrated method that uses micro scale and macro scale information to predict block scale behaviour so that a better cave mining design can be established. The role of various mineral composition on the energy storage and fracture properties of rocks will be investigated to examine rock fragmentation for block cave mining. Later Machine Learning based models will be developed to establish various predictive models for Block Scale rock mass behaviour and caveability of ore deposit. Finally, we will develop a new constitutive model based on a dual damage concept that will capture the rock fragmentation and simulate the cave propagation in a large scale mine layout using Smoothed-particle hydrodynamics.Read moreRead less
Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and be ....Real-time scheduling of trains to control peak electricity demand. This project aims to develop new scheduling and control methods that will enable railways to reduce their demand for electricity during peak demand periods, without undue disruption to the timetable.
These new methods and systems will integrate with—and expand the capabilities of—an Australian train control system that is used by railways around the world. This will enable better management of electricity within a region and better use of renewable energy sources, with significant cost savings for railways and the wider community.Read moreRead less
Hydrogen generation by subsurface iron mineral transformations. Aim
The aim of this project is to elucidate key factors responsible for natural hydrogen generation in Australian subsurface environments.
Significance
Large amounts of this valuable resource are produced naturally with estimates of production rates of this “gold” hydrogen at least 100 times the annual demand for this critical resource.
Expected Outcomes
Based on improved understanding of the source of natural hydrogen, predictive ....Hydrogen generation by subsurface iron mineral transformations. Aim
The aim of this project is to elucidate key factors responsible for natural hydrogen generation in Australian subsurface environments.
Significance
Large amounts of this valuable resource are produced naturally with estimates of production rates of this “gold” hydrogen at least 100 times the annual demand for this critical resource.
Expected Outcomes
Based on improved understanding of the source of natural hydrogen, predictive tools will be developed that will assist in assessing the viability in Australia of hydrogen exploration and engineered retrieval.
Benefits
Ready access to naturally produced hydrogen could enable Australia to replace hydrogen that is currently generated via the use of unabated hydrocarbons.Read moreRead less