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
Multiscale physics for enhanced oil recovery. The project aims to develop a multiscale mathematical and laboratory modelling methodology for combined enhanced oil recovery (EOR) and CO2 storage, and synthesise the technology for Santos’s Mulberry oilfield as a test case. The multidisciplinary team will develop advanced reservoir- and laboratory-scale mathematical models and novel laboratory methods to enhance the reliability of modern EOR and CO2 storage and increase its uptake by companies in A ....Multiscale physics for enhanced oil recovery. The project aims to develop a multiscale mathematical and laboratory modelling methodology for combined enhanced oil recovery (EOR) and CO2 storage, and synthesise the technology for Santos’s Mulberry oilfield as a test case. The multidisciplinary team will develop advanced reservoir- and laboratory-scale mathematical models and novel laboratory methods to enhance the reliability of modern EOR and CO2 storage and increase its uptake by companies in Australia and globally. The expected outcomes are a pioneering methodology with environmental benefits without additional drilling and reduction of greenhouse effect, and economic benefit to the Australian oil industry through increases in productivity.Read moreRead less
ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the miner ....ARC Centre of Excellence for Enabling Eco-Efficient Beneficiation of Minerals. The aim of the Centre is to progress scientific knowledge to establish transformational improvement in minerals beneficiation, essential for meeting global demand for metals. The research aims to achieve more selective, faster, and efficient separations, combining major advances in separation technologies with increased functionality of new reagents. The Centre outcomes will also ensure the sustainability of the minerals industry in Australia, through a significant reduction in cost, environmental impact, and through lower energy and water usage. The Centre also seeks to establish a new generation of scientists and research leaders in minerals beneficiation to support the innovation needed into the future by this major Australian industry.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
Multiscale physics theory to understand secondary migration of hydrocarbons. This project aims to derive mathematical models to reveal the geological history of how petroleum accumulates at laboratory, reservoir, and basin scales. The project will identify secondary migration trajectories of hydrocarbons from source rocks to stratigraphic traps, to optimise exploration for energy resources. By enabling multiscale analytical modelling, the new model will improve the reliability of reservoir chara ....Multiscale physics theory to understand secondary migration of hydrocarbons. This project aims to derive mathematical models to reveal the geological history of how petroleum accumulates at laboratory, reservoir, and basin scales. The project will identify secondary migration trajectories of hydrocarbons from source rocks to stratigraphic traps, to optimise exploration for energy resources. By enabling multiscale analytical modelling, the new model will improve the reliability of reservoir characterisation at the crucial initial exploitation stage, and prediction of oil-gas distribution in petroleum basin. The novel multiscale approach is expected to significantly improve exploration and exploitation and create highly skilled jobs to incorporate such modelling into the energy sector.Read moreRead less
A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for ....A spatio-temporal partitioning approach to colloidal flows in porous media. This project aims to develop an efficient multi-scale laboratory-based modelling framework for colloidal suspensions flow in porous media by utilizing recent advances in 3D/4D image-based geometrical/topological analysis. Regional partitioning techniques based on local structural measures are used to observe the penetration/retention of colloids into identified zones. Zone-dependent colloid interaction probabilities for computational modelling are derived from fundamental relationships. Expected outcomes of this project include a full-scale modelling capability for heterogeneous samples validated by experiment and the extraction of robust model coefficients for newly developed theory for colloid-suspension transport through porous media.Read moreRead less