Enhanced productivity of coal seam gas wells by continuous gas circulation. This project aims to develop foam assisted continuous gas circulation for dewatering new and existing coal seam gas wells. The potential benefits of this new method include enhanced gas production, better well control, reduced costs and better environmental effectiveness. The proposed solution eliminates the need for mechanical pumps which are currently used for dewatering, and which fail regularly due to gas and solids ....Enhanced productivity of coal seam gas wells by continuous gas circulation. This project aims to develop foam assisted continuous gas circulation for dewatering new and existing coal seam gas wells. The potential benefits of this new method include enhanced gas production, better well control, reduced costs and better environmental effectiveness. The proposed solution eliminates the need for mechanical pumps which are currently used for dewatering, and which fail regularly due to gas and solids accumulation within the production wells. Continuous gas circulation could achieve significant savings in downtime and maintenance costs. In addition, reducing onsite maintenance will minimise access requirements for maintenance rigs which disrupt rural activities where the wells are located, thus easing local traffic and reduce the environmental impacts that are associated with well workovers.Read moreRead less
Linking topology and rheology for designing supramolecular polymer networks. This project aims to develop a foundation for understanding how microscopic topology and intermolecular interactions control the flow behaviour of supramolecular polymer networks. Brownian dynamics algorithms will be developed to unravel the complex dynamics of the network and calibrated by comparison with carefully designed experiments. The expected outcome of the project is a quantitative framework for connecting the ....Linking topology and rheology for designing supramolecular polymer networks. This project aims to develop a foundation for understanding how microscopic topology and intermolecular interactions control the flow behaviour of supramolecular polymer networks. Brownian dynamics algorithms will be developed to unravel the complex dynamics of the network and calibrated by comparison with carefully designed experiments. The expected outcome of the project is a quantitative framework for connecting the molecular structure and energy landscape with resulting macroscopic properties. This project should yield significant benefit in the rational design of supramolecular systems in which the thermorheological properties can be tuned over a wide range of force/time scales with applications spanning from enhanced oil recovery to injectable hydrogels.Read moreRead less
Unlocking Australia's offshore gas endowment. This project aims to develop practical new methods of predicting and detecting the formation of solids in gas and liquefied natural gas (LNG) production. Australia has large offshore reserves of natural gas and has made the investments necessary to help fuel the global transition to cleaner, reliable energy sources. However, conventional engineering approaches of producing gas from deep-water reserves have reached the limits of viability because of t ....Unlocking Australia's offshore gas endowment. This project aims to develop practical new methods of predicting and detecting the formation of solids in gas and liquefied natural gas (LNG) production. Australia has large offshore reserves of natural gas and has made the investments necessary to help fuel the global transition to cleaner, reliable energy sources. However, conventional engineering approaches of producing gas from deep-water reserves have reached the limits of viability because of the costs required to prevent solids forming in subsea pipelines or cryogenic LNG plants. The project’s expected outcome include sophisticated tools in open-access software based on these new predictive methods, and a step-change in Australia’s ability to access its offshore gas.Read moreRead less
Rare Earth Metal Separation by Polymer Inclusion Membranes. The project aims to develop a novel hydrometallurgical method for the separation of the rare earth metals dysprosium and terbium from mixed rare earth metal solutions using polymer inclusion membranes with a crosslinked or non-crosslinked polymer backbone. These metals are crucial for the manufacturing of advanced technology products. The membrane-based method is expected to offer significant advantages over the currently used solvent e ....Rare Earth Metal Separation by Polymer Inclusion Membranes. The project aims to develop a novel hydrometallurgical method for the separation of the rare earth metals dysprosium and terbium from mixed rare earth metal solutions using polymer inclusion membranes with a crosslinked or non-crosslinked polymer backbone. These metals are crucial for the manufacturing of advanced technology products. The membrane-based method is expected to offer significant advantages over the currently used solvent extraction methods by eliminating the use of solvents and conducting the separation as a continuous process where the extraction and back-extraction steps take place simultaneously. These advantages are expected to make the separation process more cost-effective and drastically reduce its environmental impact.Read moreRead less
Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. D ....Data-driven modelling of complex reactive flows. Complex reactive flow is dominant in many chemicals, physical and biological processes and should be optimised online for operational efficiency and stability, yet it is hindered by the lack of reliable model techniques. The project tackles this challenge by developing a next-generation data-driven modelling approach via integrating continuum/discrete-scale fluid-particle dynamics with system/control theories, supported by lab/plant experiments. Driven by online data, the generic approach can open up a powerful way to reliably describe the inner state of reactors and online predict operation anomalies. The outcomes can help transform a range of industries to smart manufacturing and design, which is vital to Australia's technological future.Read moreRead less
Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achiev ....Data-based Control of Process Feature Dynamics through Latent Behaviours. This project aims to develop a novel data-based approach to control the feature dynamics of complex industrial processes. The dynamic features of desired process operations (leading to high energy and material efficiencies and good product quality) are often not directly measured but can be distilled from high-dimensional big process data. However, little effort has been made to develop process control approaches to achieve desired dynamic features. This project aims to develop such a data-based approach by controlling latent variable dynamics, using the behavioural systems framework integrated with big data analytics and artificial neural networks. The outcomes are expected to help build a cornerstone for future smart manufacturing.Read moreRead less