Dual-ion electrochemical systems. The project aims to develop dual-ion electrochemical systems. In contrast to conventional single-ion rechargeable cells, the charge storage process in the cathodes of these devices is facilitated by a second, negative ion. Dual-ion systems represent robust alternatives to current lithium-ion batteries and lithium-ion capacitors, addressing their sustainability and energy density limitations. The project’s outcomes are in the form of new sustainable energy storag ....Dual-ion electrochemical systems. The project aims to develop dual-ion electrochemical systems. In contrast to conventional single-ion rechargeable cells, the charge storage process in the cathodes of these devices is facilitated by a second, negative ion. Dual-ion systems represent robust alternatives to current lithium-ion batteries and lithium-ion capacitors, addressing their sustainability and energy density limitations. The project’s outcomes are in the form of new sustainable energy storage technologies with attrative energy and power densities for a wide range of applications. This should provide a significant benefit to society, the economy and the environment in enabling an easier transition to clean energy and ensuring energy security in Australia.Read moreRead less
X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combinat ....X-ray imaging and magnetic resonance approach for enhanced oil recovery. This project aims to develop an efficient multi-scale modelling capability to quantify the effect of two-phase fluid flow within porous material by modelling rock wettability heterogeneity and alteration on two-phase flow performance for heterogeneous rock. Super-resolution methods combined with a deep learning approach will be used to determine a digital representation of reservoir rock, achieving an unprecedented combination of resolution necessary to resolve small-scale fluid connectivity and field of view required to capture heterogeneity. The project expects to develop a workflow to populate a high-resolution model with wettability parameters by combining micro-CT imaging with nuclear magnetic resonance measurements. This improved understanding should provide significant benefits by enhancing our capability to optimise enhanced oil and gas recovery programs.Read moreRead less