Core-scale geodynamic rock-typing of reservoir rock. This project aims to develop a robust classification method for reservoir rock incorporating static, dynamic and mechanical attributes via multiscale digital core analysis using the concept of regional measures. Rock-types are used to populate reservoir models in a sophisticated routine of geological classification, spatial modelling and uncertainty analysis. Introducing high-resolution rock-types incorporating hydraulic properties and compact ....Core-scale geodynamic rock-typing of reservoir rock. This project aims to develop a robust classification method for reservoir rock incorporating static, dynamic and mechanical attributes via multiscale digital core analysis using the concept of regional measures. Rock-types are used to populate reservoir models in a sophisticated routine of geological classification, spatial modelling and uncertainty analysis. Introducing high-resolution rock-types incorporating hydraulic properties and compaction allows the development of a new generation of reservoir simulators. The project aims to derive a consistent high-resolution definition of rock-types incorporating compaction for petrophysical, geological and reservoir engineering purposes. This would greatly enhance our capacity to develop thinly layered reservoirs with direct applications in 4-D seismic reservoir characterisation and the development of unconventional reservoirs.Read moreRead less
Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technolo ....Doped metal perovskites for electrocatalysis. This project aims to discover and design perovskite metal-oxide electrocatalyst materials and develop electrocatalytic methods for efficiently driving the oxygen evolution reaction and the oxygen reduction reaction. These are the two most crucial reactions in sustainable energy cycles involving water, hydrogen and oxygen. The project’s anticipated advances in electrocatalysis efficiency for these two reactions will benefit sustainable energy technologies such as fuel cells, metal air batteries and water splitting.Read moreRead less
Assessing reservoir performance for carbon storage in saline aquifers. This project aims to develop a multiscale framework of site characterisation for carbon storage in deep saline aquifers and calculate measures of injectivity, storage capacity and containment. Carbon capture and storage could reduce carbon emissions within two decades. Carbon dioxide emissions are the most important drivers of climate change, with detrimental effects on humans and their environment, including water security, ....Assessing reservoir performance for carbon storage in saline aquifers. This project aims to develop a multiscale framework of site characterisation for carbon storage in deep saline aquifers and calculate measures of injectivity, storage capacity and containment. Carbon capture and storage could reduce carbon emissions within two decades. Carbon dioxide emissions are the most important drivers of climate change, with detrimental effects on humans and their environment, including water security, agriculture, coastal communities, and infrastructure. This project will improve assessment of reservoir performance for carbon storage in saline aquifers, and help reduce carbon emissions.Read moreRead less
Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reserv ....Multiscale modelling of multiphase interactions in shale gas reservoirs. As conventional oil and gas become depleted in most of the producing basins, extraction of unconventional gas trapped in shale formations needs to become more viable. Since Australian shales have different characteristics from North American ones, the existing knowledge cannot be directly applied. We aim to develop a novel multiscale framework for deep understanding of the complex multiphase interactions in shale gas reservoirs. The outcomes will not only enable us to effectively assess the viability of gas extraction from Australian shale reservoirs with accurate long-term production forecasting, but help to develop strategies to effectively extract this relatively low carbon-emitting fossil fuel in the transition to a renewable economy.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
Geological sequestration of carbon dioxide in deep saline aquifers: coupled flow-mechanical considerations. Deep saline aquifers have been routinely proposed as sites for long-term, large-scale storage of carbon dioxide (CO2) emissions, as an option to assist the abatement of global warming. This project investigates expected engineering behaviour of deep saline aquifer reservoirs and their stability following CO2 sequestration.