Industrial Transformation Training Centres - Grant ID: IC180100008
Funder
Australian Research Council
Funding Amount
$3,981,223.00
Summary
ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing. The ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing aims to connect the detailed microscopic characteristics of materials with their macroscopic properties and design characteristics of natural and manufactured structures. It will train a new generation of researchers and practitioners in the emerging discipline of Digital Materials. The approach allows optimisation at all scales, enabling cost ....ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing. The ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing aims to connect the detailed microscopic characteristics of materials with their macroscopic properties and design characteristics of natural and manufactured structures. It will train a new generation of researchers and practitioners in the emerging discipline of Digital Materials. The approach allows optimisation at all scales, enabling cost reductions and performance enhancements in key industries, including Oil, Gas and Energy Resources, Medical Technologies, and Advanced Manufacturing. The Centre expects to reduce the time needed in the prototyping cycle and product development, increasing industry’s capacity for accelerated innovation. The developments will build world-class Australian capabilities for developing high-value scaleable production of bespoke products and optimised process design.Read moreRead less
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100095
Funder
Australian Research Council
Funding Amount
$620,000.00
Summary
High-resolution X-ray micro computed tomography supporting West Australian geo-, physical and biological science. An X-ray micro computed tomography facility will provide West Australian researchers with much needed access to cutting-edge instrumentation for high-resolution three-dimensional imaging. This facility will support major research programs in key disciplines, including minerals and mining, energy, medical and biological sciences.
Testing theories of two-phase fluid flow in porous media through experiment, imaging and modelling. The process underlying oil extraction, groundwater flow and the sequestration of carbon dioxide is that of one fluid pushing another out of the microscopic spaces in porous rocks and soils. Using the latest three-dimensional X-ray microscopes and computing technology, the project will image and model these fluid flows, allowing theories to be tested for the first time.
Dynamic tomography: high-resolution, four-dimensional imaging of processes. This project will develop imaging technology that allows us to collect detailed, three dimensional movies of complex, microscopic processes in a laboratory. This technology will have applications in soil science, biology, oil extraction, and carbon sequestration.
Linkage Infrastructure, Equipment And Facilities - Grant ID: LE120100112
Funder
Australian Research Council
Funding Amount
$275,000.00
Summary
A Raman facility for advanced research supporting Australia’s natural gas, oil, coal and minerals industries. This modern Raman Spectroscopy facility will support the science and engineering that underpins the production and processing of Australia’s natural resources. Using high-pressure fibre optics, novel lasers and advanced imaging, the facility will enable the monitoring and improvement of processes and materials under extreme conditions.
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
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