Particle-scale modelling of particle-fluid flows in gas and oil extraction. Particle-scale modelling of particle-fluid flows in gas and oil extraction. This project aims to develop a particle scale model to study the pipeline transport of petroleum fluids. It will use a combined theoretical and experimental program, involving state-of-the-art discrete element modelling and simulation techniques, to describe the complex particle-fluid flow and erosion of pipeline transport in gas and oil extracti ....Particle-scale modelling of particle-fluid flows in gas and oil extraction. Particle-scale modelling of particle-fluid flows in gas and oil extraction. This project aims to develop a particle scale model to study the pipeline transport of petroleum fluids. It will use a combined theoretical and experimental program, involving state-of-the-art discrete element modelling and simulation techniques, to describe the complex particle-fluid flow and erosion of pipeline transport in gas and oil extraction, quantify the effects of key variables, and formulate strategies for optimum process control under different conditions. The research outcomes are expected to be useful for the process control of pipeline transport in Australia’s important petroleum and energy-related industries.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
Novel technology for enhanced coal seam gas production utilising mechanisms of stimulated cleat permeability through graded particle injection. This cross-disciplinary project will develop a new integrated technology for well productivity enhancement in coal seam gas, shale, tight gas and geothermal reservoirs - the world’s fastest growing unconventional clean energy resources. It will improve our understanding of the multi scale physics of natural gas and energy production.
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