A5050047327- Enhanced Oil Recovery Techniques
- Hydrocarbon exploration and reservoir analysis
- Hydraulic Fracturing and Reservoir Analysis
- Coal Properties and Utilization
- Groundwater flow and contamination studies
- CO2 Sequestration and Geologic Interactions
- Seismic Imaging and Inversion Techniques
- Drilling and Well Engineering
- Mineral Processing and Grinding
- Lattice Boltzmann Simulation Studies
- Medical Imaging Techniques and Applications
- Rock Mechanics and Modeling
- Reservoir Engineering and Simulation Methods
- Pickering emulsions and particle stabilization
- Geochemistry and Geologic Mapping
- Methane Hydrates and Related Phenomena
- NMR spectroscopy and applications
- Surgical Simulation and Training
- Augmented Reality Applications
- Anatomy and Medical Technology
- Advanced Image Processing Techniques
- Geophysical and Geoelectrical Methods
- Advanced Mathematical Modeling in Engineering
- Electrical and Bioimpedance Tomography
- Petroleum Processing and Analysis
UNSW Sydney
2016-2025
University of North Carolina at Chapel Hill
1987-2023
Miami University
2023
Virginia Tech
2021
Queen's University Belfast
2021
Western University
2012-2017
Shell (Netherlands)
2013-2016
University of Stuttgart
2015
Oregon State University
2011-2014
University of Wyoming
2014
Abstract During imbibition, initially connected oil is displaced until it trapped as immobile clusters. While initial and final states have been well described before, here we image the dynamic transient process in a sandstone rock using fast synchrotron‐based X‐ray computed microtomography. Wetting film swelling subsequent snap off, at unusually high saturation, decreases nonwetting phase connectivity, which leads to fragmentation into mobile ganglia, i.e., ganglion dynamics regime. We find...
In multiphase flow in porous media the consistent pore to Darcy scale description of two-fluid processes has been a long-standing challenge. Immiscible displacement occur at individual pores. However, larger behavior is described by phenomenological relationships such as relative permeability, which typically uses only fluid saturation state variable. As consequence properties contact angle cannot be directly related parameters. Advanced imaging and computational technologies are closing gap...
Abstract The macroscopic description of the hysteretic behavior two‐phase flow in porous media remains a challenge. It is not obvious how to represent underlying pore‐scale processes at Darcy‐scale consistent way. thermodynamic models do completely eliminate hysteresis and our findings indicate that shape displacement fronts an additional source has been considered before. This shortcoming because effective process such as trapping efficiency CO 2 or oil production during water flooding are...
Abstract Proton exchange membrane fuel cells, consuming hydrogen and oxygen to generate clean electricity water, suffer acute liquid water challenges. Accurate modelling is inherently challenging due the multi-phase, multi-component, reactive dynamics within multi-scale, multi-layered porous media. In addition, currently inadequate imaging capabilities are limiting simulations small areas (<1 mm 2 ) or simplified architectures. Herein, an advancement in achieved using X-ray micro-computed...
Drainage is typically understood as a process where the pore space invaded by nonwetting phase pore-by-pore, controlling parameters of which are represented capillary number and mobility ratio. However, what less experimental data lacking direct knowledge dynamics drainage associated intrinsic time scales since rate dependencies often observed with displacement processes potentially dependent on these scales. Herein, we study events high speed camera in micromodel system analyze dependency...
Abstract For subsurface flow, the correct definition for balance of viscous and capillary forces, so‐called number ( Ca ), which predicts mobilization nonwetting phase, has been a long‐standing controversy. The most common microscopic results in phase at ~10 −5 , is counterintuitive. Rather, should occur ≥ 1. As demonstrated herein, by using fast synchrotron‐based X‐ray computed microtomography averaging thereby accessible pore‐scale parameters to macroscale values, validated shown correctly...
Synchrotron-based fast micro-tomography is the method of choice to observe in situ multiphase flow and displacement dynamics on pore scale. However, image processing workflow sensitive a suite manually selected parameters which can lead ambiguous results. In this work, relationship between porosity permeability response systematically varied gray-scale threshold values was studied for different segmentation approaches dataset Berea sandstone at voxel length 3 $$\upmu $$ m. For validation...
Pore-scale images obtained from a synchrotron-based X-ray computed micro-tomography (µCT) imbibition experiment in sandstone rock were used to conduct Navier–Stokes flow simulations on the connected pathways of water and oil phases. The resulting relative permeability was compared with steady-state Darcy-scale experiments 5 cm large twin samples same outcrop material. While curves display degree similarity, endpoint saturations for µCT data are 10% saturation units higher than experimental...
When nonwetting fluid displaces wetting in a porous rock many rapid pore-scale displacement events occur. These are often referred to as Haines jumps and any drainage process media is an ensemble of such events. However, the relevance for larger scale models questioned. A common counter argument that high velocities caused by jump would average-out when bulk representative volume considered. In this work, we examine detail investigate transient dynamics occur during jump. order obtain...
Models that describe two-fluid flow in porous media suffer from a widely-recognized problem the constitutive relationships used to predict capillary pressure as function of fluid saturation are non-unique, thus requiring hysteretic description. As an alternative traditional perspec- tive, we consider geometrical description pressure, which relates average mean curvature, saturation, interfacial area between fluids, and Euler characteristic. The state equation is formulated using notions...
Digital Rock Imaging is constrained by detector hardware, and a trade-off between the image field of view (FOV) resolution must be made. This can compensated for with super (SR) techniques that take wide FOV, low (LR) image, resolve high (HR), FOV image. The Enhanced Deep Super Resolution Generative Adversarial Network (EDSRGAN) trained on Learning Dataset, diverse compilation 12000 raw processed uCT images. network shows comparable performance 50% to 70% reduction in relative error over...
Abstract Pore‐scale digital images are usually obtained from microcomputed tomography data that has been segmented into void and grain space. Image segmentation is a crucial step in the process of rock analysis can influence pore‐scale characterization studies and/or numerical simulation petrophysical properties. This concerning since all methods have user‐selected parameters result biases. Convolutional neural networks (CNNs) provide way forward once trained, CNN consistent reliable image...