Select Publications
Conference Papers
2015, 'Micro-CT imaging and microfluidics for understanding flow in coal seam reservoirs', in International Symposium of the Society of Core Analysts, SCA, SCA
,2014, 'Interfacial velocities and the resulting velocity field during a Haines jump', Avignon France, presented at Society of Core Analysts, Avignon France, 08 September 2014 - 11 September 2014
,2014, 'ONSET OF OIL MOBILIZATION AND NON - WETTING PHASE CLUSTER SIZE DISTRIBUTION', Avignon France, presented at Society of Core Analysts, Avignon France, 08 September 2014 - 11 September 2014
,2013, 'DIRECT HYDRODYNAMIC SIMULATION OF MULTIPHASE FLOW IN POROUS ROCK', Napp Valley California, presented at Society of Core Analysts, Napp Valley California, 16 September 2013 - 19 September 2013
,2013, 'Multiphase flow in porous rock imaged under dynamic flow conditions with fast X-ray computed tomography', Napa Valley, California, presented at Society of Core Analysts, Napa Valley, California, 16 September 2013 - 19 September 2013
,2013, 'Application of digital rock technology for chemical EOR screening', Kuala Lumpur, Malaysia, presented at SPE enhanced oil recovery conference, Kuala Lumpur, Malaysia, 02 July 2013 - 04 July 2013
,2012, 'A Pore Scale Explanation for Displacement Efficiency', SanFrancisco, presented at AGU Fall Meeting, SanFrancisco, 10 December 2012 - 14 December 2012
,2012, 'Emulsion formation at the Pore-Scale', SanFrancisco, presented at AGU Fall Meeting, SanFrancisco, 10 December 2012 - 14 December 2012
,2012, 'Optimization geological sequestration of CO2 by capillary trapping mechanisms', SanFrancisco, presented at AGU Fall Meeting, SanFrancisco, 10 December 2012 - 14 December 2012
,2012, 'ESTIMATION OF CURVATURE FROM MICRO-CT LIQUID-LIQUID DISPLACEMENT STUDIES WITH PORE SCALE RESOLUTION', in Society of Core Analyst
,2011, 'Characterisation of gold ores by X-ray computed tomography - Part 2: Applications to the determination of gold particle size and distribution', in GeoMet 2011 - 1st AusIMM International Geometallurgy Conference 2011, pp. 293 - 309
,2010, 'Noninvasive geophysical imaging of ureolytic CaCO3 precipitation', in GEOCHIMICA ET COSMOCHIMICA ACTA, PERGAMON-ELSEVIER SCIENCE LTD THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND, pp. A1149 - A1149, PERGAMON-ELSEVIER SCIENCE LTD THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
,2009, 'Using synchrotron-based microtomographic imaging to characterize biofilm architecture in porous media', in EGU General Assembly Conference Abstracts, pp. 6369 - 6369
,2003, 'A review of information on the influence of plan curvature on rock slope stability and its effect on the volume of wedge failures', in 10th ISRM Congress, pp. 57 - 61
,Preprints
2023, The impact of wettability on the co-moving velocity of two-fluid flow in porous media, http://arxiv.org/abs/2309.00362v1
,2023, Controlled Ion Transport in the Subsurface: A Coupled Advection-Diffusion-Electromigration System, http://arxiv.org/abs/2308.04668v1
,2023, A pore-scale model for electrokinetic in situ recovery of copper: the Influence of mineral occurrence, zeta potential, and electric potential, http://arxiv.org/abs/2303.17150v1
,2022, DeepAngle: Fast calculation of contact angles in tomography images using deep learning, http://dx.doi.org/10.48550/arxiv.2211.15243
,2022, Dynamic Mode Decomposition for Analyzing Dynamics in Multi-phase Flow in Porous Media, http://dx.doi.org/10.31223/x5065c
,2022, Effective permeability of an immiscible fluid in porous media determined from its geometric state, http://arxiv.org/abs/2208.08027v2
,2022, Relative permeability as a stationary process: energy fluctuations in immiscible displacement, http://dx.doi.org/10.1063/5.0107149
,2021, A comparative study of paired versus unpaired deep learning methods for physically enhancing digital rock image resolution, http://dx.doi.org/10.48550/arxiv.2112.08644
,2021, Deep learning of multi-resolution X-Ray micro-CT images for multi-scale modelling, http://dx.doi.org/10.48550/arxiv.2111.01270
,2021, In-situ hydrogen wettability characterisation for Underground Hydrogen Storage, http://dx.doi.org/10.31223/x54045
,2021, Universal description of wetting on multiscale surfaces using integral geometry, http://dx.doi.org/10.48550/arxiv.2108.09445
,2020, Capillary fluctuations and energy dynamics for flow in porous media, http://dx.doi.org/10.48550/arxiv.2012.09206
,2020, Thermodynamics of fluctuations based on time-and-space averages, http://dx.doi.org/10.48550/arxiv.2012.09139
,2020, Characterization of wetting using topological principles, http://dx.doi.org/10.48550/arxiv.2005.02873
,2020, ML-LBM: Machine Learning Aided Flow Simulation in Porous Media, http://dx.doi.org/10.48550/arxiv.2004.11675
,2020, Physical Accuracy of Deep Neural Networks for 2D and 3D Multi-Mineral Segmentation of Rock micro-CT Images, http://dx.doi.org/10.48550/arxiv.2002.05322
,2019, Linking continuum-scale state of wetting to pore-scale contact angles in porous media, http://dx.doi.org/10.48550/arxiv.1910.00484
,2019, Boosting Resolution and Recovering Texture of micro-CT Images with Deep Learning, http://dx.doi.org/10.48550/arxiv.1907.07131
,2019, Geometric evolution as a source of discontinuous behavior in soft condensed matter, http://dx.doi.org/10.48550/arxiv.1906.04073
,2019, Super Resolution Convolutional Neural Network Models for Enhancing Resolution of Rock Micro-CT Images, http://dx.doi.org/10.48550/arxiv.1904.07470
,2018, A geometric state function for two-fluid flow in porous media, http://dx.doi.org/10.48550/arxiv.1805.11032
,Direct Measurement of Hydrogen Relative Permeability Hysteresis for Underground Hydrogen Storage, http://dx.doi.org/10.2139/ssrn.4310400
,Insights into Wettability Alteration During Cyclic Scco2-Brine Injections in a Layered Bentheimer Sandstone, http://dx.doi.org/10.2139/ssrn.4166103
,Multi-Scale Modelling of Multi-Physics Flow in Coal Seams, http://dx.doi.org/10.2139/ssrn.4253551
,Multiscale Gas Diffusion Measurements for Coal Characterization Using Bulk Counterdiffusion and Local 3d Imaging Methods, http://dx.doi.org/10.2139/ssrn.4105728
,Scaling Deep Learning for Material Imaging: A Pseudo-3d Model for Tera-Scale 3d Domain Transfer, http://dx.doi.org/10.2139/ssrn.4808378
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