Ji-Youn Arns
University of New South Wales
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Publication
Featured researches published by Ji-Youn Arns.
Transport in Porous Media | 2004
Ji-Youn Arns; Vanessa Robins; Adrian Sheppard; R. M. Sok; Wolf Val Pinczewski; Mark A. Knackstedt
We consider the role of topology on drainage relative permeabilities derived from network models. We describe the topological properties of rock networks derived from a suite of tomographic images of Fontainbleau sandstone (Lindquist et al., 2000, J. Geophys. Res.105B, 21508). All rock networks display a broad distribution of coordination number and the presence of long-range topological bonds. We show the importance of accurately reproducing sample topology when deriving relative permeability curves from the model networks. Comparisons between the relative permeability curves for the rock networks and those computed on a regular cubic lattice with identical geometric characteristics (pore and throat size distributions) show poor agreement. Relative permeabilities computed on regular lattices and on diluted lattices with a similar average coordination number to the rock networks also display poor agreement. We find that relative permeability curves computed on stochastic networks which honour the full coordination number distribution of the rock networks produce reasonable agreement with the rock networks. We show that random and regular lattices with the same coordination number distribution produce similar relative permeabilities and that the introduction of longer-range topological bonds has only a small effect. We show that relative permeabilities for networks exhibiting pore–throat size correlations and sizes up to the core-scale still exhibit a significant dependence on network topology. The results show the importance of incorporating realistic 3D topologies in network models for predicting multiphase flow properties.
Journal of Petroleum Science and Engineering | 2003
Ji-Youn Arns; Christoph H. Arns; Adrian Sheppard; Robert Sok; Mark A. Knackstedt; W. Val Pinczewski
Abstract We examine the calculation of relative permeability and residual saturation using networks derived from tomographic images of Fontainebleau sandstone previously used to successfully calculate single-phase transport properties. In contrast to electrical conductivity and permeability calculations, we find that that computed relative permeabilities and residual saturations for samples of the same sandstone display a high degree of variability. Randomizing pores and throats to remove all correlations almost completely eliminates the variability between samples and produces smooth numerical data sets. We conclude that correlations in rock microstructure, which appear to have little effect on the calculation of single fluid properties, have a major effect on computed relative permeability and residual saturation.
Society of Petroleum Engineers - SPE/EAGE European Unconventional Resources Conference and Exhibition 2012 | 2012
Ahmad Dehghan Khalili; Christoph H. Arns; Ji-Youn Arns; Furqan Hussain; Yildiray Cinar; Wolf Val Pinczewski; Shane Latham; James Joseph Funk
bility due to large permeability contrasts. The most accurate upscaling technique is employing Darcy’s law. A key part of the study is the establishment of porosity transforms between highresolution and low-resolution images to arrive at a calibrated porosity map to constraint permeability estimates for the whole core.
New Journal of Physics | 2011
Christoph H. Arns; Tariq M. AlGhamdi; Ji-Youn Arns
The nuclear magnetic resonance (NMR) relaxation–diffusion response of porous reservoir rock is frequently used, e.g. in oil field applications, to extract characteristic length scales of pore space or information about saturating fluids. External gradients are typically applied to encode for diffusion. In reservoir rocks, field inhomogeneities due to internal gradients can even at low fields be strong enough to interfere with this encoding. Furthermore, the encoding for diffusion coefficients of fluids takes a finite amount of time, during which diffusing fluid molecules can experience restricted diffusion. Both effects can combine to make the interpretation of the diffusion dimension of a relaxation–diffusion measurement difficult. We use x-ray-CT images of porous rock samples to define the solid and fluid phases of reservoir rock and simulate the full experimental pulse sequence, taking into account the static applied field, external gradients and internal gradients as a function of susceptibility of each component, and surface and bulk relaxation properties of fluids and fluid–fluid and fluid–solid interfaces. We carry out simulations of NMR relaxation–diffusion measurements, while explicitly tracking the time-dependent diffusion coefficient in each fluid as well as associated local gradients. This allows us to quantify the influence of restricted diffusion and internal gradients for common choices of experimental parameters.
Transport in Porous Media | 2014
Furqan Hussain; Wolf Val Pinczewski; Yildiray Cinar; Ji-Youn Arns; Christoph H. Arns; Michael Turner
Image-based computations of relative permeability for capillary-dominated quasi-static displacements require a realistic description of the distribution of the fluids in the pore space. The fluid distributions are usually computed directly on the imaged pore space or on simplified representations of the pore space extracted from the images using a wide variety of models which capture the physics of pore-scale displacements. Currently this is only possible for uniform strongly wetting conditions where fluid–fluid and rock–fluid interactions at the pore-scale can be modelled with a degree of certainty. Recent advances in imaging technologies which make it possible to visualize the actual fluid distributions in the pore space have the potential to overcome this limitation by allowing relative permeabilities to be computed directly from the imaged fluid distributions. The present study explores the feasibility of doing this by comparing laboratory measured capillary-dominated drainage relative permeabilities with relative permeabilities computed from micro-CT images of the actual fluid distributions in the same rock. The agreement between the measurements and the fluid image-based computations is encouraging. The paper highlights a number of experimental difficulties encountered in the study which should serve as a useful guide for the design of future studies.
Carbohydrate Polymers | 2017
R. H. Fitri Faradilla; George Lee; Ji-Youn Arns; Justine J. Roberts; Penny J. Martens; Martina H. Stenzel; Jayashree Arcot
Demand for bioplastic, especially for food packaging, increases as the consumers become more aware of the destructive effect of non-biodegradable plastics. Nanocellulose from banana pseudo-stem has great potential to be formed as a bioplastic. This study aimed to characterize the free-standing film produced from banana pseudo-stem nanocellulose that was prepared by TEMPO-mediated oxidation. The film was found containing calcium oxalate crystals, which most likely influenced the film transparency and possibly affected the contact angle and tensile strength. The film had initial degradation temperature at 205°C, the contact angle of 64.3°, the tensile strength of 59.5MPa, and elongation of 1.7%. This initial characterization of free-standing nanocellulose film showed a promising potential of TEMPO-treated nanocellulose from banana pseudo-stem as a source of bioplastic. This study could also be beneficial information for further possible modification to improve the banana pseudo-stem film properties.
Transport in Porous Media | 2017
Igor Shikhov; Marcel Nogueira d’Eurydice; Ji-Youn Arns; Christoph H. Arns
Relative permeability is a key characteristic describing flow properties of petroleum reservoirs, aquifers and water retention of soils. Various laboratory methods, typically categorised as steady-state, unsteady-state and centrifuge are used to measure relative permeability and may lead to different results. In recent years, 1D MRI, NMR T2\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}
Microsystems & Nanoengineering | 2017
Zahra Faraji Rad; Robert E. Nordon; Carl J. Anthony; Lynne Bilston; Philip D. Prewett; Ji-Youn Arns; Christoph H. Arns; Liangchi Zhang; G.J. Davies
Water Resources Research | 2018
Wendy Timms; R. Ian Acworth; Richard Crane; Christoph H. Arns; Ji-Youn Arns; Dayna McGeeney; Gabriel C. Rau; Mark O. Cuthbert
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Mathematical Geosciences | 2018
Yuzhu Wang; Christoph H. Arns; Sheik S. Rahman; Ji-Youn Arns