Magnetization Evolution in Network Models of Porous Rock under Conditions of Drainage and Imbibition

Chang, David M.; Ioannidis, Marios A.

doi:10.1006/jcis.2002.8472

Cited by 14 publications

(13 citation statements)

References 34 publications

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“…b Apparent pore-to-throat size aspect ratio for Berea sandstone sample 31% water saturation, however, these authors observed the disappearance of the secondary peak at small pore sizes and were able to determine pores as small as 0.3 µm. This behavior is predicted by pore network simulations of NMR magnetization decay (Chang and Ioannidis 2002), under conditions of diffusion coupling between micropores and macropores.…”

Section: Pore Size Distributions and Apparent Pore-to-throat Aspect Rmentioning

confidence: 85%

“…In fact, a considerable fraction of the pore volume exhibits Euclidean features and is adequately described by models of grain packing and compaction (Bakke and Oren 1997;Thovert et al 2001) or by 3D stochastic reconstruction from limited 2D morphological information (Adler et al 1990;Liang et al 2000;Talukdar et al 2002). To fully understand the capillary properties of sedimentary rock, it is necessary to quantify the entire spectrum of pore length scales actually present (Tsakiroglou and Payatakes 1993;Chang and Ioannidis 2002). For example, failure to model the electrical resistivity and wetting-phase relative permeability at low values of water saturation has been attributed to inadequate resolution of pore geometry over sub-micrometric length scales (Bekri et al 2003;Han et al 2009), that are well within the size range where fractal scaling laws apply.…”

Section: Introductionmentioning

confidence: 99%

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Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

et al. 2010

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The microstructure of a suite of sandstone samples is quantitatively analyzed using a method which combines information from thin section micrographs of the pore space with mercury injection porosimetry in a statistical framework. This method enables the determination of a continuous distribution of pore sizes ranging from few nanometre to several hundred micrometre. The data obtained unify fractal and Euclidean aspects of the void space geometry, yield estimates of the pore-to-throat aspect ratio and challenge the ability of commonly used network models to describe fluid percolation in multiscale porous media. Application of critical path analysis to the prediction of flow permeability and electrical conductivity of sandstone core samples using the new information produces results comparable to those obtained by the classical approach-a fact attributed to the presence of macroscopic heterogeneity at the scale of several millimetres.

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Section: Pore Size Distributions and Apparent Pore-to-throat Aspect Rmentioning

confidence: 85%

Section: Introductionmentioning

confidence: 99%

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

et al. 2010

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“…The pore network model developed here for GDLs is based on the one described by Ioannidis and Chatzis [17] and Chang and Ioannidis [20]. The pores are 8 modeled as nodes on a regular cubic lattice, interconnected with throats.…”

Section: Pore and Throat Size Distributionsmentioning

confidence: 99%

“…Unresolved length scales due to the presence of cracks, corners, crevices and interstitial regions at fiber-fiber contact points amount to pore space from which the wetting phase is displaced at capillary pressures higher than corresponding to first entry of the non-wetting phase into any pore in the network. To account for the gradual drainage of the wetting phase from such small scale features, we employ the following expression [20]:…”

Section: Late Pore Fillingmentioning

confidence: 99%

Pore network modeling of fibrous gas diffusion layers for polymer electrolyte membrane fuel cells

Gostick

Ioannidis

Fowler

et al. 2007

Journal of Power Sources

327

273

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A pore network model of the gas diffusion layer (GDL) in a polymer electrolyte membrane fuel cell is developed and validated. The model idealizes the GDL as a regular cubic network of pore bodies and pore throats following respective size distributions. Geometric parameters of the pore network model are calibrated with respect to porosimetry and gas permeability measurements for two common GDL materials and the model is subsequently used to compute the pore-scale distribution of water and gas under drainage conditions using an invasion percolation algorithm. From this information, the relative permeability of water and gas and the effective gas diffusivity are computed as functions of water saturation using resistor-network theory. Comparison of the model predictions with those obtained from constitutive relationships commonly used in current PEMFC models indicates that the latter may significantly overestimate the gas phase transport properties. Alternative relationships are suggested that better match the pore network model results. The pore network model is also used to calculate the limiting current in a PEMFC under operating conditions for which transport through the GDL dominates mass transfer resistance. The results suggest that a dry GDL does not limit the performance of a PEMFC, but it may become a significant source of concentration polarization as the GDL becomes increasingly saturated with water.3

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“…Other dynamical aspects (behaviour of residual gas pockets related to saturation, prewetting layers, Bosanquet-flow -see Section IV) can also be added [25,32,49,52,63,238,279,281,298]. Simulations can be either quasi-staticthe dynamics is applied at the "weakest link", and no other processes are allowed -or dynamic so that the pressure balance is maintained dynamically at the single pore level [29,30,51,65,74,136,157,238].…”

Section: F Microscopic Simulationsmentioning

confidence: 99%

Imbibition in disordered media

Alava

Dubé

Rost

2004

Advances in Physics

285

333

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The physics of liquids in porous media gives rise to many interesting phenomena, including imbibition where a viscous fluid displaces a less viscous one. Here we discuss the theoretical and experimental progress made in recent years in this field. The emphasis is on an interfacial description, akin to the focus of a statistical physics approach. Coarse-grained equations of motion have been recently presented in the literature. These contain terms that take into account the pertinent features of imbibition: non-locality and the quenched noise that arises from the random environment, fluctuations of the fluid flow and capillary forces. The theoretical progress has highlighted the presence of intrinsic length-scales that invalidate scale invariance often assumed to be present in kinetic roughening processes such as that of a two-phase boundary in liquid penetration. Another important fact is that the macroscopic fluid flow, the kinetic roughening properties, and the effective noise in the problem are all coupled. Many possible deviations from simple scaling behaviour exist, and we outline the experimental evidence. Finally, prospects for further work, both theoretical and experimental, are discussed.

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Magnetization Evolution in Network Models of Porous Rock under Conditions of Drainage and Imbibition

Cited by 14 publications

References 34 publications

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones

Pore network modeling of fibrous gas diffusion layers for polymer electrolyte membrane fuel cells

Imbibition in disordered media

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