scholarly journals Direct pore-scale computation of material and transport properties for North Sea reservoir rocks

2007 ◽  
Vol 43 (12) ◽  
Author(s):  
P.-E. Øren ◽  
S. Bakke ◽  
R. Held
Keyword(s):  
Transport Properties ◽  
North Sea ◽  
Pore Scale ◽  
Reservoir Rocks

scholarly journals Probing the Influence of Multiscale Heterogeneity on Effective Properties of Graphite Electrodes

2021 ◽  
Author(s):  
Chance A. Norris ◽  
Mukul Parmananda ◽  
Scott Alan Roberts ◽  
Partha P. Mukherjee
Keyword(s):  
Spatial Heterogeneity ◽  
Transport Properties ◽  
Effective Properties ◽  
Lithium Ion ◽  
Particle Morphology ◽  
Electrochemical Characteristics ◽  
Pore Scale ◽  
Structural Anisotropy ◽  
Graphite Electrodes ◽  
The Impact

Graphite electrodes in the lithium-ion battery exhibit various particle shapes, including spherical and platelet morphologies, which influence structural and electrochemical characteristics. It is well established that porous structures exhibit spatial heterogeneity, and particle morphology can influence transport properties. The impact of particle morphology on the heterogeneity and anisotropy of geometric and transport properties has not been previously studied. This study characterizes the spatial heterogeneities of eighteen graphite electrodes at multiple length scales by calculating and comparing structural anisotropy, geometric quantities, and transport properties (pore-scale tortuosity and electrical conductivity). We found that particle morphology and structural anisotropy play an integral role in determining the spatial heterogeneity of directional tortuosity and its dependency on pore-scale heterogeneity. Our analysis reveals that the magnitude of in-plane and through-plane tortuosity difference influences the multiscale heterogeneity in graphite electrodes.

Review of Pc-Sw Data for Network Model Validation

2010 ◽  
Vol 2 ◽  
pp. 15-30
Author(s):  
O.A. Olafuyi
Keyword(s):  
Experimental Data ◽  
Transport Properties ◽  
Laboratory Experiments ◽  
Network Models ◽  
Micro Ct ◽  
Pore Scale ◽  
Predictive Capability ◽  
Flow Transport ◽  
Scale Network ◽  
Pore Scale Network

Advances in micro-CT imaging of porous materials provide the opportunity to extract representative networks from the images. This improves the predictive capability of pore scale network models to predict multiphase flow transport properties. However, all these predictions need to be validated with laboratory experimental data. The experimental data for such validation may either be from the literature or newly conducted laboratory experiments on same outcrops. This paper presents the review of some of the available Pc – Sw experimental data available in the literature for validating the predictions made by network models.

scholarly journals Pore-scale analysis of Newtonian flow in the explicit geometry of vertebral trabecular bones using lattice Boltzmann simulation

2008 ◽  
Vol 222 (2) ◽  
pp. 185-194 ◽  
Author(s):  
T Zeiser ◽  
M Bashoor-Zadeh ◽  
A Darabi ◽  
G Baroud
Keyword(s):  
Trabecular Bone ◽  
Transport Properties ◽  
Lattice Boltzmann ◽  
Average Pore Size ◽  
Creeping Flow ◽  
The Other ◽  
Dissipated Energy ◽  
Pore Scale ◽  
Dimensionless Numbers ◽  
Shear Component

The geometric and transport properties of trabecular bone are of particular interest for medical engineers active in orthopaedic applications and more specifically in hard tissue implantations. This article resorts to computational methods to provide some understanding of the geometric and transport properties of vertebral trabecular bone. A fuzzy distance transform algorithm was used for geometric analysis on the pore scale, and a lattice Boltzmann method (LBM) for the simulation of flow on the same scale. The transport properties of bone including the pressure drop, elongation, and shear component of dissipated energy, and the tortuosity of the bone geometry were extracted from the results of the LBM flow simulations. Whenever suitable, dimensionless numbers were used for the analysis of the data. The average pore size and distribution of the bone were found to be 746μm and between 75 and 2940μm, respectively. The permeability of the flow in the cavities of the specific bone sample was found to be 5.05×10-8 m2 for the superior—inferior direction which was by a factor of 1.5—1.7 higher than the permeability in the other two anatomical directions (anterior—posterior). These findings are consistent with experimental results found 3 years prior independently. Tortuosity values approached 1.05 for the superior—inferior direction, and 1.13 and 1.11 for the other two perpendicular directions. The low tortuosities result mainly from the large bone porosity of 0.92. The flow on the pore scale seems to be shear dominated but 30 per cent of the energy dissipation was because of elongational effects. The converging and diverging geometry of the bone explains the significant elongation and deformation of the fluid elements. The transition from creeping flow (the Darcy regime), which is of interest to vertebral augmentation and this study, to the laminar region with significant inertia effects took place at a Reynolds number of about 1—10, as usual for porous media. Finally, the authors wish to advise the readers on the significant computational requirements to be allocated to such a virtual test bench.

Stress-Dependent Directional Permeabilities of Two Analog Reservoir Rocks: A Prospective Study on Contribution of µ-Tomography and Pore Network Models

2009 ◽  
Vol 12 (02) ◽  
pp. 297-310 ◽  
Author(s):  
Jeremie Dautriat ◽  
Nicolas F. Gland ◽  
Souhail Youssef ◽  
Elisabeth Rosenberg ◽  
Samir Bekri ◽  
...  
Keyword(s):  
Transport Properties ◽  
Integrated Approach ◽  
Pore Network ◽  
Reservoir Rock ◽  
Pore Scale ◽  
Compression Tests ◽  
Pressure Dependency ◽  
Triaxial Cell ◽  
Stress Dependent ◽  
Rock Characterization

Summary To predict the effects of stress on rock permeability, the authors propose an integrated approach based on an extended rock characterization, an experimental investigation of pressure dependency of directional rock permeabilities and finally a pore-scale simulation of this dependency using equivalent pore network extracted from microtomography analysis. This study has been conducted on two analog reservoir rock types: the high-permeability Bentheimer Sandstone and a dual-porosity bioclastic carbonate, the Estaillades Limestone, having an intermediate permeability. Compression tests have been conducted using a new triaxial cell specially designed to measure directional permeabilities along and transverse to direction of maximum stress application. We measured the pressure dependency of porosity, directional permeabilities, compressibilities, and elastic moduli of the tested samples. We also performed computed microtomography (CMT) imaging of the rock samples, from which we extracted the poral skeletons and the associated characteristics lengths. Then, we calculated the macroscopic transport properties using Pore Network Modeling (PNM) based on the real pore geometry. We included a model of pressure dependence of pore and throat sizes based on pressurized cavity models derived from elasticity theory to simulate the evolution of porosity and permeability with pressure. First, we show that the experimental determination of the evolution of directional permeabilities under hydrostatic and deviatoric loading is feasible. Finally, we show that the PNM coupled with µ tomography can be a promising tool to forecast the evolution of transport properties under stresses representative of reservoir conditions, at the condition of integrating more advanced pore-scale compaction models.

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