scholarly journals A comparison between the use of continuous and pore network approach in the simulation of the drying process of porous media with different pore size distributions

2018 ◽  
Vol 56 (5) ◽  
pp. 564-569 ◽  
Author(s):  
Vu Hong Thai ◽  
Thomas Metzger ◽  
Evangelos Tsotsas
Keyword(s):  
Porous Media ◽  
Pore Size ◽  
Pore Network ◽  
Size Distributions ◽  
Network Approach ◽  
Drying Process ◽  
Pore Size Distributions

scholarly journals Characterization of Shale Pore Structure by Multitechnique Combination and Multifractal Analysis and Its Significance

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Dengke Liu ◽  
Tao Tian ◽  
Ruixiang Liang ◽  
Fu Yang ◽  
Feng Ye
Keyword(s):  
Pore Structure ◽  
Pore Size ◽  
Multifractal Analysis ◽  
Ordos Basin ◽  
Pore Network ◽  
Size Distributions ◽  
Geochemical Parameters ◽  
Pore Size Distributions ◽  
Wide Range ◽  
Shale Reservoirs

Understanding pore structure would enable us to obtain a deeper insight into the fluid mechanism in porous media. In this research, multifractal analysis by various experiments is employed to analyze the pore structure and heterogeneity characterization in the source rock in Ordos Basin, China. For this purpose, imaging apparatus, intrusion tests, and nonintrusion methods have been used. The results show that the objective shale reservoir contains complex pore network, and minor pores dominant the pore system. Both intrusion and nonintrusion methods detected pore size distributions show multifractal nature, while the former one demonstrates more heterogeneous features. The pore size distributions acquired by low temperature adsorption and nuclear magnetic resonance have relatively good consistence, indicating that similar pore network detection method may share the same mechanism, and the full-ranged pore size distributions need to be acquired by multitechniques. Chlorite has an obvious impact on the heterogeneity of pore structure in narrow pore size range, while illite and I/S mixed layer influence that in wide range. Kerogen index is the fundamental indicators of geochemical parameters. With the decrease of averaged small and middle/large pore radius, the heterogeneity of pore structures increase in narrow and wide ranges, respectively. This work employed a comprehensive methodology based on multitechniques and helps to explore how pore networks affect reservoir quality in shale reservoirs.

Analysis of Water Agglomeration Inside the GDL Using a Pore-Network Model

2010 ◽  
Author(s):  
Mehdi Shahraeeni ◽  
Mina Hoorfar
Keyword(s):  
Pore Size ◽  
Analytical Model ◽  
Network Model ◽  
Transient Response ◽  
Pore Network ◽  
Pore Network Model ◽  
Size Distributions ◽  
Water Motion ◽  
Pore Size Distributions

This article investigates the transient response of water motion inside the GDLs having different pore size distributions. A pore-network model is developed and applied to the problem. The results of the simulation are in agreement with the analytical model available in the literature.

scholarly journals Pore Network Analysis of Zone Model for Porous Media Drying

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Yuan Yuejin ◽  
Zhao Zhe ◽  
Nie Junnan ◽  
Xu Yingying
Keyword(s):  
Porous Media ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Phase Distribution ◽  
Pore Network ◽  
Pore Network Model ◽  
Zone Model ◽  
Drying Process ◽  
Isothermal Drying

In view of the fact that the zone model for porous media drying cannot disclose the mechanism of liquid phase distribution effectively, a pore network model for the slow isothermal drying process of porous media was developed by applying the theories of pore network drying and transport-process, which fused the physical parameters of porous media, such as porosity, pore mean diameter, and pore size distribution into the model parameters, and a sand bed drying experiment was conducted to verify the validity of this model. The experiment and simulation results indicate that the pore network model could explain the slow isothermal drying process of porous media well. The pore size distributions of porous media have a great effect on the liquid phase distribution of the drying process. The dual-zone model is suitable for the porous media whose pore size distribution obeys Gaussian distribution, while the three-zone model is suitable for the porous media whose pore size distribution obeys the lognormal distribution when the drying analysis of porous media is conducted.

Yield Stress Fluid Method to Measure the Pore Size Distribution of a Porous Medium

2010 ◽  
Author(s):  
Aimad Oukhlef ◽  
Abdlehak Ambari ◽  
Ste´phane Champmartin ◽  
Antoine Despeyroux
Keyword(s):  
Porous Media ◽  
Pore Size Distribution ◽  
Pore Size ◽  
Size Distribution ◽  
Size Distributions ◽  
First Approximation ◽  
Pore Size Distributions ◽  
Plastic Fluid ◽  
Present Technique ◽  
Mathematical Processing

In this paper a new method is presented in order to determine the pore size distribution in a porous media. This original technique uses the non Newtonian yield-pseudo-plastic rheological properties of some fluid flowing through the porous sample. In a first approximation, the very well-known and simple Carman-Kozeny model for porous media is considered. However, despite the use of such a huge simplification, the analysis of the geometry still remains an interesting problem. Then, the pore size distribution can be obtained from the measurement of the total flow rate as a function of the imposed pressure gradient. Using some yield-pseudo-plastic fluid, the mathematical processing of experimental data should give an insight of the pore-size distribution of the studied porous material. The present technique was successfully tested analytically and numerically for classical pore size distributions such as the Gaussian and the bimodal distributions using Bingham or Casson fluids (the technique was also successfully extended to Herschel-Bulkley fluids but the results are not presented in this paper). The simplicity and the cheapness of this method are also its assets.

A FRACTAL ANALYSIS OF PERMEABILITY FOR POWER-LAW FLUIDS IN POROUS MEDIA

Fractals ◽  
2006 ◽  
Vol 14 (03) ◽  
pp. 171-177 ◽  
Author(s):  
BIN ZHANG ◽  
BOMING YU ◽  
HAIXIA WANG ◽  
MEIJUAN YUN
Keyword(s):  
Porous Media ◽  
Pore Size ◽  
Power Law ◽  
Fractal Analysis ◽  
Power Exponent ◽  
Size Distributions ◽  
Permeability Model ◽  
Flow Paths ◽  
Power Law Fluids ◽  
Pore Size Distributions

A fractal analysis of permeability for power-law fluids in porous media is presented based on the fractal characters of pore size distributions and tortuous flow paths/streamlines in the media. The proposed permeability model for power-law fluids in porous media is expressed as a function of the fractal dimensions of pore size distributions and tortuous flow paths/streamlines, porosity and microstructural parameters, as well as power exponent, and there is no empirical constant in the proposed model and every parameter in the model has clear physical meaning. The results predicted by the present fractal permeability model show that the model predictions (as the power exponent is 1) are in agreement with the available experimental data, and the predicted permeabilities (as the power exponent is not equal to 1) increase with the power exponent, which is also consistent with the physical situation.

Pore-Size Distributions and Tortuosity in Heterogeneous Porous Media

1995 ◽  
Vol 112 (1) ◽  
pp. 83-91 ◽  
Author(s):  
L.L. Latour ◽  
R.L. Kleinberg ◽  
P.P. Mitra ◽  
C.H. Sotak
Keyword(s):  
Porous Media ◽  
Pore Size ◽  
Heterogeneous Porous Media ◽  
Size Distributions ◽  
Pore Size Distributions

Dynamic streaming potential coupling coefficient in porous media with different pore size distributions

2021 ◽  
Author(s):  
Luong Duy Thanh ◽  
Damien Jougnot ◽  
Santiago G Solazzi ◽  
Nguyen Van Nghia ◽  
Phan Van Do
Keyword(s):  
Porous Media ◽  
Pore Size ◽  
Coupling Coefficient ◽  
Oil And Gas ◽  
Complex Function ◽  
Streaming Potential ◽  
Pore Fluid ◽  
Published Data ◽  
Size Distributions ◽  
Pore Size Distributions

Summary Seismoelectric signals are generated by electrokinetic coupling from seismic wave propagation in fluid-filled porous media. This process is directly related to the existence of an electrical double layer at the interface between the pore fluid and minerals composing the pore walls. The seismoelectric method attracts the interest of researchers in different areas, from oil and gas reservoir characterization to hydrogeophysics, due to the sensitivity of the seismoelectric signals to medium and fluid properties. In this work, we propose a physically-based model for the dynamic streaming potential coupling coefficient (SPCC) by conceptualizing a porous medium as a bundle of tortuous capillaries characterized by presenting different pore size distributions (PSD). The results show that the dynamic streaming potential coupling coefficient is a complex function depending on the properties of pore fluid, mineral-pore fluid interfaces, microstructural parameters of porous media and frequency. Parameters influencing the dynamic SPCC are investigated and explained. In particular, we show that the PSD affects the transition frequency as well as the shape of the SPCC response as a function of frequency. The proposed model is then compared with published data and previous models. It is found that the approach using the lognormal distribution is in very good agreement with experimental data as well as with previous models. Conversely, the approach that uses the fractal distribution provides a good match with published data for sandstone samples but not for sand samples. This result implies that the fractal PSD may not be pertinent for the considered sand samples, which exhibit a relatively narrow distribution of pore sizes. Our proposed approach can work for any PSD, for example, including complex ones such as double porosity or inferred from direct measurements. This makes the proposed models more versatile than models available in literature.

Sign in / Sign up

Export Citation Format

Share Document