Extraction of physically realistic pore network properties from three-dimensional synchrotron X-ray microtomography images of unconsolidated porous media systems

2005 ◽  
Vol 300 (1-4) ◽  
pp. 44-64 ◽  
Author(s):  
R.I. Al-Raoush ◽  
C.S. Willson
Keyword(s):  
Porous Media ◽  
Three Dimensional ◽  
Pore Network ◽  
X Ray ◽  
Network Properties ◽  
Unconsolidated Porous Media ◽  
Media Systems

scholarly journals Pore network extraction from pore space images of various porous media systems

2017 ◽  
Vol 53 (4) ◽  
pp. 3424-3445 ◽  
Author(s):  
Zhixing Yi ◽  
Mian Lin ◽  
Wenbin Jiang ◽  
Zhaobin Zhang ◽  
Haishan Li ◽  
...  
Keyword(s):  
Porous Media ◽  
Pore Space ◽  
Pore Network ◽  
Space Images ◽  
Media Systems

Fabrication of a Microchannel Device With a Three-Dimensional Pore Network Using a Sacrificial Sugar Template

2020 ◽  
Author(s):  
Haipeng Zhang ◽  
Tomer Palmon ◽  
Seunghee Kim ◽  
Sangjin Ryu
Keyword(s):  
Porous Media ◽  
Fluid Flow ◽  
Pore Structure ◽  
Three Dimensional ◽  
Pore Network ◽  
Compressed Air ◽  
Microfluidic Channels ◽  
Two Phase ◽  
Flow Through ◽  
Phase Fluid

Abstract Porous media compressed air energy storage (PM-CAES) is an emerging technology that stores compressed air in an underground aquifer during the off-peak periods, to mitigate the mismatch between energy supplies and demands. Thus, PM-CAES involves repeated two-phase fluid flow in porous media, and ensuring the success of PM-CAES requires a better understanding of repetitive two-phase fluid flow through porous media. For this purpose, we previously developed microfluidic channels that retain a two-dimensional (2D) pore network. Because it was found that the geometry of the pore structure significantly affects the patterns and occupational efficiencies of a non-wetting fluid during the drainage-imbibition cycles, a more realistic microfluidic model is needed to reflect the three-dimensional (3D) nature of pore structures in the underground geologic formation. In this study, we developed an easy-to-adopt method to fabricate a microfluidic device with a 3D random pore network using a sacrificial sugar template. Instead of using a master mold made in photolithography, a sacrificial mold was made using sugar grains so that the mold could be washed away after PDMS curing. First, we made sugar templates with different levels of compaction load, and found that the thickness of the templates decreased as the compaction load increased, which suggests more packing of sugar grains and thus lower porosity in the template. Second, we fabricated PDMS porous media using the sugar template as a mold, and imaged their pore structure using micro computed tomography (micro-CT). Pores within PDSM samples appeared more tightly packed as the compacting force increased. Last, we fabricated a prototype PDMS channel device with a 3D pore network using a sugar template, and visualized flow through the pore network using colored water. The flow visualization result shows that the water was guided by the random pores and that the resultant flow pattern was three dimensional.

scholarly journals An intercomparison of the pore network to the Navier–Stokes modeling approach applied for saturated conductivity estimation from X-ray CT images

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Bartłomiej Gackiewicz ◽  
Krzysztof Lamorski ◽  
Cezary Sławiński ◽  
Shao-Yiu Hsu ◽  
Liang-Cheng Chang
Keyword(s):  
Porous Media ◽  
Specific Surface ◽  
Total Porosity ◽  
Pore Network ◽  
Ct Images ◽  
Navier Stokes ◽  
X Ray ◽  
Average Value ◽  
Modeling Approaches ◽  
The Difference

AbstractDifferent modeling techniques can be used to estimate the saturated conductivity of a porous medium based on computed tomography (CT) images. In this research, two methods are intercompared: direct modeling using the Navier–Stokes (NS) approach and simplified geometry pore network (PN) modeling. Both modeling approaches rely on pore media geometry which was determined using an X-ray CT scans with voxel size 2 μm. An estimate of the saturated conductivity using both methods was calculated for 20 samples prepared from sand with diverse particle size distributions. PN-estimated saturated conductivity was found to be statistically equivalent to the NS-determined saturated conductivity values. The average value of the ratio of the PN-determined conductivity to the NS-determined conductivity (KsatPN/NS) was equal to 0.927. In addition to the NS and PN modeling approaches, a simple Kozeny-Carman (KC) equation-based estimate was made. The comparison showed that the KC estimate overestimated saturated conductivity by more than double (2.624) the NS estimate. A relationship was observed between the porous media specific surface and the KsatPN/NS ratio. The tortuosity of analyzed samples was estimated, the correlation between the porous media tortuosity and the specific surface of the samples was observed. In case of NS modelling approach the difference between pore media total porosity and total porosity of meshes, which were lower, generated for simulations were observed. The average value of the differences between them was 0.01. The method of NS saturated conductivity error estimation related to pore media porosity underestimation by numerical meshes was proposed. The error was on the average 10% for analyzed samples. The minimum value of the error was 4.6% and maximum 19%.

Analysis of Pore Network in Three-dimensional (3D) Grain Bulks Using X-ray CT Images

2007 ◽  
Vol 73 (3) ◽  
pp. 319-332 ◽  
Author(s):  
Sureshraja Neethirajan ◽  
Digvir S. Jayas
Keyword(s):  
Three Dimensional ◽  
Pore Network ◽  
Ct Images ◽  
X Ray ◽  
Grain Bulks

scholarly journals Study on Connectivity Mechanism and Robustness of Three-Dimensional Pore Network of Sandstone

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Guannan Liu ◽  
Xiaopeng Pei ◽  
Dayu Ye ◽  
Feng Gao ◽  
Zongqing Zhou ◽  
...  
Keyword(s):  
Porous Media ◽  
Path Length ◽  
Structural Characteristics ◽  
Three Dimensional ◽  
Ct Scanning ◽  
Pore Network ◽  
Structural Features ◽  
Average Path Length ◽  
Microscopic Mechanism ◽  
Complex Network Theory

As one of the most prevalent porous media, rock contains a large number of pore throats of varying size and shape. It is essential to analyze the complex pore network structure and to define the network structural features to reveal the microscopic mechanism of the rock permeability. In this paper, based on the complex network theory and CT scanning technology, sandstone is used as an example to study the structural characteristics of the rock network with different porosities. The results show that the structural characteristics of the sandstone seepage network are consistent with BA scale-free network, whose average path length increases with the size of the network. At the same time, the porosity of the sandstone is strongly influenced by the number of throat in the rock pore network. Furthermore, our analysis concludes that a few pores with a large number of connections contribute significantly to the overall connectivity of the sandstone seepage network. Removing the ‘hub’ pores increased the average path length of the entire network by 27.63-37.26%, which could not be achieved by randomly removing method. While the sandstone seepage network has better fault tolerance and robustness to external random attacks, this study provides a new approach to study the mechanisms of fluid storage and migration in porous media.

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