Geometric and Topological Analysis of Three-Dimensional Porous Media: Pore Space Partitioning Based on Morphological Skeletonization

Liang, Zhenlin; Ioannidis, Marios A.; Chatzis, Ioannis

doi:10.1006/jcis.1999.6559

Cited by 136 publications

(83 citation statements)

References 27 publications

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“…The currently favored method for extracting pore networks from images is based on the maximal ball algorithm proposed by Silin and Patzek [24], and refined by Blunt and co-workers [25,26]. Another widely used approach is based on finding the branch points of the medial axis of the pore space [27][28][29][30][31]. Rounding out the methods is the watershed segmentation of the pore space, that was originally investigated by Thompson et al.…”

Section: Introductionmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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Obtaining structural information from tomographic images of porous materials is a critical component of porous media research. Extracting pore networks is particularly valuable since it enables pore network modeling simulations which can be useful for a host of tasks from predicting transport properties to simulating performance of entire devices. This work reports an efficient algorithm for extracting networks using only standard image analysis techniques. The algorithm was applied to several standard porous materials ranging from sandstone to fibrous mats, and in all cases agreed very well with established or known values for pore and throat sizes, capillary pressure curves, and permeability. In the case of sandstone, the present algorithm was compared to the network obtained using the current state-of-the-art algorithm, and very good agreement was achieved. Most importantly, the network extracted from an image of fibrous media correctly predicted the anisotropic permeability tensor, demonstrating the critical ability to detect key structural features. The highly efficient algorithm allows extraction on fairly large images of 500 3 voxels in just over 200 s. The ability for one algorithm to match materials as varied as sandstone with 20% porosity and fibrous media with 75% porosity is a significant advancement. The source code for this algorithm is provided.

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Section: Introductionmentioning

confidence: 99%

Versatile and efficient pore network extraction method using marker-based watershed segmentation

2017

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“…Prediction of various macroscopic transport and capillary properties of porous media is relatively straightforward if the geometric, topological and correlation properties of the porous microstructure are properly specified. The task of extracting this information is, however, nontrivial, typically requiring extensive characterization of 3D volume data [18].…”

Section: Introductionmentioning

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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“…Moreover, after long-term flooding in reservoir of the Jidong Oilfield, the separation of pore and throat becomes better, and microheterogeneity of reservoir gradually becomes weaker. The rule has not been reported before (Elliott and Dover 1982;Sorbie et al 1989;Lymberopoulos and Payatakes 1992;Xu et al 1999;Fredrich et al 1995;Fredrich 1999;Delerue et al 1999;Lindquist and Venkatarangan 1999;Liang et al 2000;Blunt (2001); Radlinski et al 2002;Siddiqui and Khamees 2004;Coenen et al 2004;Arns et al 2004Arns et al , 2005Knackstedt et al 2006;Al-Kharusi and Blunt 2007;Tomutsa et al 2007;Hou et al 2007;Youssef et al 2008;Dong and Blunt 2009;Mustafa et al 2009;Xu et al 2010;Peng et al 2012;Saurabh et al 2013;Theis et al 2014). …”

Section: D Model Of Pore Networkmentioning

confidence: 86%

“…Since the pore network model was proposed by Fatt (1956aFatt ( , b, c) in 1956, it has been a powerful tool to study microscopic reservoir structure and seepage characteristics. Elliott and Dover (1982), Sorbie et al (1989), Lymberopoulos and Payatakes (1992), Xu et al (1999), Fredrich et al (1995), Fredrich (1999, Delerue et al (1999), Lindquist and Venkatarangan (1999), Liang et al (2000), Blunt (2001), Radlinski et al (2002), Siddiqui and Khamees (2004), Coenen et al (2004), Knackstedt et al (2006), Al-Kharusi and Blunt (2007), Tomutsa et al (2007), Blunt (2009), Peng et al (2012), Saurabh et al (2013), Theis et al (2014), have researched the technologies and algorithms of constructing the digital core and 3D pore network model, and the 3D pore network model has been rapidly developed and widely applied. Among those technologies, the method of constructing 3D pore network model with digital core reconstructed by high-precision X-ray CT scanning is dominant, and it is future direction of researching microstructure of reservoir pore (Hou et al 2007;Arns et al 2004Arns et al , 2005Youssef et al 2008;Mustafa et al 2009).…”

Section: Introductionmentioning

confidence: 99%

Study on microheterogeneity and seepage law of reservoir after long-term water flooding

Hua

Liu

Sun³

2017

J Petrol Explor Prod Technol

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In order to carry out research on variation of microheterogeneity in sandstone reservoir after long-term water flooding in the complex faulted oilfields, the cores are cut from typical wells of main oil layers of two blocks in the Jidong Oilfield, and the experiments of long-term water flooding are conducted. Based on the mercury-injection data at different water cut stages during water flooding and the digital core data reconstructed by X-ray CT scanning, the variation of microheterogeneity of reservoir at different water cut stages during long-term water flooding of core are quantitatively characterized through fractal dimension method and 3D pore network model, and the rule of oil-water seepage at different water cut stages is characterized. The study showed that the middle-high-permeability reservoir has a good fractal structure with fractal dimension between 2 and 3. The large pore has the less fractal dimension, and the better homogeneity and pore structure than the small one. After the cores are washed by long-term water flooding, and as the water cut increases, the fractal dimensions of large and small pore gradually decrease, mean and medium pore diameters increase, the relative sorting coefficient decreases, the distribution probability of throat radius of core generally increases, and the microheterogeneity of reservoir weakens. Moreover, the oil relative permeability curves are almost overlapped, and the water relative permeability curves result in a big difference. Under the same water saturation, as the water cut increases, the fractal dimension decreases, the water relative permeability increases, and the oil-water common seepage points shift to the left.

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Geometric and Topological Analysis of Three-Dimensional Porous Media: Pore Space Partitioning Based on Morphological Skeletonization

Cited by 136 publications

References 27 publications

Versatile and efficient pore network extraction method using marker-based watershed segmentation

Versatile and efficient pore network extraction method using marker-based watershed segmentation

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

Study on microheterogeneity and seepage law of reservoir after long-term water flooding

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