Pore-morphology-based simulation of drainage in totally wetting porous media

Hilpert, Markus; Miller, Cass T.

doi:10.1016/s0309-1708(00)00056-7

Cited by 321 publications

(212 citation statements)

References 20 publications

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“…Capillary pressure curves can be obtained from quasi-static two-phase flow simulation using a pore morphological approach. Hilpert and Miller (2001) found good agreement between the horizontal part of the experimental capillary pressure curves from mercury intrusion porosimetry (MIP) and values calculated using a pore morphology approach. This approach, first used by Hazlett (1995), operates with several morphological erosion and dilation operations, thus simulating static fluid distributions and saturation of wetting and non-wetting phase in the binary image of the pore space (Hilpert and Miller 2001;Vogel et al 2005).…”

Section: Introductionmentioning

confidence: 76%

“…Hilpert and Miller (2001) found good agreement between the horizontal part of the experimental capillary pressure curves from mercury intrusion porosimetry (MIP) and values calculated using a pore morphology approach. This approach, first used by Hazlett (1995), operates with several morphological erosion and dilation operations, thus simulating static fluid distributions and saturation of wetting and non-wetting phase in the binary image of the pore space (Hilpert and Miller 2001;Vogel et al 2005). The pore morphology approach was successfully applied by Silin et al (2010) to compute capillary pressure curves and model fluid distributions of supercritical CO 2 in brine-saturated porous media under reservoir conditions (µ-CT two-phase flow experiment).…”

Section: Introductionmentioning

confidence: 76%

“…Hence, for the invasion of an immiscible fluid into the pore space fully saturated with another phase, the model is connected to an infinite reservoir of the invading phase, while the sides are closed. The pores may be invaded only if the phase is connected to the reservoir (Becker et al 2008;Hilpert and Miller 2001;Vogel et al 2005). The following steps were performed in sequence for the simulation of drainage:…”

Section: Data Modelingmentioning

confidence: 99%

See 2 more Smart Citations

Fast X-ray Micro-Tomography of Multiphase Flow in Berea Sandstone: A Sensitivity Study on Image Processing

et al. 2014

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Synchrotron-based fast micro-tomography is the method of choice to observe in situ multiphase flow and displacement dynamics on the pore scale. However, the image processing workflow is sensitive to a suite of manually selected parameters which can lead to ambiguous results. In this work, the relationship between porosity and permeability in response to systematically varied gray-scale threshold values was studied for different segmentation approaches on a dataset of Berea sandstone at a voxel length of 3 µm. For validation of the image processing workflow, porosity, permeability, and capillary pressure were compared to laboratory measurements on a larger-sized core plug of the same material. It was found that for global thresholding, minor variations in the visually permissive range lead to large variations in porosity and even larger variations in permeability. The latter is caused by changes in the pore-scale flow paths. Pore throats were found to be open for flow at large thresholds but closed for smaller thresholds. Watershed-based segmentation was found to be significantly more robust to manually chosen input parameters. Permeability and capillary pressure closely match experimental values; for capillary pressure measurements, the plateau of calculated capillary pressure curves was similar to experimental curves. Modeling on structures segmented with hysteresis thresholding was found to overpredict experimental capillary pressure values, while calculated permeability showed reasonable agreement to experimental data. This demonstrates that a good representation of permeability or capillary pressure alone is not a sufficient quality criterion for appropriate segmentation, but the data should be validated with both parameters. However, porosity is the least reliable quality criterion. In the segmented images, always a lower porosity was found compared to experimental values due to micro-porosity below the imaging resolution. As a result, it is recommended to base the validation of image processing workflows on permeability and capillary pressure and not on porosity. Decane-brine distributions from a multiphase flow experiment were modeled in a thus validated µ-CT pore space using a morphological approach which captures only capillary forces. A good overall correspondence was found when comparing (capillary-controlled) equilibrium fluid distributions before and after pore-scale displacement events.

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Section: Introductionmentioning

confidence: 76%

Section: Introductionmentioning

confidence: 76%

Section: Data Modelingmentioning

confidence: 99%

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Fast X-ray Micro-Tomography of Multiphase Flow in Berea Sandstone: A Sensitivity Study on Image Processing

et al. 2014

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“…Figure 9 shows the capillary pressure curves obtained from both the generated and extracted network. Additionally, the capillary pressure curve obtained using morphological image opening [49,51] is shown. The agreement between all three is quite good.…”

Section: Total Lengthmentioning

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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“…The calculated pore radius determines the smallest pores (and throats) that will be filled with the wetting phase during imbibition, and the largest pores that will be filled with non-wetting phase during drainage (Hilpert and Miller 2001;Schulz et al 2014;Aslannejad et al 2017). With the distribution of wetting and non-wetting phases inside the domain determined for a given capillary pressure, the saturation value could be calculated.…”

Section: Pore-scale Simulationmentioning

confidence: 99%

Study of Hydraulic Properties of Uncoated Paper: Image Analysis and Pore-Scale Modeling

Aslannejad

Hassanizadeh

2017

Transp Porous Med

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In this study, uncoated paper was characterized. Three-dimensional structure of the layer was reconstructed using imaging results of micro-CT scanning with a relatively high resolution (0.9 μm). Image analysis provided the pore space of the layer, which was used to determine its porosity and pore size distribution. Representative elementary volume (REV) size was determined by calculating values of porosity and permeability values for varying domain sizes. We found that those values remained unchanged for domain sizes of 400 × 400 × 150 μm 3 and larger; this was chosen as the REV size. The determined REV size was verified by determining capillary pressure-saturation (P c -S) imbibition curves for various domain sizes. We studied the directional dependence of P c -S curves by simulating water penetration into the layer from various directions. We did not find any significant difference between P c -S curves in different directions. We studied the effect of compression of paper on P c -S curves. We found that up to 30% compression of the paper layer had very small effect on the P c -S curve. Relative permeability as a function of saturation was also calculated. Water penetration into paper was visualized using confocal laser scanning microscopy. Dynamic visualization of water flow in the paper showed that water moves along the fibers first and then fills the pores between them.

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Pore-morphology-based simulation of drainage in totally wetting porous media

Cited by 321 publications

References 20 publications

Fast X-ray Micro-Tomography of Multiphase Flow in Berea Sandstone: A Sensitivity Study on Image Processing

Fast X-ray Micro-Tomography of Multiphase Flow in Berea Sandstone: A Sensitivity Study on Image Processing

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

Study of Hydraulic Properties of Uncoated Paper: Image Analysis and Pore-Scale Modeling

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