Lattice gas automata for flow through porous media

Chen, Shiyi; Diemer, Karen; Doolen, Gary D.; Eggert, K.; Fu, Castor; Gutman, Semion; Travis, B. J.

doi:10.1016/0167-2789(91)90281-d

Cited by 122 publications

(54 citation statements)

References 8 publications

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“…As best practice, macroscopic properties obtained from computer modeling are often used as validation criteria, whereby the calculated pore structure-related values like porosity (Iassonov et al 2009;Vogel et al 2005), permeability , and capillary pressure curves (Silin et al 2010), are compared to experimental data. Permeability can be derived from Lattice-Boltzmann (LBM) single-phase flow simulations on the segmented images (Chen et al 1991;Coles et al 1998;Ferreol and Rothmann 1995;Lehmann et al 2008;Vogel et al 2005;Zhang and Kwok 2006). Capillary pressure curves can be obtained from quasi-static two-phase flow simulation using a pore morphological approach.…”

Section: Introductionmentioning

confidence: 99%

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: 99%

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

et al. 2014

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“…La idea es distribuir los espacios o los obstáculos de manera aleatoria en la región, usando un número apropiado de la función de distribución de la densidad [2].…”

Section: Generación Del Medio Porosounclassified

“…La dependencia de la presión con la velocidad macroscópica causa oscilaciones, las que pueden controlarse [2] si: a) se controla la densidad inicial [15] o b) se utiliza un modelo de látice de gases con velocidades múltiples [14].…”

Section: Difusión En Los Porosunclassified

Uso de un autómata celular para crear un modelo de difusión de contaminantes en un sistema suelo–agua

Castro

2011

RMTA

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En este trabajo se presenta el desarrollo de un modelo de difusión de contaminantes en un sistema suelo-agua bajo condiciones específicas de un medio real en estudio. El propósito de dicho modelo es permitir la observación del flujo del contaminante en el sistema suelo-agua y su comportamiento al interactuar con los diferentes elementos del sistema con la finalidad de orientar y apoyar los procesos y la aplicación de las técnicas de recuperación de suelos y aguas contaminadas. Las condiciones básicas para el diseño del modelo son: 1)El contaminante es introducido en el suelo. 2) El contaminante fluye del suelo al agua. 3) La concentración del contaminante introducido es variable durante el proceso. 4) El contaminante puede llegar a saturar el suelo. 5) El contaminante es adsorbido por el suelo. 6) El modelo se realiza en 2D, con posibilidad de extenderlo a 3D. El modelo utiliza un aut ?mata celular, el cual contiene diferentes zonas con sus propias reglas de funcionamiento. Se consideran cuatro zonas en el modelo: i) Zona de introducción del contaminante. ii) Zona del suelo (un medio poroso). iii) Zona de interrelación del suelo-agua.v) Zona del agua.

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“…The lattice-gas method has been undergoing improvement, beginning in the mid 1970's up to the present day by many researchers, including Hardy, de Pazzis and Pomeau [17], Kadanoff, McNamara, and Zanetti [18,19,20,21], Boghosian et al [22,23,24,25], Boon et al [26,27], Ernst, Das, Brito,et al [28,29,30,31], Hénon [8,32], Doolen, S. Chen, et al [33,34,35,36,37,38], Frisch, Pomeau, d'Humières et al [2,3], Appert, Zeleski, and Rothman et al [9,10,11,12,13], and Yepez [14,15,16,39,40]. This is by no means either an exhaustive list of all researchers or publications in this subject.…”

Section: Introductionmentioning

confidence: 99%

The Classical Lattice-Gas Method

Yepez¹

1999

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Lattice gas automata for flow through porous media

Cited by 122 publications

References 8 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

Uso de un autómata celular para crear un modelo de difusión de contaminantes en un sistema suelo–agua

The Classical Lattice-Gas Method

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