Permeability estimation of porous media by using an improved capillary bundle model based on micro-CT derived pore geometries

The purpose of this work is to develop a permeability estimation method for porous media. This method is based on an improved capillary bundle model by introducing some pore geometries. We firstly carried out micro-CT scans to extract the 3D digital model of porous media. Then we applied a maximum ball extraction method to the digital model to obtain the topological and geometrical pore parameters such as the pore radius, the throat radius and length and the average coordination number. We also applied a random walker method to calculate the tortuosity factors of porous media. We improved the capillary bundle model by introducing the pore geometries and tortuosity factors. Finally, we calculated the absolute permeabilities of four kinds of porous media formed of glass beads and compared the results with experiments and several other models to verify the improved model. We found that the calculated permeabilities using this improved capillary bundle model show better agreement with the measured permeabilities than the other methods.

[1]  D. Verseghy,et al.  Class—A Canadian land surface scheme for GCMS. I. Soil model , 2007 .

[2]  Markus Flury,et al.  Capillary bundle model of hydraulic conductivity for frozen soil , 2008 .

[3]  Stig Bakke,et al.  Reconstruction of Berea sandstone and pore-scale modelling of wettability effects , 2003 .

[4]  H. Bertin,et al.  Interfacial tension measurements and wettability evaluation for geological CO2 storage , 2009 .

[5]  A. Costa,et al.  Permeability‐porosity relationship: A reexamination of the Kozeny‐Carman equation based on a fractal pore‐space geometry assumption , 2006 .

[6]  P. Carman,et al.  Permeability of saturated sands, soils and clays , 1939, The Journal of Agricultural Science.

[7]  Martin J. Blunt,et al.  Predictive pore‐scale modeling of two‐phase flow in mixed wet media , 2004 .

[8]  N. Otsu A threshold selection method from gray level histograms , 1979 .

[9]  Michel Aubertin,et al.  On the use of the Kozeny-Carman equation to predict the hydraulic conductivity of soils , 2003 .

[10]  S. Bakke,et al.  Process Based Reconstruction of Sandstones and Prediction of Transport Properties , 2002 .

[11]  R. Al-Raoush,et al.  Extraction of physically realistic pore network properties from three-dimensional synchrotron X-ray microtomography images of unconsolidated porous media systems , 2005 .

[12]  L. Ahuja,et al.  Evaluation of a Capillary Bundle Model for Describing Solute Dispersion in Aggregated Soils , 1976 .

[13]  Martin J Blunt,et al.  Pore-network extraction from micro-computerized-tomography images. , 2009, Physical review. E, Statistical, nonlinear, and soft matter physics.

[14]  T. Patzek,et al.  Pore space morphology analysis using maximal inscribed spheres , 2006 .

[15]  Yoshito Nakashima,et al.  Mathematica Programs for the Analysis of Three-Dimensional Pore Connectivity and Anisotropic Tortuosity of Porous Rocks using X-ray Computed Tomography Image Data , 2007 .

[16]  Bryant,et al.  Prediction of relative permeability in simple porous media. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[17]  Tammo S. Steenhuis,et al.  Drying front in a sloping aquifer: Nonlinear effects , 2004 .

[18]  Martin J. Blunt,et al.  Pore Network Modeling: Analysis of Pore Size Distribution of Arabian Core Samples , 2007 .

[19]  Rupert J. Myers,et al.  X-ray microtomography shows pore structure and tortuosity in alkali-activated binders , 2012 .

[20]  Mohd Saleh Jaafar,et al.  A review of basic soil constitutive models for geotechnical application , 2009 .

[21]  L. Dai,et al.  Immiscible Displacement in the Interacting Capillary Bundle Model Part I. Development of Interacting Capillary Bundle Model , 2005 .

[22]  M. Blunt,et al.  Pore-scale modeling: Effects of wettability on waterflood oil recovery , 2010 .

[23]  J. Bear,et al.  Introduction to Modeling of Transport Phenomena in Porous Media , 1990 .