Permeability and pore connectivity: A new model based on network simulations

[1] The purpose of this paper is to model the effect of pore size heterogeneity and pore connectivity on permeability. Our approach is that of conceptual modeling based on network simulations. We simulated fluid flow through pipe networks with different coordination numbers and different pipe radius distributions. Following a method widely used in percolation theory, we sought “universal” relationships (i.e., independent of lattice type) between macroscopic properties such as permeability k and porosity ϕ, and, pore geometry attributes such as hydraulic radius rH, coordination number z, and so forth. Our main result was that in three-dimensional simple cubic, FCC, and BCC networks, permeability obeyed “universal” power laws, k ∝ (z − zc)β, where the exponent β is a function of the standard deviation of the pore radius distribution and zc = 1.5 is the percolation threshold expressed in terms of the coordination number. Most importantly, these power law relationships hold in a wide domain, from z close to zc to the maximum possible values of z. A permeability model was inferred on the basis of the power laws mentioned above. It was satisfactorily tested by comparison with published, experimental, and microstructural data on Fontainebleau sandstone.

[1]  James G. Berryman,et al.  Effective stress for transport properties of inhomogeneous porous rock , 1992 .

[2]  Stephen R. Brown,et al.  Microscopic analysis of macroscopic transport properties of single natural fractures using graph theory algorithms , 1995 .

[3]  N. Petford,et al.  Investigation of the petrophysical properties of a porous sandstone sample using confocal scanning laser microscopy , 2001, Petroleum Geoscience.

[4]  Berryman Exact effective-stress rules in rock mechanics. , 1992, Physical review. A, Atomic, molecular, and optical physics.

[5]  A. Venkatarangan,et al.  Investigating 3 D Geometry of Porous Media from High Resolution Images , 1998 .

[6]  M. S. Paterson,et al.  The equivalent channel model for permeability and resistivity in fluid-saturated rock—A re-appraisal , 1983 .

[7]  Brian Evans,et al.  Permeability-porosity Relationships in Rocks Subjected to Various Evolution Processes , 2003 .

[8]  W. B. Lindquist,et al.  Medial axis analysis of void structure in three-dimensional tomographic images of porous media , 1996 .

[9]  Pierre M. Adler,et al.  Porous media : geometry and transports , 1992 .

[10]  Yves Bernabé,et al.  Effective pressure law for permeability of E‐bei sandstones , 2009 .

[11]  J. B. Walsh,et al.  The effect of pressure on porosity and the transport properties of rock , 1984 .

[12]  W. B. Lindquist,et al.  Investigating 3D geometry of porous media from high resolution images , 1999 .

[13]  Y. Bernabé The transport properties of networks of cracks and pores , 1995 .

[14]  J. Renner,et al.  Hydromechanical properties of Fontainebleau sandstone: Experimental determination and micromechanical modeling , 2008 .

[15]  Scott Kirkpatrick,et al.  Classical Transport in Disordered Media: Scaling and Effective-Medium Theories , 1971 .

[16]  Joel Koplik,et al.  Theory of dynamic permeability and tortuosity in fluid-saturated porous media , 1987, Journal of Fluid Mechanics.

[17]  Laura J. Pyrak-Nolte,et al.  Single fractures under normal stress: The relation between fracture specific stiffness and fluid flow , 2000 .

[18]  P. Glover,et al.  Theory of ionic-surface electrical conduction in porous media , 1997 .

[19]  Brian Evans,et al.  Permeability, porosity and pore geometry of hot-pressed calcite , 1982 .

[20]  J. Parlange Porous Media: Fluid Transport and Pore Structure , 1981 .

[21]  J. W. Martin,et al.  Pore geometry and transport properties of Fontainebleau sandstone , 1993 .

[22]  Y. Bernabé,et al.  Permeability fluctuations in heterogeneous networks with different dimensionality and topology , 2003 .

[23]  T. Madden,et al.  Microcrack connectivity in rocks: A renormalization group approach to the critical phenomena of conduction and failure in crystalline rocks , 1983 .

[24]  Y. Bernabé,et al.  Effect of the variance of pore size distribution on the transport properties of heterogeneous networks , 1998 .

[25]  Lie-hui Zhang,et al.  Laboratory Study of the Effective Pressure Law for Permeability of the Low‐Permeability Sandstones from the Tabamiao Area, Inner Mongolia , 2009 .

[26]  C. A. Baldwin,et al.  Determination and Characterization of the Structure of a Pore Space from 3D Volume Images , 1996 .

[27]  Neville G. W. Cook,et al.  Natural joints in rock: Mechanical, hydraulic and seismic behaviour and properties under normal stress , 1992 .

[28]  Mark A. Knackstedt,et al.  Direct and Stochastic Generation of Network Models from Tomographic Images; Effect of Topology on Residual Saturations , 2002 .

[29]  Gary Mavko,et al.  The effect of a percolation threshold in the Kozeny‐Carman relation , 1997 .

[30]  J. Thovert,et al.  Grain reconstruction of porous media: application to a low-porosity Fontainebleau sandstone. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[31]  A. Revil,et al.  Ionic Diffusivity, Electrical Conductivity, Membrane and Thermoelectric Potentials in Colloids and Granular Porous Media: A Unified Model. , 1999, Journal of colloid and interface science.

[32]  M. Darot,et al.  Influence of stress-induced and thermal cracking on physical properties and microstructure of La Peyratte granite , 1999 .

[33]  F. Neubauer,et al.  Influence of coordination number and percolation probability on rock permeability estimation , 2002 .

[34]  Keith W. Jones,et al.  Synchrotron computed microtomography of porous media: Topology and transports. , 1994, Physical review letters.

[35]  M. Paterson,et al.  Porosity and permeability evolution during hot isostatic pressing of calcite aggregates , 1994 .

[36]  W. B. Lindquist,et al.  Statistical characterization of the three-dimensional microgeometry of porous media and correlation with macroscopic transport properties , 1997 .

[37]  P. Doyen,et al.  Permeability, conductivity, and pore geometry of sandstone , 1988 .

[38]  J. Dienes,et al.  Transport properties of rocks from statistics and percolation , 1989 .

[39]  B. Evans,et al.  Densification and permeability reduction in hot‐pressed calcite: A kinetic model , 1999 .

[40]  W. Brace Permeability of crystalline and argillaceous rocks , 1980 .

[41]  L. Gelhar Stochastic Subsurface Hydrology , 1992 .

[42]  J. T. Fredrich,et al.  3D imaging of porous media using laser scanning confocal microscopy with application to microscale transport processes , 1999 .

[43]  C.A.J. Appelo,et al.  FLOW AND TRANSPORT , 2004 .

[44]  Scaling function for dynamic permeability in porous media. , 1989, Physical review letters.

[45]  J. Kärger,et al.  Flow and Transport in Porous Media and Fractured Rock , 1996 .

[46]  W. B. Lindquist,et al.  Pore and throat size distributions measured from synchrotron X-ray tomographic images of Fontaineble , 2000 .

[47]  D. Hutmacher,et al.  The correlation of pore morphology, interconnectivity and physical properties of 3D ceramic scaffolds with bone ingrowth. , 2009, Biomaterials.

[48]  T. Reuschlé,et al.  Transport properties and microstructural characteristics of a thermally cracked mylonite , 1996 .

[49]  James G. Berryman,et al.  Using two‐point correlation functions to characterize microgeometry and estimate permeabilities of sandstones and porous glass , 1996 .