Numerical porosimetry: Evaluation and comparison of yield stress fluids method, mercury intrusion porosimetry and pore network modelling approaches
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Antonio Rodríguez de Castro | Abdelaziz Omari | Mehrez Agnaou | Azita Ahmadi-Sénichault | A. Ahmadi-Sénichault | A. Omari | M. Agnaou
[1] Marios A. Ioannidis,et al. A new approach for the characterization of the pore structure of dual porosity rocks , 2009 .
[2] H. Giesche,et al. Mercury Porosimetry: A General (Practical) Overview , 2006 .
[3] Yashar Mehmani,et al. Numerical Algorithms for Network Modeling of Yield Stress and other Non-Newtonian Fluids in Porous Media , 2012, Transport in Porous Media.
[4] Ali Elkamel,et al. Dual network extraction algorithm to investigate multiple transport processes in porous materials: Image-based modeling of pore and grain scale processes , 2019, Comput. Chem. Eng..
[5] Aspects of flow of power-law fluids in porous media , 1995 .
[6] C. Tsakiroglou,et al. Dual‐porosity modelling of the pore structure and transport properties of a contaminated soil , 2008 .
[7] Subhasish Subhasish,et al. A Novel Method for Permeability Estimation from Micro-tomographic Images , 2018, Transport in Porous Media.
[8] T. Papanastasiou. Flows of Materials with Yield , 1987 .
[9] Prashant,et al. Direct simulations of spherical particle motion in Bingham liquids , 2011, Comput. Chem. Eng..
[10] A. Rodríguez de Castro,et al. Using Xanthan Gum Solutions to Characterize Porous Media with the Yield Stress Fluid Porosimetry Method: Robustness of the Method and Effects of Polymer Concentration , 2018, Transport in Porous Media.
[11] Alasdair N. Houston,et al. Quantification of the pore size distribution of soils: Assessment of existing software using tomographic and synthetic 3D images , 2017 .
[12] A. H. P. Skelland,et al. Non-Newtonian flow and heat transfer , 1967 .
[13] Allen G. Hunt,et al. Applications of percolation theory to porous media with distributed local conductances , 2001 .
[14] P. Levitz,et al. Liquid intrusion and alternative methods for the characterization of macroporous materials (IUPAC Technical Report) , 2011 .
[15] Jeff T. Gostick,et al. Versatile and efficient pore network extraction method using marker-based watershed segmentation. , 2017, Physical review. E.
[16] A. Ahmadi,et al. Numerical Simulation of Yield Stress Fluid Flow in Capillary Bundles: Influence of the Form and the Axial Variation in the Cross Section , 2017, Transport in Porous Media.
[17] M. Dias,et al. Immiscible Microdisplacement and Ganglion Dynamics in Porous Media , 1984 .
[18] A. Skauge,et al. Computation of polymer in-situ rheology using direct numerical simulation , 2017 .
[19] Adrian Sheppard,et al. Techniques for image enhancement and segmentation of tomographic images of porous materials , 2004 .
[20] Jan Carmeliet,et al. Characterisation of pore structure by combining mercury porosimetry and micrography , 2001 .
[21] Marios A. Ioannidis,et al. Statistical Synthesis of Imaging and Porosimetry Data for the Characterization of Microstructure and Transport Properties of Sandstones , 2011 .
[22] E. W. Washburn. The Dynamics of Capillary Flow , 1921 .
[23] Winslow H. Herschel,et al. Konsistenzmessungen von Gummi-Benzollösungen , 1926 .
[24] M. A. Abou Najm,et al. Non‐Newtonian Fluids in Action: Revisiting Hydraulic Conductivity and Pore Size Distribution of Porous Media , 2016 .
[25] N. Burlion,et al. X-ray microtomography: Application to microstructure analysis of a cementitious material during leaching process , 2006 .
[26] Pierre Saramito,et al. Progress in numerical simulation of yield stress fluid flows , 2017, Rheologica Acta.
[27] D. Lasseux,et al. From steady to unsteady laminar flow in model porous structures: an investigation of the first Hopf bifurcation , 2016 .
[28] Keyu Liu,et al. A method for determining oil-bearing pore size distribution in shales: A case study from the Damintun Sag, China , 2018, Journal of Petroleum Science and Engineering.
[29] Manouchehr Haghighi,et al. Investigation of pore size distributions of coals with different structures by nuclear magnetic resonance (NMR) and mercury intrusion porosimetry (MIP) , 2018 .
[30] Generalization of Darcy's law for Bingham fluids in porous media: from flow-field statistics to the flow-rate regimes. , 2015, Physical review. E, Statistical, nonlinear, and soft matter physics.
[31] C. Tsakiroglou. Correlation of the two-phase flow coefficients of porous media with the rheology of shear-thinning fluids , 2004 .
[32] A. Rodríguez de Castro,et al. Toward a New Method of Porosimetry: Principles and Experiments , 2014, Transport in Porous Media.
[33] Christoph H. Arns,et al. A comparison of pore size distributions derived by NMR and X-ray-CT techniques , 2004 .
[34] Lizhi Xiao,et al. NMR logging : principles and applications , 1999 .
[35] Olaf Schenk,et al. Solving unsymmetric sparse systems of linear equations with PARDISO , 2004, Future Gener. Comput. Syst..
[36] Rajandrea Sethi,et al. Extension of the Darcy–Forchheimer Law for Shear-Thinning Fluids and Validation via Pore-Scale Flow Simulations , 2012, Transport in Porous Media.
[37] M. Loosdrecht,et al. Effect of pore size distribution and particle size of porous metal oxides on phosphate adsorption capacity and kinetics , 2019, Chemical Engineering Journal.
[38] Michael Fairweather,et al. Studies for the development of a virtual permeameter , 2014, Comput. Chem. Eng..
[39] A. Ambari,et al. Yield stress fluids method to determine the pore size distribution of a porous medium , 2014 .
[40] G. Gee,et al. Application of critical path analysis to fractal porous media: comparison with examples from the Hanford site , 2002 .
[41] Meimei Feng,et al. Particle size distribution of aggregate effects on mechanical and structural properties of cemented rockfill: Experiments and modeling , 2018, Construction and Building Materials.
[42] Alfred Daniel Hill,et al. Theoretical and Numerical Simulation of Herschel-Bulkley Fluid Flow in Propped Fractures , 2013 .
[43] M. Cieszko,et al. Limit Models of Pore Space Structure of Porous Materials for Determination of Limit Pore Size Distributions Based on Mercury Intrusion Data , 2018, Transport in Porous Media.
[44] Li Peng,et al. Effect of shearing actions on the rheological properties and mesostructures of CMC, PVP and CMC + PVP aqueous solutions as simple water-based drilling fluids for gas hydrate drilling , 2016 .
[45] Todor G. Baychev,et al. Review of pore network modelling of porous media: Experimental characterisations, network constructions and applications to reactive transport. , 2016, Journal of contaminant hydrology.
[46] D. Lasseux,et al. Origin of the inertial deviation from Darcy's law: An investigation from a microscopic flow analysis on two-dimensional model structures. , 2017, Physical review. E.
[47] Juraj Kosek,et al. Strategy for predicting effective transport properties of complex porous structures , 2011, Comput. Chem. Eng..
[48] J. Killough,et al. Effect of pore sizes on composition distribution and enhance recovery from liquid shale—Molecular sieving in low permeability reservoirs , 2019, Fuel.
[49] A. Kovscek,et al. Effects of Image Resolution on Sandstone Porosity and Permeability as Obtained from X-Ray Microscopy , 2018, Transport in Porous Media.
[50] M. A. Abou Najm,et al. Characterization of synthetic porous media using non‐Newtonian fluids: experimental evidence , 2018, European Journal of Soil Science.
[51] Mehrez Agnaou,et al. PoreSpy: A Python Toolkit for Quantitative Analysis of Porous Media Images , 2019, J. Open Source Softw..
[52] C. L. Y. Leon,et al. New perspectives in mercury porosimetry , 1998 .
[53] Alkiviades C. Payatakes,et al. Characterization of the pore structure of reservoir rocks with the aid of serial sectioning analysis, mercury porosimetry and network simulation , 2000 .
[54] Jussi Timonen,et al. Evaluation of a lattice-Boltzmann method for mercury intrusion porosimetry simulations , 2004, Future Gener. Comput. Syst..
[55] Suihong Song,et al. Combining pressure-controlled porosimetry and rate-controlled porosimetry to investigate the fractal characteristics of full-range pores in tight oil reservoirs , 2018, Journal of Petroleum Science and Engineering.
[56] K. Scrivener,et al. A reassessment of mercury intrusion porosimetry by comparison with 1H NMR relaxometry , 2017 .
[57] Determination of the Transport Properties of Single Fractures with the Aid of Critical Path Analysis , 2002 .
[58] C. Tsakiroglou. A methodology for the derivation of non-Darcian models for the flow of generalized Newtonian fluids in porous media , 2002 .
[59] H. Narita,et al. Characterization of sand sediment by pore size distribution and permeability using proton nuclear magnetic resonance measurement , 2008 .
[60] Veerle Cnudde,et al. Imaging and image-based fluid transport modeling at the pore scale in geological materials : a practical introduction to the current state-of-the-art , 2016 .
[61] R. Mikhail,et al. The contact angle in mercury intrusion porosimetry , 1981 .
[62] L. Madariaga,et al. Characterizing Porous Media with the Yield Stress Fluids Porosimetry Method , 2016, Transport in Porous Media.
[63] Alan Burns,et al. OpenPNM: A Pore Network Modeling Package , 2016, Computing in Science & Engineering.
[64] Numerical modeling of non-Newtonian fluid flow in fractures and porous media , 2017, Computational Geosciences.
[65] J. M. Nóbrega,et al. Analytical solutions for Newtonian and inelastic non-Newtonian flows with wall slip , 2012 .
[66] F. Alpak,et al. Imaging and computational considerations for image computed permeability: Operating envelope of Digital Rock Physics , 2018, Advances in Water Resources.
[67] W. B. Lindquist,et al. Pore and throat size distributions measured from synchrotron X-ray tomographic images of Fontaineble , 2000 .