Abstract
This paper deals with simulation of flow and transport in porous media such as transport of groundwater contaminants. We first discuss how macro scale equations are derived and which terms have to be closed by models. The transport of tracers is strongly influenced by pore scale velocity structure and large scale inhomogeneities in the permeability field. The velocity structure on the pore scale is investigated by direct numerical simulations of the 3D velocity field in a random sphere pack. The velocity probability density functions are strongly skewed, including some negative velocities. The large probability for very small velocities might be the reason for non-Fickian dispersion in the initial phase of contaminant transport. We present a method to determine large scale distributions of the permeability field from point-wise velocity measurements. The adjoint-based optimisation algorithm delivers fully satisfying agreement between input and estimated permeability fields. Finally numerical methods for convection dominated tracer transports are investigated from a theoretical point of view. It is shown that high order Finite Element Methods can reduce or even eliminate non-physical oscillations in the solution without introducing additional numerical diffusivity.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bear, J.: Dynamics of Fluids in Porous Media. American Elsevier Publishing Company, New York (1972)
Becker, R., Vexler, B.: A posteriori error estimation for finite element discretization of parameter identification problems. Numer. Math. 96(3), 435–459 (2004)
Becker, R., Meidner, D., Vexler, B.: Efficient numerical solution of parabolic optimization problems by finite element methods. Optim. Methods Softw. 22(5), 813–833 (2007)
Borges da Silva, E., Souza, D., Ulson de Souza, A., Guelli U. de Souza, S.: Prediction of effective diffusivity tensors for bulk diffusion with chemical reactions in porous media. Braz. J. Chem. Eng. 24, 47–60 (2007)
Braack, M.: Optimal control in fluid mechanics by finite elements with symmetric stabilization. SIAM J. Control Optim. 48(2), 672–687 (2009)
Braack, M., Schieweck, F.: Equal-order finite elements with local projection stabilization for the darcy-brinkman equations. Comp. Methods Appl. Mech. Eng. 200(9–12), 1126–1136 (2011)
Breuer, M., Peller, N., Rapp, C., Manhart, M.: Flow over periodic hills – numerical and experimental study over a wide range of Reynolds numbers. Comput. Fluids 38, 433–457 (2009)
Cai, Q., Kollmannsberger, S., Sala, E., Huerta, A., Rank, E.: On the natural stabilization of convection dominated problems using high order Bubnov-Galerkin finite elements. Comput. Math. Appl. (2013, submitted)
Dentz, M., Cortis, A., Scher, H., Berkowitz, B.: Time behavior of solute transport in heterogeneous media: transition from anomalous to normal transport. Adv. Water Resour. 27, 155–173 (2004)
Deurer, M., Vogeler, I., Clothier, B., Scotter, D.: Magnetic resonance imaging of hydrodynamic dispersion in a saturated porous medium. Transp. Porous Media 54, 145–166 (2004)
Donea, J., Huerta, A.: Finite Element Methods for Flow Problems. Wiley, Chichester/Hoboken (2003)
Durlofsky, L.: Numerical calculation of equivalent grid block permeability tensors for heterogeneous porous media. Water Resour. Res. 27(5), 699–708 (1991)
Ernst, O.: Residual-minimizing Krylov subspace methods for stabilized discretization of convection-diffusion equations. SIAM J. Matrix Anal. Appl. 21, 1079–1101 (2000)
Hassanizadeh, S.: On the transient non-Fickian dispersion theory. Transp. Porous Media 23, 107–124 (1996)
Himmelstoß, T.: Stabilisierung und Parameteridentifikation für die Darcy-Gleichungen. Master’s thesis, Technische Universität München (2011)
Hintermüller, M., Ito, K., Kunisch, K.: The primal-dual active set strategy as a semismooth Newton method. SIAM J. Optim. 13(3), 865–888 (2003)
Hokpunna, A., Manhart, M.: Compact fourth-order finite volume method for numerical solutions of Navier-Stokes equations on staggered grids. J. Comput. Phys. 229, 7545–7570 (2010)
Jenny, P., Tchelepi, H., Meyer, D.: Uncertainty assessment of transport in porous media based on a probability density function method. In: Proceedings of 10th European Conference on the Mathematics of Oil Recovery, Amsterdam (2006)
Juanes, R.: A variational multiscale finite element method for multiphase flow in porous media. Finite Elem. Anal. Des. 41(7–8), 763–777 (2005)
Levy, M., Berkowitz, B.: Measurement and analysis of non-Fickian dispersion in heterogeneous porous media. J. Contam. Hydrol. 64, 203–226 (2003)
Liakopoulos, A.: Darcy’s coefficient of permeability as symmetric tensor of second rank. Int. Assoc. Sci. Hydrol. Bull. 10(3), 41–48 (1965)
Mahnken, R., Steinmann, P.: A finite element algorithm for parameter identification of material models for fluid-saturated porous media. Int. J. Numer. Anal. Methods Geomech. 25(5), 415–434 (2001)
Manhart, M.: A zonal grid algorithm for DNS of turbulent boundary layers. Comput. Fluids 33(3), 435–461 (2004)
Meyer, D., Jenny, P.: Stochastic mixing model for PDF simulations of turbulent reacting flow. In: Advances in Turbulence X, pp. 681–684. CIMNE, Barcelona (2004)
Meyer, D., Tchelepi, H., Jenny, P.: An eulerian joint velocity-concentration PDF method for solute dispersion in highly heterogeneous porous media. Geophys. Res. Abstr. 12, 5700 (2010)
Nowak, W., Schwede, R., Cirpca, O., Neuweiler, I.: Probability density functions of hydraulic head and velocity in three-dimensional heterogeneous porous media. Water Resour. Res. 44 (2008)
Peller, N.: Numerische simulation turbulenter Strömungen mit immersed boundaries. Ph.D. thesis, Technische Universität München (2010)
Peller, N., Le Duc, A., Tremblay, F., Manhart, M.: High-order stable interpolations for immersed boundary methods. Int. J. Numer. Methods Fluids 52, 1175–1193 (2006)
Rank, E., Katz, C., Werner, H.: On the importance of the discrete maximum principle in transient analysis using finite element methods. Int. J. Numer. Methods Eng. 19, 1771–1782 (1983)
Schulz, V., Wittum, G.: Multigrid optimization methods for stationary parameter identification problems in groundwater flow. In: Multigrid Methods V. Volume 3 of the LCSE series, pp. 276–288. Springer, Berlin (1998)
Suciu, N., Radu, F., Prechtel, A., Knabner, P.: A coupled finite element-global random walk approach to advection-dominated transport in porous media with random hydraulic conductivity. Comput. Appl. Math. 246, 27–37 (2013)
Szabó, B., Babuška, I.: Finite Element Analysis. Wiley, New York (1991)
Szabó, B., Düster, A., Rank, E.: The p-version of the finite element method. Encycl. Comput. Mech. 1, 119–139 (2004)
Tröltzsch, F.: Optimal Control of Partial Differential Equations: Theory, Methods and Applications. American Mathematical Society, Providence (2010)
Vexler, B.: Adaptive finite element methods for parameter identification problems. Ph.D. thesis, Universität Heidelberg, Naturwissenschaftlich-Mathematische Gesamtfakultät (2004)
Whitaker, S.: Flow in porous media I: a theoretical derivation of Darcy’s law. Transp. Porous Media 1(1), 3–25 (1986)
Williamson, J.: Low-storage Runge-Kutta schemes. J. Comput. Phys. 35(48) (1980)
Yang, C., Samper, J.: A subgrid-scale stabilized finite element method for multicomponent reactive transport through porous media. Transp. Porous Media 78(1), 101–126 (2009)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Cai, Q. et al. (2013). Numerical Simulation of Transport in Porous Media: Some Problems from Micro to Macro Scale. In: Bader, M., Bungartz, HJ., Weinzierl, T. (eds) Advanced Computing. Lecture Notes in Computational Science and Engineering, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38762-3_3
Download citation
DOI: https://doi.org/10.1007/978-3-642-38762-3_3
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-38761-6
Online ISBN: 978-3-642-38762-3
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)