TRANSPORT IN POROUS MEDIA

Similar documents
CONVERGENCE THEORY. G. ALLAIRE CMAP, Ecole Polytechnique. 1. Maximum principle. 2. Oscillating test function. 3. Two-scale convergence

Periodic homogenization and effective mass theorems for the Schrödinger equation

HOMOGENIZATION OF A CONVECTIVE, CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM

Homogenization of reactive flows in porous media

A BRIEF INTRODUCTION TO HOMOGENIZATION AND MISCELLANEOUS APPLICATIONS

HOMOGENIZATION OF ELECTROKINETIC FLOWS IN POROUS MEDIA: THE ROLE OF NON-IDEALITY.

TWO-SCALE CONVERGENCE ON PERIODIC SURFACES AND APPLICATIONS

Homogenization of micro-resonances and localization of waves.

LINEAR FLOW IN POROUS MEDIA WITH DOUBLE PERIODICITY

THE STOKES SYSTEM R.E. SHOWALTER

Introduction to Aspects of Multiscale Modeling as Applied to Porous Media

Homogenization of reactive flows in porous media and competition between bulk and surface diffusion

TWO-SCALE ASYMPTOTIC EXPANSION : BLOCH-FLOQUET THEORY IN PERIODIC STRUCTURES

Colloids transport in porous media: analysis and applications.

Continuous dependence estimates for the ergodic problem with an application to homogenization

Lecture Notes on PDEs

HT HT HOMOGENIZATION OF A CONDUCTIVE AND RADIATIVE HEAT TRANSFER PROBLEM, SIMULATION WITH CAST3M

ECOLE POLYTECHNIQUE. Two Asymptotic Models for Arrays of Underground Waste Containers CENTRE DE MATHÉMATIQUES APPLIQUÉES UMR CNRS 7641

Free energy estimates for the two-dimensional Keller-Segel model

Durham Research Online

Homogenization of a Conductive, Convective and Radiative Heat Transfer Problem in a Heterogeneous Domain

Homogenization of the Schrodinger equation with a time oscillating potential

Lecture 12: Detailed balance and Eigenfunction methods

Homogenization and Multiscale Modeling

Second Order Elliptic PDE

Transport equations with disparate advection fields. Application to the gyrokinetic models in plasma physics

Lecture No 1 Introduction to Diffusion equations The heat equat

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems

Second order corrector in the homogenization of a conductive-radiative heat transfer problem

Smilansky-Solomyak model with a δ -interaction

Allen Cahn Equation in Two Spatial Dimension

OPTIMAL CONTROL AND STRANGE TERM FOR A STOKES PROBLEM IN PERFORATED DOMAINS

1 The Stokes System. ρ + (ρv) = ρ g(x), and the conservation of momentum has the form. ρ v (λ 1 + µ 1 ) ( v) µ 1 v + p = ρ f(x) in Ω.

Applications of the periodic unfolding method to multi-scale problems

Numerical Solutions to Partial Differential Equations

MATH 425, FINAL EXAM SOLUTIONS

SOME PROBLEMS IN SCALING UP THE SOURCE TERMS IN AN UNDERGROUND WASTE REPOSITORY. A.Bourgeat

NONLOCAL DIFFUSION EQUATIONS

and finally, any second order divergence form elliptic operator

Exit times of diffusions with incompressible drifts

Quantitative Homogenization of Elliptic Operators with Periodic Coefficients

IV. Transport Phenomena Lecture 18: Forced Convection in Fuel Cells II

Homogenization limit for electrical conduction in biological tissues in the radio-frequency range

KPP Pulsating Traveling Fronts within Large Drift

THE L 2 -HODGE THEORY AND REPRESENTATION ON R n

Math The Laplacian. 1 Green s Identities, Fundamental Solution

The Factorization Method for Inverse Scattering Problems Part I

Chapter 13. Eddy Diffusivity

DRIFT OF SPECTRALLY STABLE SHIFTED STATES ON STAR GRAPHS

Scientific Computing WS 2018/2019. Lecture 15. Jürgen Fuhrmann Lecture 15 Slide 1

TOPICS IN HOMOGENIZATION OF DIFFERENTIAL EQUATIONS 7

MATH 425, HOMEWORK 3 SOLUTIONS

Differential equations, comprehensive exam topics and sample questions

Diffusion on the half-line. The Dirichlet problem

A Variational Analysis of a Gauged Nonlinear Schrödinger Equation

Mathematical Methods for Neurosciences. ENS - Master MVA Paris 6 - Master Maths-Bio ( )

Stability of an abstract wave equation with delay and a Kelvin Voigt damping

GLOBAL ATTRACTIVITY IN A CLASS OF NONMONOTONE REACTION-DIFFUSION EQUATIONS WITH TIME DELAY

1 Introduction We will consider traveling waves for reaction-diusion equations (R-D) u t = nx i;j=1 (a ij (x)u xi ) xj + f(u) uj t=0 = u 0 (x) (1.1) w

Problem set 3: Solutions Math 207B, Winter Suppose that u(x) is a non-zero solution of the eigenvalue problem. (u ) 2 dx, u 2 dx.

Homogenization of the compressible Navier Stokes equations in domains with very tiny holes

ON A PRIORI ERROR ANALYSIS OF FULLY DISCRETE HETEROGENEOUS MULTISCALE FEM

The KPP minimal speed within large drift in two dimensions

Partial Differential Equations

Introduction to Partial Differential Equations

Uniform estimates for Stokes equations in domains with small holes and applications in homogenization problems

Formal Asymptotic Homogenization

4.7 Dispersion in an oscillatory shear flow

ADJOINT METHODS FOR OBSTACLE PROBLEMS AND WEAKLY COUPLED SYSTEMS OF PDE. 1. Introduction

In this chapter we study elliptical PDEs. That is, PDEs of the form. 2 u = lots,

Krein-Rutman Theorem and the Principal Eigenvalue

Real Variables # 10 : Hilbert Spaces II

Introduction LECTURE 1

Boundary conditions. Diffusion 2: Boundary conditions, long time behavior

Control, Stabilization and Numerics for Partial Differential Equations

Nonlinear and Nonlocal Degenerate Diffusions on Bounded Domains

STRUCTURAL OPTIMIZATION BY THE LEVEL SET METHOD

Local smoothing and Strichartz estimates for manifolds with degenerate hyperbolic trapping

REACTION-DIFFUSION EQUATIONS FOR POPULATION DYNAMICS WITH FORCED SPEED II - CYLINDRICAL-TYPE DOMAINS. Henri Berestycki and Luca Rossi

Exit times of diffusions with incompressible drift

Homogenization Theory

Kramers formula for chemical reactions in the context of Wasserstein gradient flows. Michael Herrmann. Mathematical Institute, University of Oxford

REMARKS ON THE VANISHING OBSTACLE LIMIT FOR A 3D VISCOUS INCOMPRESSIBLE FLUID

LECTURE 3 NUMERICAL METHODS OF HOMOGENIZATION

Controllability of linear PDEs (I): The wave equation

Lecture 12: Detailed balance and Eigenfunction methods

Analysis of PDE models of molecular motors. Benoît Perthame based on works with P. E. Souganidis

Section 12.6: Non-homogeneous Problems

Some Notes on Elliptic Regularity

Some recent results on controllability of coupled parabolic systems: Towards a Kalman condition

CRYSTAL DISSOLUTION AND PRECIPITATION IN POROUS MEDIA: L 1 -CONTRACTION AND UNIQUENESS

Mathematical modelling of collective behavior

Conservation Laws of Surfactant Transport Equations

ON THE SPECTRUM OF THE DIRICHLET LAPLACIAN IN A NARROW STRIP

Lubrication and roughness

analysis for transport equations and applications

On Schrödinger equations with inverse-square singular potentials

On quasi-richards equation and finite volume approximation of two-phase flow with unlimited air mobility

Enhanced resolution in structured media

Composite Membranes. 8th August 2006

Transcription:

1 TRANSPORT IN POROUS MEDIA G. ALLAIRE CMAP, Ecole Polytechnique 1. Introduction 2. Main result in an unbounded domain 3. Asymptotic expansions with drift 4. Two-scale convergence with drift 5. The case of bounded domains Ecole CEA-EDF-INRIA, 13-16 Décembre 20

2 -I- INTRODUCTION Based on a joint work with A. Mikelic and A. Piatnitski. Infinite porous medium: (connected) fluid part Ω f, solid part Ω s = R n \ Ω f. Saturated incompressible single phase flow in Ω f and a single solute. The unknown is the concentration u in the fluid. convection diffusion in the fluid: u τ + b yu div y (D y u) = 0 in Ω f (0, T ), Given incompressible and steady-state velocity: div b = 0 in Ω f no-flux boundary condition on the pore boundaries: b n = 0 and D y u n = 0 on Ω f (0, T ),

3 Scaling We want to upscale this model, so we define a large macroscopic scale ǫ 1 and we choose a long time scale of order ǫ 2 (parabolic or diffusion scaling) x = ǫy and t = ǫ 2 τ. We define u ǫ (t, x) = u(τ, y) which is a solution of u ǫ t + 1 ǫ b ǫ x u ǫ div x (D ǫ x u ǫ ) = 0 in Ω ǫ (0, T) with T = ǫ 2 T. u ǫ (x, 0) = u 0 (x), x Ω ǫ, D ǫ x u ǫ n = 0 on Ω ǫ (0, T)

4 Periodicity assumption ε 00 11 000 111 00 11 00 11 00 11 00 11 00 11 00 11 00 11 000 111 00 110 1 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 00 11 Ω Periodic unit cell Y = (0, 1) n = Y O with fluid part Y Periodic (infinite) porous media x Ω ǫ y Y ( x ) Stationary incompressible periodic flow b ǫ (x) = b ǫ Y and b n = 0 on O ( x ) Periodic symmetric coercive diffusion D ǫ (x) = D ǫ with div y b = 0 in

5 Another approach to scaling: dimensional analysis We write the same equations with dimensional constants denoted by * : c t + b x c div x (D x c ) = 0 in Ω f (0, T ), D x c n = 0 on Ω f (0, T ),

6 Dimensional analysis (ctd.) We adimensionalize the equations as follows: Characteristic lengthscale L R and timescale T R. Period l << L R : we introduce a small parameter ǫ = l L R. Characteristic velocity b R. Characteristic concentration c R. Characteristic diffusivity D R. New adimensionalized variables and functions: x = x, t = t, b ǫ (x, t) = b (x, t ), D = D, u ǫ = c L R T R b R D R c R

7 Dimensional analysis (ctd.) Dimensionless equation u ǫ t + b RT R b ǫ x u ǫ D RT R L R L 2 div x (D x u ǫ ) = 0 in Ω ǫ (0, T) R and D x u ǫ n = 0 on Ω ǫ (0, T). We choose a diffusion timescale, i.e., we assume T R = L2 R D R. Péclet number: Pe = L Rb R D R. We assume Pe = ǫ 1. u ǫ t + Pe b ǫ x u ǫ div x (D x u ǫ ) = 0 in Ω ǫ (0, T)

8 Microscopic model u ǫ t + 1 ǫ b ǫ x u ǫ div x (D ǫ x u ǫ ) = 0 in Ω ǫ (0, T) u ǫ (x, 0) = u 0 (x), x Ω ǫ, D ǫ x u ǫ n = 0 on Ω ǫ (0, T) Assumptions: Stationary incompressible periodic flow div y b = 0 in Y, b n = 0 on O Periodic symmetric coercive diffusion D Goal of homogenization: find the effective diffusion tensor.

9 -II- MAIN RESULT Theorem. The solution u ǫ satisfies u ǫ (t, x) u (t, x b ǫ ) t with the effective drift b = 1 Y b(y) dy Y and u the solution of the homogenized problem u t div (A u) = 0 in R n (0, T) u(t = 0, x) = u 0 (x) in R n

10 Precise convergence u ǫ (t, x) = u (t, x b ǫ ) t + r ǫ (t, x) with T lim ǫ 0 0 R n r ǫ (t, x) 2 dt dx = 0,

11 Homogenized diffusion tensor A ij = D(e i + y χ i ) (e j + y χ j )dy Y where χ i (y), 1 i n, are solutions of the cell problems b(y) y χ i div y (D(y) ( y χ i + e i )) = (b b(y)) e i D(y) ( y χ i + e i ) n = 0 on O y χ i (y) Y -periodic in Y Remark that the value of b is exactly the compatibility condition for the existence of χ i.

12 Define ũ ǫ (t, x) = u Equivalent homogenized equation (t, x b ǫ t ). Then, it is solution of ũ ǫ t + 1 ǫ b ũ ǫ div (A ũ ǫ ) = 0 in R n (0, T) ũ ǫ (t = 0, x) = u 0 (x) in R n

13 -III- TWO-SCALE ANSATZ WITH DRIFT To motivate our result, let us start with a formal process. Standard two-scale asymptotic expansions should be modified to introduce an unknown large drift b R n u ǫ (t, x) = + i=0 ( ǫ i u i t, x b t ǫ, x ), ǫ with u i (t, x, y) a function of the macroscopic variable x and of the periodic microscopic variable y Y = (0, 1) n.

14 We plug these ansatz in the system of equations and use the usual chain rule derivation ( (u i t, x b t ǫ, x )) = ( ) ( ǫ 1 y u i + x u i t, x b t ǫ ǫ, x ), ǫ plus a new contribution t ( (u i t, x b t ǫ, x )) ǫ = u i t ǫ 1 b x u }{{} i ( t, x, x ǫ new term )

15 Fredholm alternative in the unit cell Lemma. The boundary value problem b(y) y χ div y (D(y) y χ) = f D(y) y χ n + g = 0 on O y χ(y) Y -periodic in Y admits a unique solution χ H 1 (Y )/R (up to an additive constant), if and only if f(y) dy + g(y) ds = 0. Y O

16 Variational formulation of the cell problem b(y) y χ(y)φ(y) dy + D y χ(y) y φ(y) dy = Y Y f(y)φ(y) dy + g(y)φ(y) ds Y O for any test function φ H 1 (Y ). Coercive bilinear form on the orthogonal subspace to its kernel R.

17 Cascade of equations Equation of order ǫ 2 : b(y) y u 0 div y (D(y) y u 0 ) = 0 in Y D(y) y u 0 n = 0 on O y u 0 (t, x, y) Y -periodic We deduce u 0 (t, x, y) u(t, x)

18 Equation of order ǫ 1 : b x u 0 + b(y) ( x u 0 + y u 1 ) div y (D(y) ( x u 0 + y u 1 )) = 0 in Y D ( x u 0 + y u 1 ) n = 0 on O y u 1 (t, x, y) Y -periodic We deduce u 1 (t, x, y) = n i=1 u 0 x i (t, x)χ i (y)

19 Cell problem b(y) y χ i div y (D(y) ( y χ i + e i )) = (b b(y)) e i in Y D(y) ( y χ i + e i ) n = 0 on O y χ i (y) Y -periodic The compatibility condition (Fredholm alternative) for the existence of χ i is b = 1 Y b(y) dy Y

20 Equation of order ǫ 0 : u t b x u 1 + b ( x u 1 + y u 2 ) div y (D ( x u 1 + y u 2 )) div x (D( y u 1 + x u)) = 0 in Y D ( x u 1 + y u 2 ) n = 0 on O y u 2 (t, x, y) Y -periodic Compatibility condition for the existence of u 2 homogenized problem. (Recall that u 1 is linear in x u.) u t div (A u) = 0 in R n (0, T) u(t = 0, x) = u 0 (x) in R n,

21 -IV- RIGOROUS PROOF The proof is made of 3 steps 1. A priori estimates. 2. Passing to the limit by two-scale convergence with drift. 3. Strong convergence.

22 A priori estimates Assume u 0 L 2 (R n ). For any final time T > 0, there exists a constant C > 0 that does not depend on ǫ such that u ǫ L (0,T;L 2 (Ω ǫ )) + u ǫ L 2 ((0,T) Ω ǫ ) C Proof. Multiply the fluid equation by u ǫ and integrate by parts to get the usual parabolic estimates.

23 Usual two-scale convergence Proposition. Let w ǫ be a bounded sequence in L 2 (R n ). Up to a subsequence, there exist a limit w(x, y) L 2 (R n T n ) such that w ǫ two-scale converges to w in the sense that ( lim w ǫ (x)φ x, x ) dx = ǫ 0 R ǫ n for all functions φ(x, y) L 2 (R n ; C(T n )). R n T n w(x, y)φ(x, y) dxdy

24 Two-scale convergence with drift Proposition (Marusic-Paloka, Piatnitski). Let V R N be a given drift velocity. Let w ǫ be a bounded sequence in L 2 ((0, T) R n ). Up to a subsequence, there exist a limit w 0 (t, x, y) L 2 ((0, T) R n T n ) such that w ǫ two-scale converges with drift weakly to w 0 in the sense that T ( lim w ǫ (t, x)φ t, x + V ǫ 0 0 R ǫ t, x ) dt dx = ǫ n T w 0 (t, x, y)φ(t, x, y) dt dxdy 0 R n T n for all functions φ(t, x, y) L 2 ((0, T) R n ; C(T n )).

25 Lemma. Let φ(t, x, y) L 2 ( (0, T) T N ; C c (R N ) ). Then T lim ǫ 0 0 R N (t, φ x + V ( x ) ) 2 ǫ t, dt dx = ǫ T 0 R N T N φ(t, x, y) 2 dt dxdy. Proof. Change of variables x = x + V ǫ t T 0 R N (t, φ x + V ( x ǫ t, ǫ ) ) 2 dt dx = T 0 R N ( φ t, x, x ǫ V ) 2 ǫ 2 t dt dx We mesh R N with cubes of size ǫ, R N = i Z Yi ǫ with Yi ǫ = x ǫ i R N ( φ t, x, x = i Z ǫ V ) 2 ǫ 2 t dx = i Y ǫ i ǫ N T N φ (x ǫ i, y) 2 dy + o(1) = + (0, ǫ)n ( φ t, x ǫ i, x ǫ V ) 2 ǫ 2 t dx + o(1) Ω Y φ (x, y) 2 dxdy + o(1)

26 Passing to the limit We multiply the equation by an oscillating test function with drift V = b Ψ ǫ = φ (t, x + Vǫ ) ( t + ǫ φ 1 t, x + V ǫ t, x ) ǫ and we use the two-scale convergence with drift to get the homogenized equation.

27 STRONG CONVERGENCE We use the notion of strong two-scale convergence with drift. Proposition. If w ǫ (t, x) two-scale converges with drift weakly to w 0 (t, x, y) (assumed to be smooth enough) and lim w ǫ L2 ((0,T) R ǫ 0 n ) = w 0 L2 ((0,T) R n T n ), then it converges strongly in the sense that w ǫ(t, x) w 0 (t, x b ǫ t, x ) ǫ lim ǫ 0 L 2 ((0,T) R n ) = 0

28 -V- NUMERICAL RESULTS Numerical computations done with FreeFem++ in 2-d for circular obstacles. The velocity b(y) is generated by solving the following filtration problem in the fluid part Y of the unit cell Y y p y b = e i in Y ; div y b = 0 in Y ; b = 0 p, b are Y periodic. on O;

29

30 1 10 0 10 1 10 2 10 3 10 Log-log plot of the longitudinal dispersion A 11 as a function of the local Péclet s number (asymptotic slope 1.7).

31 -VI- THE CASE OF BOUNDED DOMAINS Consider now a bounded domain Ω with a Dirichlet boundary condition on Ω. To study the long time behavior we consider the eigenvalue problem 1 ( x ) ( x ) ǫ b u ǫ div(d u ǫ ) = λ ǫ u ǫ in Ω ǫ ǫ ǫ u ǫ = 0 on Ω Ω ǫ, ( x ) D u ǫ n = 0 on Ω ǫ \ Ω ǫ where λ ǫ and u ǫ are the first eigenvalue and eigenfunction (which exists by the Krein-Rutman theorem). Assumptions: Stationary incompressible periodic flow div y b = 0 in Y, b n = 0 on O Periodic symmetric coercive diffusion D

32 1.4 1.2 1 0.8 0.6 0.4 0.2 0 0 10 20 30 40 50 60 70 80 90 100 Typical expected behavior of the first eigenfunction: because of the large drift it behaves like a boundary layer.

33 Following Bensoussan-Lions-Papanicolaou and Capdeboscq, for θ R N, we introduce the spectral cell problem div y (D(y) y ψ θ ) + b(y) y ψ θ = λ(θ)ψ θ in Y D(y) y ψ θ n = 0 on O y ψ θ (y)e θ y Y -periodic where λ(θ) and ψ θ are the first eigenvalue and eigenfunction. We also introduce the adjoint spectral cell problem div y (D(y) y ψθ) div y (b(y)ψθ) = λ(θ)ψθ D(y) y ψθ n = 0 on O y ψθ (y)e+θ y Y -periodic in Y The first eigenfunctions ψ θ and ψθ can be chosen positive and normalized by ψ θ (y)e θ y 2 dy = 1 and ψ θ (y)ψθ(y) dy = 1 T N T N

34 Lemma. The function θ λ(θ) is strictly concave from R N into R and admits a maximum λ which is obtained for a unique θ = θ. Denoting ψ = ψ θ and ψ = ψ θ, the vector field b(y) = ψ ψ b(y) + ψ D y ψ (y) ψ D y ψ (y) satisfies div y b = 0 in T N, T N b(y) dy = 0.

35 Change of unknown Define a new unknown function ũ ǫ (x) = u ǫ(x) ( ψ x ) ǫ ( and multiply the equation by ψ x ) ǫ. We obtain 1 x ) ũ ǫ div( ǫ b( ǫ D ( x ) ( x ) ũ ǫ ) = µ ǫ (ψ ψ ǫ ) ǫ ũ ǫ = 0 on Ω Ω ǫ, ( x ) D ũ ǫ n = 0 on Ω ǫ \ Ω ǫ ũ ǫ in Ω ǫ with D(y) = ψ (y)ψ (y)d(y) and µ ǫ = λ ǫ λ(θ ) ǫ 2

36 Homogenization Theorem 1. Since the new velocity b is divergence-free and has zero average, classical periodic homogenization can be applied lim µ ǫ = µ, ǫ 0 ũ ǫ ũ weakly in H 1 0(Ω) where (µ, ũ) is the first eigencouple of div( D ũ) = µũ ũ = 0 on Ω in Ω with D the usual homogenized matrix for D.

37 Conclusion Theorem 2. The asymptotic behavior of the first eigencouple of the original problem is λ ǫ = λ(θ ( ) ǫ 2 + µ + o(1), u ǫ (x) e + θ x x ) ǫ φ ũ(x) ǫ where φ (y) = ψ θ (y)e θ y is a Y -periodic function. Remark. The direction of concentration θ is different from the drift b = Y b(y) dy!

38 (a) t=0 (b) t=0. (c) t=0.02 (d) t=0.03 (e) t=0.04 (f) t=0.05 Isovalues of u ǫ for various t in the parabolic case (computations by I. Pankratova)

39 (g) t=0 (h) t=0.1 (i) t=0.2 (j) t=0.3 (k) t=0.4 (l) t=0.5 Rescaled isovalues of u ǫ for larger times t in the parabolic case (computations by I. Pankratova)