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Hypothesis 1: no porescale mixing

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Qualitatively similar to experimental conditions. Simulations on an Ordered Pack ... Simulations on a Disordered Pack. Max: 1. Min: 0. t = 0 sec. t = 60 sec ... – PowerPoint PPT presentation

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Title: Hypothesis 1: no porescale mixing


1
Investigation of Pore-Scale (Local) Mixing (SPE
99782)
Raman K. Jha Steven L. Bryant Larry W.
Lake Abraham John Department of Petroleum and
Geosystems Engineering The University of Texas at
Austin
2
Role of Mixing in Porous Media
  • Dilutes the injected solvent slug and reduces its
    displacement efficiency
  • Understanding mixing important for
  • determining the effectiveness of miscible floods
  • better design and control of miscible flood
    processes

3
Mechanisms of Mixing in Porous Media
  • A complex process involving an interplay of
  • Mechanical Mixing
  • velocity differences within pores
  • path differences
  • Molecular Diffusion
  • random movement of solute molecules

4
Conventional Quantification of Mixing
  • Flow averaged concentration histories measured in
    laboratories
  • Core-scale mixing termed as dispersion used to
    quantify mixing
  • No information about origin of core scale mixing

5
Hypotheses for Solute Mixing
Hypothesis 1 Streamline Flow Hypothesis
  • No interaction among solute particles on
    different streamlines
  • Core scale mixing an artifact of particle
    residence time distribution

6
Hypotheses for Solute Mixing
Hypothesis 2 Local Mixing Hypothesis
  • Streamline flow with random jump of particles to
    neighboring streamlines
  • Core scale mixing a result of local mixing

7
Approach
  • Measure local solute concentration history using
    a thin probe
  • Investigate mixing mechanism by solving Navier
    Stokes and convection diffusion equations in pore
    space

8
Experimental Studies
  • Standard tracer step change experiments in a sand
    column
  • Overall (cup-mixing) concentration history
    obtained
  • A thin electrical conductivity probe developed to
    measure local solute concentration
  • Local solute concentration history measured at
    several radial and axial positions

9
Experimental Measurements
  • Gradual rise in local solute concentration
  • Local mixing same as core scale mixing

10
Experimental Measurements
  • Mixing zone grows with distance traveled
  • Local mixing same as core scale mixing
  • Local mixing hypothesis valid

11
Discussion on Experimental Results
Mixing Cell Theory
If diffusion to
equalizes concentration within each pore For our
experiments
Complete local mixing because of molecular
diffusion
12
Computational Studies
  • To corroborate experimental observations
  • To understand mixing mechanism over a wider range
    of flow conditions
  • Navier-Stokes and convection-diffusion equations
    solved in surrogate pore space to simulate
    miscible flow
  • Simulations carried out for a range of flow
    velocities and diffusion coefficients

13
Simulations on an Ordered Pack
  • Fluid injected at inlet face at
  • Outlet face at atmospheric pressure
  • Navier-Stokes equation solved to obtain steady
    state velocity profile

14
Simulations on an Ordered Pack
  • Concentration profile obtained by solving
    convection-diffusion equation

15
Simulations on an Ordered Pack
Qualitatively similar to experimental conditions
16
Simulations on an Ordered Pack
  • Diffusion enhances mixing

17
Simulations on an Ordered Pack
For homogeneous media local and overall mixing
are same for complete local mixing
18
Simulations on a Disordered Pack
Wide variation in local velocity
19
Simulations on a Disordered Pack
20
Simulations on a Disordered Pack
Local Mixing differs with position in
heterogeneous medium
21
Simulations on a Disordered Pack
Diffusion enhances local mixing and reduces
effect of local heterogeneity on solute transport
22
Simulations on a Disordered Pack
For diffusion dominated process all the local and
overall curves collapse into one
23
Simulation of Slug Injection Process
Incomplete mixing inside the pore body at higher
24
Conclusions
  • Evidence of non-zero local mixing in experiments
  • Mixing a result of velocity variations within the
    pores and molecular diffusion
  • The converging-diverging flow around sand grains
    causes the solute front to stretch, split and
    rejoin

25
Conclusions
  • Diffusion tends to reduce radial variation in
    solute concentration
  • For slow fluid velocity diffusion is able to
    homogenize solute concentration inside each pore
  • In limit of very high fluid velocity (or no
    diffusion) local mixing tends to zero
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