Flow and dispersion in porous media: Lattice‐Boltzmann and NMR studies

Manz, B.; Gladden, Lynn F.; Warren, Patrick B.

doi:10.1002/aic.690450902

Cited by 189 publications

(119 citation statements)

References 51 publications

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“…Nevertheless, the simulations show a large subset of particles with zero flow. Other groups 21 had success in using a LB simulation on a lattice generated directly from a MRI image of a real bead pack using a Monte Carlo simulation to produce agreement with measured propagators. It is not the goal of this work to be able to fully predict NMR results with a simulation technique, merely to develop two independent methods for inspecting the nonlocal dispersion tensor.…”

Section: B Propagator Measurementmentioning

confidence: 99%

Nuclear magnetic resonance measurement and lattice-Boltzmann simulation of the nonlocal dispersion tensor

2010

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The nonlocal dispersion tensor D NL provides a fundamental description of velocity correlations and displacement information in a dispersive system. It is shown that pulsed gradient spin echo nuclear magnetic resonance can be used to measure this tensor, and we present here the first measurement of D NL in a complex flow by this or any other methods. These measurements are complemented by simulations based on a lattice-Boltzmann calculation of the fluid flow. For dispersive flow in a random bead pack of monosized spheres, six nonzero, independent components remain. These components have been measured at three times less than v , the time to flow one bead diameter. It is shown here that the various elements of D NL provide insights regarding the dispersive flow, which are extremely sensitive to the details of local correlations.

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Section: B Propagator Measurementmentioning

confidence: 99%

Nuclear magnetic resonance measurement and lattice-Boltzmann simulation of the nonlocal dispersion tensor

2010

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“…NMR data are compared with data derived from computer-generated porous matrices in (e.g., [4][5][6]). Another approach is to use NMR tomography data of the porous structure as input for further simulation, as described in [7]. All the above approaches show good agreement between calculated and experimental results in the case of Newtonian fluids.…”

Section: Introductionmentioning

confidence: 99%

Newtonian and Non‐Newtonian Low Re Number Flow Through Bead Packings

et al. 2006

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The results of measurements of velocity distributions of Newtonian and nonNewtonian fluids flowing through porous media are described in this contribution. The porous matrix was modeled by glass beads of different diameters forming a random bead packing confined by a circular tube. These packings were passed through by aqueous solutions of glucose and xanthane gum. Nuclear magnetic resonance (NMR) methods were applied to investigate the flow field in the packing. Spatially resolved and integral displacement distribution measurements were reported.

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“…Although used for large-scale fluid dynamics simulations such as flows around aircraft wings [3], the LBE approach is particularly adapted to simulating mesoscopic problems [4]. These include, for example, porous medium flows, and flows of complex and multicomponent fluids with microstructure [5][6][7][8][9]. The latter can be modelled using various extensions of the basic algorithm for a single component fluid [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Simulating colloid hydrodynamics with lattice Boltzmann methods

Cates

Stratford

Adhikari

et al. 2004

J. Phys.: Condens. Matter

100

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Abstract. We present a progress report on our work on lattice Boltzmann methods for colloidal suspensions. We focus on the treatment of colloidal particles in binary solvents and on the inclusion of thermal noise. For a benchmark problem of colloids sedimenting and becoming trapped by capillary forces at a horizontal interface between two fluids, we discuss the criteria for parameter selection, and address the inevitable compromise between computational resources and simulation accuracy.

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Flow and dispersion in porous media: Lattice‐Boltzmann and NMR studies

Cited by 189 publications

References 51 publications

Nuclear magnetic resonance measurement and lattice-Boltzmann simulation of the nonlocal dispersion tensor

Nuclear magnetic resonance measurement and lattice-Boltzmann simulation of the nonlocal dispersion tensor

Newtonian and Non‐Newtonian Low Re Number Flow Through Bead Packings

Simulating colloid hydrodynamics with lattice Boltzmann methods

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