Monitoring water transport in sandstone using flow propagators: A quantitative comparison of nuclear magnetic resonance measurement with lattice Boltzmann and pore network simulations

•First comparison of lattice-Boltzmann and pore network modelling of flow fields in porous media.•Quantitative comparison with experimentally acquired propagators.•Use of first three moments of the displacement propagator to statistically compare methods.•Experiments and simulation lattices all deri...

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Veröffentlicht in:Advances in water resources 2013-10, Vol.60, p.64-74
Hauptverfasser: Hussain, R., Mitchell, J., Hammond, P.S., Sederman, A.J., Johns, M.L.
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Sprache:eng
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Zusammenfassung:•First comparison of lattice-Boltzmann and pore network modelling of flow fields in porous media.•Quantitative comparison with experimentally acquired propagators.•Use of first three moments of the displacement propagator to statistically compare methods.•Experiments and simulation lattices all derived from the same rock core. A comparison of advective displacement probability distributions (flow propagators) obtained by nuclear magnetic resonance (NMR) experiment with both lattice Boltzmann (LB) and pore network (PN) simulations is presented. Here, we apply all three methods to the exact same sample for the first time: we consider water transport in a Bentheimer sandstone. The LB and PN simulations are based on X-ray micro-tomography (XMT) images of a small rock sample; the NMR experiments are conducted on a much larger rock core-plug from which the small rock sample originated. Despite the limited size of the simulation domains, good agreement is achieved between all three sets of results, verified quantitatively by comparison of the low order moments of the flow propagators. We are concerned primarily with validating the simulations at high liquid flow rates (>10mlmin−1) in high permeability sandstone, ultimately for future application to geological carbon sequestration studies. Under these conditions the LB simulation is found, as expected, to be more robust than the PN model due primarily to the reduced requirement to manually tune the simulation lattice to match the petro-physical properties of the rock.
ISSN:0309-1708
1872-9657
DOI:10.1016/j.advwatres.2013.07.010