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On the validity of effective formulations for transport through heterogeneous porous media

机译:关于通过非均质多孔介质运输的有效制剂的有效性

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Geological heterogeneity enhances spreading of solutes and causes transport to be anomalous (i.e., non-Fickian), with much less mixing than suggested by dispersion. This implies that modeling transport requires adopting either stochastic approaches that model heterogeneity explicitly or effective transport formulations that acknowledge the effects of heterogeneity. A number of such formulations have been developed and tested as upscaled representations of enhanced spreading. However, their ability to represent mixing has not been formally tested, which is required for proper reproduction of chemical reactions and which motivates our work. We propose that, for an effective transport formulation to be considered a valid representation of transport through heterogeneous porous media (HPM), it should honor mean advection, mixing and spreading. It should also be flexible enough to be applicable to real problems. We test the capacity of the multi-rate mass transfer (MRMT) model to reproduce mixing observed in HPM, as represented by the classical multi-Gaussian log-permeability field with a Gaussian correlation pattern. Non-dispersive mixing comes from heterogeneity structures in the concentration fields that are not captured by macrodispersion. These fine structures limit mixing initially, but eventually enhance it. Numerical results show that, relative to HPM, MRMT models display a much stronger memory of initial conditions on mixing than on dispersion because of the sensitivity of the mixing state to the actual values of concentration. Because MRMT does not restitute the local concentration structures, it induces smaller non-dispersive mixing than HPM. However long-lived trapping in the immobile zones may sustain the deviation from dispersive mixing over much longer times. While spreading can be well captured by MRMT models, in general non-dispersive mixing cannot.
机译:地质异质性增加了溶质的扩散并导致运输异常(即非菲克式),其混合比分散所建议的要少得多。这意味着对运输进行建模需要采用对异质性进行显式建模的随机方法,或者采用承认异质性影响的有效运输公式。已经开发和测试了许多这样的配方,作为增强传播的放大表示。但是,它们代表混合的能力尚未经过正式测试,这是正确再现化学反应所必需的,并且可以激发我们的工作。我们建议,要使有效的运输方式被视为通过异质多孔介质(HPM)进行运输的有效表示,则应采用平均对流,混合和扩散的方式。它也应该足够灵活以适用于实际问题。我们测试了多速率传质(MRMT)模型重现HPM中观察到的混合的能力,以经典的多高斯对数渗透率场和高斯相关模式为代表。非分散混合来自浓度场中未被宏观分散捕获的异质结构。这些精细的结构最初会限制混合,但最终会增强混合。数值结果表明,相对于HPM,由于混合状态对浓度的实际值敏感,因此MRMT模型在混合时比在分散时显示出更强的初始条件记忆。由于MRMT不会重新建立局部浓度结构,因此与HPM相比,它引起较小的非分散混合。然而,在不动区域中的长寿命捕集可能会在更长的时间内维持分散混合的偏差。尽管MRMT模型可以很好地捕获扩散,但通常非分散混合无法捕获。

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