NETWORK MODEL EVALUATION OF PERMEABILITY AND SPATIAL CORRELATION IN A REAL RANDOM SPHERE PACKING
NETWORK MODEL EVALUATION OF PERMEABILITY AND SPATIAL CORRELATION IN A REAL RANDOM SPHERE PACKING
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DOI：
10.1007/bf00614635
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发表时间：
1993-04-01
影响因子：
2.7
通讯作者：
MELLOR, DW
中科院分区：
文献类型：
--
作者：
BRYANT, SL;KING, PR;MELLOR, DW
原则上，网络模型可以准确地再现多孔介质的微观结构。然而，在实践中，网络模型是使用有关孔隙结构的各种假设构建的。本文提出了一个真实的，无序多孔介质的网络模型，调用有关孔隙结构的任何假设。该模型的计算渗透率与实测渗透率吻合良好，提供了一个新的和更严格的确认网络方法的有效性。几个假设通常用于构建网络模型被发现是无效的随机包装的平等领域。此外，该模型允许量化孔隙尺度相关性（偏离随机性）对渗透率的影响。效果是可比的测量渗透率和其他网络模型的预测之间的差异报告。这一发现的意义是双重的。首先，多孔介质中传输的几个理论的关键假设，即孔隙尺寸随机分布在网络上，可能是无效的真实的多孔系统。其次，努力建立模型和测量孔隙尺度的相关性，可以产生更准确的预测渗透率。
In principle, network models can replicate exactly the microstructure of porous media. In practice, however, network models have been constructed using various assumptions concerning pore structure. This paper presents a network model of a real, disordered porous medium that invokes no assumptions regarding pore structure. The calculated permeability of the model agrees well with measured permeabilities, providing a new and more rigorous confirmation of the validity of the network approach. Several assumptions commonly used in constructing network models are found to be invalid for a random packing of equal spheres. In addition, the model permits quantification of the effect of pore-scale correlation (departure from randomness) upon permeability. The effect is comparable to reported discrepancies between measured permeabilities and predictions of other network models. The implications of this finding are twofold. First, a key assumption of several theories of transport in porous media, namely that pore dimensions are randomly distributed upon a network, may be invalid for real porous systems. Second, efforts both to model and to measure pore-scale correlations could yield more accurate predictions of permeability.