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Impact of geometrical properties on permeability and fluid phase distribution in porous media

机译:几何性质对多孔介质中渗透率和液相分布的影响

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摘要

To predict fluid phase distribution in porous media, the effect of geometric properties on flow processes must be understood. In this study, we analyze the effect of volume, surface, curvature and connectivity (the four Minkowski functionals) on the hydraulic conductivity and the water retention curve. For that purpose, we generated 12 artificial structures with 800~3 voxels (the units of a 3D image) and compared them with a scanned sand sample of the same size. The structures were generated with a Boolean model based on a random distribution of overlapping ellipsoids whose size and shape were chosen to fulfill the criteria of the measured functionals. The pore structure of sand material was mapped with X-rays from synchrotrons. To analyze the effect of geometry on water flow and fluid distribution we carried out three types of analysis: Firstly, we computed geometrical properties like chord length, distance from the solids, pore size distribution and the Minkowski functionals as a function of pore size. Secondly, the fluid phase distribution as a function of the applied pressure was calculated with a morphological pore network model. Thirdly, the permeability was determined using a state-of-the-art lattice-Boltzmann method. For the simulated structure with the true Minkowski functionals the pores were larger and the computed air-entry value of the artificial medium was reduced to 85% of the value obtained from the scanned sample. The computed permeability for the geometry with the four fitted Minkowski functionals was equal to the permeability of the scanned image. The permeability was much more sensitive to the volume and surface than to curvature and connectivity of the medium. We conclude that the Minkowski functionals are not sufficient to characterize the geometrical properties of a porous structure that are relevant for the distribution of two fluid phases. Depending on the procedure to generate artificial structures with predefined Minkowski functionals, structures differing in pore size distribution can be obtained.
机译:为了预测多孔介质中的液相分布,必须了解几何特性对流动过程的影响。在这项研究中,我们分析了体积,表面,曲率和连通性(四个Minkowski泛函)对水力传导率和保水率曲线的影响。为此,我们生成了12个具有800〜3个体素(3D图像的单位)的人工结构,并将它们与相同大小的扫描砂样进行了比较。这些结构是使用布尔模型生成的,该布尔模型基于重叠椭圆形的随机分布,其大小和形状选择为满足所测功能的标准。砂子的孔结构用同步加速器的X射线作图。为了分析几何形状对水流和流体分布的影响,我们进行了三种类型的分析:首先,我们计算了几何特性,如弦长,距固体的距离,孔径分布以及Minkowski函数随孔径的变化。其次,利用形态学孔网络模型计算了流体相分布随施加压力的变化。第三,使用最先进的晶格-玻尔兹曼方法确定磁导率。对于具有真正Minkowski官能团的模拟结构,孔较大,并且人工介质的计算出的空气进入值减少到从扫描样品中获得的值的85%。具有四个拟合的Minkowski泛函的几何计算的磁导率等于扫描图像的磁导率。渗透率对体积和表面的敏感性比对介质的曲率和连通性的敏感性要大得多。我们得出的结论是,Minkowski官能团不足以表征与两个流体相的分布相关的多孔结构的几何特性。取决于生成具有预定的Minkowski功能的人工结构的过程,可以获得孔径分布不同的结构。

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