A new algorithm is proposed to generate virtual porous media based on predefined porosity and particle size distribution (PSD). Synthetic packings of different porosities, sphericities, and PSD curves are numerically constructed using the proposed approach. Based on these virtual porous material empirical correlations are tuned for estimation of permeability and formation factor as functions of porosity and median grain size. The proposed procedure is inspired from crystallization concept addressing the capability of dealing with tight media with no porosity limitation and the flexibility to easily control the grain sphericity. The post-processing results, including estimation of permeability, formation factor and electrical resistivity, are compared with experimental data. Besides, a sensitivity analysis is conducted to elucidate the impact of grain irregularity (sphericity) on permeability.

提出了一种基于预定义的孔隙率和粒径分布（PSD）生成虚拟多孔介质的新算法。使用提出的方法数值构造了不同孔隙度，球形度和PSD曲线的合成填料。基于这些虚拟的多孔材料，对经验相关性进行了调整，以估计渗透率和形成因数，作为孔隙率和中值粒径的函数。所提出的过程是受结晶概念启发的，该概念涉及处理紧密介质而无孔隙限制的能力以及易于控制晶粒球形度的灵活性。将后处理结果（包括磁导率，形成因数和电阻率的估计值）与实验数据进行比较。除了，