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Investigating the relative permeability behavior of microporosity-rich carbonates and tight sandstones with multiscale pore network models

机译:用多尺度孔隙网络模型研究富含微孔的碳酸盐岩和致密砂岩的相对渗透性

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The relative permeability behavior of rocks with wide ranges of pore sizes is in many cases still poorly understood and is difficult to model at the pore scale. In this work, we investigate the capillary pressure and relative permeability behavior of three outcrop carbonates and two tight reservoir sandstones with wide, multimodal pore size distributions. To examine how the drainage and imbibition properties of these complex rock types are influenced by the connectivity of macropores to each other and to zones with unresolved small-scale porosity, we apply a previously presented microcomputed-tomography-based multiscale pore network model to these samples. The sensitivity to the properties of the small-scale porosity is studied by performing simulations with different artificial sphere-packing-based networks as a proxy for these pores. Finally, the mixed-wet water-flooding behavior of the samples is investigated, assuming different wettability distributions for the microporosity and macroporosity. While this work is not an attempt to perform predictive modeling, it seeks to qualitatively explain the behavior of the investigated samples and illustrates some of the most recent developments in multiscale pore network modeling.
机译:在许多情况下,对孔径范围宽的岩石的相对渗透性行为仍然知之甚少,并且很难在孔径范围内进行建模。在这项工作中,我们研究了具有广泛的多峰孔径分布的三种露头碳酸盐岩和两种致密储层砂岩的毛细管压力和相对渗透性。为了检查这些复杂岩石类型的排水和吸水特性如何受到大孔隙相互之间以及与未解决的小尺度孔隙率区域的连通性的影响,我们对这些样品应用了先前提出的基于微计算机断层摄影的多尺度孔隙网络模型。通过使用不同的基于人工球体填充的网络作为这些孔隙的替代物进行模拟,研究了对小孔隙度性质的敏感性。最后,假设微孔和大孔的润湿性分布不同,研究了样品的混合湿水驱替行为。尽管这项工作不是进行预测建模的尝试,但它试图定性地解释所研究样品的行为,并说明了多尺度孔隙网络建模中的一些最新进展。

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