Inorganic pore structures are critical to understand the oil and gas transport and storage properties of unconventional reservoirs. However, it can be difficult to quantitatively and qualitatively interpret the relationship between the inorganic pore structure and particle arrangement in terms of particle size and the brittle and clay mineral composition of shale. In this paper, artificial core simulations and mathematical modeling were performed to explore the effects of brittle mineral and clay mineral assemblages on shale pore structures. The artificial cores were subjected to computerized tomography and scanning electron microscopy analysis, as well as porosity and permeability testing. The results show that shale porosity and permeability increase with the brittle to clay mineral particle size ratio. This phenomenon is caused by the different arrangements of inorganic minerals in shale when the brittle to clay mineral particle size ratio is < 1 and > 1. A theoretical mathematical model based on mineral arrangement shows that shale permeability can be characterized by the inverse proportional function of mineral particle size. This investigation of shale pore heterogeneities on meso- and macroscales based on artificial cores provides new insights into the simulation of oil and gas transport in micro- to nanoscale pores and the understanding of pore evolution during the first diagenesis stage of shale, which is mainly composed of inorganic minerals.

无机孔隙结构对于了解非常规储层的油气输储特性至关重要。然而，就页岩的粒度和脆性和粘土矿物组成而言，很难定量和定性地解释无机孔隙结构与颗粒排列之间的关系。在本文中，通过人工岩心模拟和数学建模来探索脆性矿物和粘土矿物组合对页岩孔隙结构的影响。人工岩心经过计算机断层扫描和扫描电子显微镜分析，以及孔隙度和渗透率测试。结果表明，页岩孔隙度和渗透率随着脆性与粘土矿物粒度比的增加而增加。这种现象是由于脆性与粘土矿物粒度比<1和>1时页岩中无机矿物的排列不同造成的。基于矿物排列的理论数学模型表明，页岩渗透率可以用反比函数表征矿物粒度。这项基于人工岩心的中尺度和宏观尺度页岩孔隙非均质性研究为微观到纳米尺度孔隙中油气输运的模拟以及对页岩第一成岩阶段孔隙演化的理解提供了新的见解。无机矿物。基于矿物排列的理论数学模型表明，页岩渗透率可以用矿物粒度的反比函数来表征。这项基于人工岩心的中尺度和宏观尺度页岩孔隙非均质性研究为微观到纳米尺度孔隙中油气输运的模拟以及对页岩第一成岩阶段孔隙演化的理解提供了新的见解。无机矿物。基于矿物排列的理论数学模型表明，页岩渗透率可以用矿物粒度的反比函数来表征。这项基于人工岩心的中尺度和宏观尺度页岩孔隙非均质性研究为微观到纳米尺度孔隙中油气输运的模拟以及对页岩第一成岩阶段孔隙演化的理解提供了新的见解。无机矿物。