Yang Yu, Long Wanghong, Yang Jingyi, Liu Tao
Shanghai Key Laboratory of Multiphase Materials Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
International Joint Research Center of Green Energy Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
ACS Omega. 2024 Jan 26;9(5):5215-5223. doi: 10.1021/acsomega.3c04817. eCollection 2024 Feb 6.
Understanding water transport in pore structures is essential for studying the impact of water leakage on oil and gas development in shale reservoirs. Previous apparent liquid permeability models have focused on describing the flow mechanism and paid less attention to the quantification of multiscale porous media within real samples and the convenience of numerically calculating multiscale flow-solid coupling. This study presents a multicomponent, multiscale pore spatial model by combining a representative elementary area (REA)-scale shale matrix grid model and fractal conical micropipe bundle model, facilitating quantification of the complex pore space in shale. The well-researched water-transport behavior in nanopores was then increased to describe REA-scale shale. The results show that the fractal conical micropipe model is more suitable for describing the heterogeneous pore structures of shale components than the fractal capillary bundle model. Wettability and fluid viscosity are key factors affecting the permeability enhancement of organic matter (OM) and inorganic matter (IOM), respectively. The degree of influence of OM heterogeneity on the total permeability of REA-scale shale depends on the total organic carbon content and permeability contrast between OM and IOM. Finally, an empirical model describing the macroscopic apparent liquid permeability of shale matrices was established that could quantify the effects of scale and porosity and permeability heterogeneity on permeability in shale matrices. The findings of this study can help us to better understand pore systems and fluid flow phenomena in shale matrices.
了解孔隙结构中的水传输对于研究页岩储层中漏水对油气开发的影响至关重要。以往的表观液体渗透率模型主要侧重于描述流动机制,而较少关注实际样品中多尺度多孔介质的量化以及多尺度流固耦合数值计算的便利性。本研究通过结合代表性单元面积(REA)尺度的页岩基质网格模型和分形锥形微管束模型,提出了一种多组分、多尺度孔隙空间模型,便于对页岩中复杂的孔隙空间进行量化。然后将在纳米孔中经过充分研究的水传输行为扩展到描述REA尺度的页岩。结果表明,与分形毛细管束模型相比,分形锥形微管模型更适合描述页岩组分的非均质孔隙结构。润湿性和流体粘度分别是影响有机质(OM)和无机质(IOM)渗透率增强的关键因素。OM非均质性对REA尺度页岩总渗透率的影响程度取决于总有机碳含量以及OM与IOM之间的渗透率对比。最后,建立了一个描述页岩基质宏观表观液体渗透率的经验模型,该模型可以量化尺度、孔隙度和渗透率非均质性对页岩基质渗透率的影响。本研究结果有助于我们更好地理解页岩基质中的孔隙系统和流体流动现象。