AGER推荐文章--网络模型基础上流体流变学特征和孔隙连通性对岩石渗透率的影响分析
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AGER
Advances in Geo-Energy Research
推荐文章
网络模型基础上流体流变学特征和孔隙连通性对岩石渗透率的影响分析
摘要
Effects of Fluid Rheology and Pore Connectivity on Rock Permeability Based on a Network Model
Fansheng Xiong, Weitao Sun, Jing Ba, Jose M. Carione
Abstract
Permeability is an important rock property in exploration geophysics. Darcy's law assumes a steady‐state regime and constant permeability. However, recent studies showed that the effects of fluid viscosity and pore geometry on permeability cannot be neglected. The periodic variation of pore fluid pressure gradient due to elastic wave propagation induces the oscillated fluid flow. We consider a Maxwell fluid in a 3‐D pore network subject to harmonic oscillations. The network is based on the Voronoi method, which provides a realistic connectivity. The permeability of polyethylene oxide and cetylpyridinium chloride and sodium salicylate solution have been simulated. The results show that permeability is constant at frequencies less than several kHz and rapidly decreases to extremely low values as frequency tends to infinite. In addition, we find that fluid mainly flows in sparse‐large pore networks at low frequencies and in dense‐small pore networks at high frequencies. The Maxwell fluid shows significant permeability peaks related to the mean coordination number, indicating that there exists an optimal network connectivity at which fluid flow is maximum. These results have been central to understand how fluid flows in natural reservoir rocks. The permeability variations versus frequency, fluid rheology, and pore connectivity provide key information of reservoir fluid properties and pore network structure. The results indicate that it is questionable whether Darcy static permeability can be applied at high frequencies.
Figure 1. Equivalent random network with pore‐throat structure. The color from blue to red indicates a transition from small to large size/radius of the pore/throat.
Figure 12. Permeability as a function of MCN(z value) at different frequencies for a Maxwell fluid. The open circles are the numerical results, and the dashed line is a fitting curve of the power model (for a) and Gaussian model (for b to d). (a) At low frequencies (10 Hz), permeability decreases as z increases from a small value (sparse‐large‐pore network) to large z (dense‐small‐pore network). (b) At intermediate frequencies (9 kHz), permeability is comparable in networks with small and large z. Two peaks appear at MCN around 9.7 and 10.6. (c) Permeability in dense‐small‐pore network (large z) exceeds that of the sparse‐large‐pore network (small z) at 10 kHz. (d) At high frequencies (100 kHz), the permeability in dense‐small‐pore network becomes dominant (peak at z = 10.9), but the magnitude is much lower than that at low frequencies.
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