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首页> 外文期刊>Microfluidics and nanofluidics >Some insights into the use of pore network simulations for predicting single-phase fluid flow in model porous media
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Some insights into the use of pore network simulations for predicting single-phase fluid flow in model porous media

机译：用于预测模型多孔介质中单相流体流动的孔网络模拟的一些见解

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This study revisited the single-phase fluid flow in two-dimensional model porous media using pore network simulation (PNS). Some throats were randomly blocked to increase the tortuosity. Then single-phase fluid flow simulations were carried out in these networks using direct numerical simulation (DNS). Different correlations are usually used to estimate the pressure drop in throats, contractions, and expansions. We critically reconsidered the correlations available in the literature and introduced new correlations based on the results obtained from DNS. Trapezoidal and circular half-pore sections were studied separately, and it was concluded that the correlations are very sensitive to the pore body's geometry. The correlations extracted for throats and expansions precisely predict the permeability of corresponding elements in the network. The correlation for the contraction section did not match the respective DNS data in the network. A large discrepancy was observed by comparing the streamlines in the networks with the flow paths in isolated flow paths (not in the network). We found that the correlation for contraction section based on uniform flow at the inlet is not suitable for networks with complex pore structures. We showed that PNS's applicability with current correlations is limited to situations where throat resistance controls the permeability. By analyzing Darcy and Forchheimer's parameters, a large deviation was seen between PNS and DNS results. We demonstrated that eddies might form within the Darcy regime. In the model porous media studied in this paper, eddies and inertial core flow were known to play a prominent role in deviation from Darcy flow, which are not considered by PNS. It was concluded that short-range correlations are essential in modeling fluid flow at sub-pore level.
机译：该研究使用孔网络仿真（PNS）重新判断了二维模型多孔介质中的单相流体流动。一些喉咙被随机阻止增加曲折。然后使用直接数值模拟（DNS）在这些网络中进行单相流体流动模拟。通常使用不同的相关性来估计喉咙，收缩和扩展中的压降。我们重新考虑文献中可用的相关性，并根据从DNS获得的结果引入新相关性。分别研究梯形和圆形半孔部分，得出结论，相关性对孔体的几何形状非常敏感。提取用于喉部和扩展的相关性精确地预测了网络中相应元件的渗透性。收缩部分的相关性与网络中的各个DNS数据不符。通过将网络中的流线与隔离的流动路径中的流动路径（不在网络中）比较来观察到了大的差异。我们发现基于入口处的均匀流的收缩部分的相关性不适用于具有复杂孔结构的网络。我们认为PNS对电流相关性的适用性仅限于喉部阻力控制渗透性的情况。通过分析Darcy和Forchheimer的参数，PNS和DNS结果之间看到了大的偏差。我们证明埃迪迪可能在达西政权内形成。在本文中研究的模型多孔介质中，已知漩涡和惯性核心流动在偏离与达西流动的偏差中发挥着突出作用，这些作用不考虑PNS。结论是，短距离相关性对于亚孔水平的液体流动建模至关重要。

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