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A joint model for calculating capillary pressure of confined fluid based on the SWCF-VR equation of state

机译:基于SWCF-VR方程计算限制流体毛细管压力的关节模型

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The capillary effect caused by the confinement in porous media leads to strongly differences in the physical properties and phase equilibrium of the fluids apart from the bulk phase. A joint model was established for investigating the capillary effect by combining Young-Laplace equation and the square well chain-like fluid with variable well-width range (SWCF-VR) equation of state. The Young-Laplace equation supplies a simple way to relate the capillarity with the bulk properties, and the SWCF-VR equation was able to accurately describe the equilibrium of fluid in bulk phase compared with the Peng-Robinson equation. The model could predict well the phase equilibrium when comparing with experimental data in bulk, and consequently the results for confined fluids. The model was verified by experimental and computer simulation data. Further, the binary adjustable parameters of SWCF-VR EOS used in this study could be updated once the experimental data in confined situation are reported. In addition, the model could be used for complex component when experimental data are unavailable since the four parameters of EOS could be predicted. (C) 2019 Elsevier B.V. All rights reserved.
机译:由多孔介质的限制引起的毛细血管效应导致流体与体相的物理性质和相平衡的强烈差异。建立联合模型,用于通过将幼拉方程和具有可变井宽范围(SWCF-VR)状态的方程组合的幼拉方程和平方阱链状流体来研究毛细血管效应。杨拉普拉斯方程提供了一种简单的方法来使毛细管性与批量性质相关,并且与彭罗宾逊方程相比,SWCF-VR方程能够准确地描述散装相的流体平衡。当与散装实验数据相比,该模型可以预测相位平衡,因此狭窄流体的结果。通过实验和计算机模拟数据验证该模型。此外,一旦报告了限制情况的实验数据,可以更新本研究中使用的SWCF-VR EO的二元调节参数。此外,当可以预测EOS的四个参数以来,当实验数据不可用时,该模型可用于复杂组件。 (c)2019年Elsevier B.V.保留所有权利。

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