Stratified two-phase flows of oil and water are important to the energy industry, and models capable of predicting this type of flow are primordial. Many studies focus on fluids with low viscosity, but a high viscosity oil in the mixture significantly changes its behavior. We gathered experimental data of pressure drop, volumetric fractions, and flow-pattern data of a stratified liquid–liquid flow with high viscosity ratio. In addition, a wire-mesh sensor provided tomographic views of the flow. The data were compared with computational fluid dynamics (CFD) models using OpenFOAM and a one-dimensional model. CFD simulations used an interface capturing method, and turbulence damping was introduced to avoid high eddy viscosity at the interface region. Reynolds Average Navier–Stokes and large eddy simulations were used to account for turbulence, and they showed significant differences. The comparisons showed good overall results for pressure drop, volumetric fractions, and phase distributions between CFD and experiments.

中文翻译：

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分层粘性油水流的实验与数值研究

油和水的分层两相流对能源行业很重要，并且能够预测此类流的模型是原始的。许多研究集中在低粘度的流体上，但是混合物中的高粘度油会显着改变其行为。我们收集了具有高粘度比的分层液-液流的压降，体积分数和流型数据的实验数据。另外，金属丝网传感器提供了流动的断层图像。将数据与使用OpenFOAM和一维模型的计算流体动力学（CFD）模型进行比较。CFD仿真使用界面捕获方法，并且引入了湍流阻尼以避免界面区域的高涡流粘度。雷诺平均Navier–Stokes和大型涡模拟被用来解释湍流，他们表现出显着差异。比较表明，CFD和实验之间的压降，体积分数和相分布具有良好的总体结果。