论文标题
控制复杂液体的粘性指法不稳定性
Controlling Viscous Fingering Instabilities of Complex Fluids
论文作者
论文摘要
储层计算是预测湍流的有力工具,其简单的架构具有处理大型系统的计算效率。然而,其实现通常需要完整的状态向量测量和系统非线性知识。我们使用非线性投影函数将系统测量扩展到高维空间,然后将其输入到储层中以获得预测。我们展示了这种储层计算网络在时空混沌系统上的应用,该系统模拟了湍流的若干特征。我们表明,使用径向基函数作为非线性投影器,即使只有部分观测并且不知道控制方程,也能稳健地捕捉复杂的系统非线性。最后,我们表明,当测量稀疏、不完整且带有噪声,甚至控制方程变得不准确时,我们的网络仍然可以产生相当准确的预测,从而为实际湍流系统的无模型预测铺平了道路。
The process of one fluid pushing another is universally common while involving complex interfacial instabilities. Particularly, occurring in a myriad of natural and industrial processes, wavy fingering patterns frequently emerge when a less viscous fluid pushes another more viscous one, such as water invading oil, in a porous medium. Such finger-shaped interfaces producing partial displacement significantly affect the efficiency of numerous applications, for example, chromatography, printing devices, coating flows, oil-well cementing, as well as large-scale technologies of groundwater and enhanced oil recovery (EOR). This classical viscous fingering instability is notoriously difficult to control because the two fluids' viscosity or mobility ratio is often fixed and yet the predominant drive of the instability. Although some strategies have been recently revealed for simple fluids of constant viscosity, the feasibility of controlling the fundamental viscous fingering instability for omnipresent complex fluids has not been established. Here, we demonstrate how to control a common complex fluid (of a power-law fluid with a yield-stress) using a narrow tapered cell theoretically and experimentally.