External excitation of oil reservoirs has shown promising potential in increasing residual oil recovery. Although several numerical, experimental, and pilot studies were conducted over the last decades, large-scale field application is not realized due to inconclusive results on its performance. This paper aims to investigate the effect of external excitation on the flow behavior of an oil blob trapped in a constricted capillary tube model. Flow evolution and characteristic flow behaviors were studied using computational fluid dynamics (CFD) simulations. An external excitation with a sinusoidal profile propagating in the axial direction was applied at the wall of the constricted capillary tube model. The excitation intensity and frequency were varied to identify the flow characteristics. The results show that under the influence of external excitation, three distinct flow regimes develop based on the excitation frequency and intensity; these are trapped, clear pass, and dispersed pass. Velocity profiles, streamlines, and pressure contours were used to examine the resulting flow behaviors. In addition, dimensional analysis was carried out, and the dominant factors in each flow regime were identified. The dominant dimensionless numbers are Euler number, Reynolds number, and Weber number. Accordingly, the three flow regimes were mapped in the domains of these dimensionless numbers. As such, under given flow conditions, fluid properties, and external excitation parameters, the subsequent flow behavior can be predicted using the characteristic flow behavior maps presented in the study. Moreover, any of these flow regimes can be induced for a given application by tuning the excitation parameters based on the dimensionless characteristic maps presented.

储油层的外部激励已显示出增加残留油采收率的潜力。尽管在过去的几十年中进行了一些数值，实验和试验研究，但由于其性能尚无定论，因此尚未实现大规模的现场应用。本文旨在研究外部激励对狭窄毛细管模型中捕获的油团流动行为的影响。使用计算流体动力学（CFD）模拟研究了流体演化和特征流体行为。在收缩的毛细管模型的壁上施加具有沿轴向传播的正弦曲线轮廓的外部激励。改变激发强度和频率以识别流动特性。结果表明，在外部激励的影响下，基于激励频率和强度，形成了三种不同的流态。这些是陷阱，清晰通行证和分散通行证。速度分布，流线和压力等高线用于检查最终的流动行为。此外，进行了尺寸分析，并确定了每个流态中的主要因素。主导的无量纲数是欧拉数，雷诺数和韦伯数。因此，将三种流动方式映射到这些无量纲数的域中。这样，在给定的流动条件，流体特性和外部激励参数下，可以使用研究中提供的特征流动行为图来预测随后的流动行为。此外，