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Understanding capture of non-Brownian particles in porous media with network model

机译:用网络模型了解多孔介质中非布朗粒子的捕获

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摘要

Particles can invade porous media such as reservoir rocks and deep-bed filters, causing severe damage to their permeabilities. The mechanisms of permeability decline are attributed to surface deposition, bridging and size exclusion of particles in porous media. Traditional models are empirical correlations heavily dependent on filtration data. In this paper, a 2D square network model incorporating the damaging mechanisms is used to study the capture of non-Brownian particles in porous media and the resultant permeability damage. The model employs certain assumptions to imitate the characteristics of real porous media. The proposed procedure applies force analysis to obtain particle invasion depth, and determines damaging mechanisms by pore size to particle size ratio. The method is validated with test data and reasonably good results are obtained. The new model provides more insights into the capture process and does not rely on core flooding data.
机译:颗粒会侵入储层岩石和深层过滤器等多孔介质,从而严重损害其渗透率。渗透率下降的机制归因于多孔介质中颗粒的表面沉积,桥接和尺寸排阻。传统模型是经验相关性,在很大程度上取决于过滤数据。在本文中,使用包含损伤机制的二维正方形网络模型来研究多孔介质中非布朗粒子的捕获以及由此产生的渗透性破坏。该模型采用某些假设来模仿真实的多孔介质的特征。拟议的程序应用力分析以获得颗粒的侵入深度,并通过孔径与粒径之比确定破坏机理。该方法已通过测试数据验证,并获得了较好的结果。新模型提供了对捕获过程的更多见解,并且不依赖于核心泛洪数据。

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