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Prediction of Asphaltene Deposition in Porous Media by Systematic Upscaling from a Colloidal Pore Scale Model to a Deep Bed Filtration Model

机译:通过从胶体孔隙尺度模型到深床过滤模型的胶体升高预测多孔介质中的沥青质沉积

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We have successfully validated the Asphaltene Option in ECLIPSE, using an experimental data set from the literature. We compare our results with a previous Deep Bed Filtration simulation model of the same data. We find that the experimental data can be reproduced by using the surface deposition parameter α only. This provides an important simplification of the Asphaltene Option in ECLIPSE. Moreover, the values of α can be predicted from a pore scale colloid dynamics simulation model using the Stochastic Rotation Dynamics (SRD) technique. It turns out that the values for α obtained in the literature (Wang, 2001) and our own ECLIPSE results are consistent with the predictions from the SRD simulation model. This may give an advantage over other asphaltene deposition models available in the literature.
机译:我们已在Eclipse中成功验证了Eclipse中的沥青内选项,使用文献中设置的实验数据。我们将结果与同一数据的先前深床过滤模拟模型进行比较。我们发现可以通过使用表面沉积参数α来再现实验数据。这提供了Eclipse中沥青中选择的重要简化。此外,可以使用随机旋转动力学(SRD)技术从孔隙率胶体动力学模拟模型预测α的值。事实证明,文献中获得的α的值(Wang,2001)和我们自己的日食结果与来自SRD仿真模型的预测一致。这可能具有优于文献中可用的其他沥青质沉积模型的优势。

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