Insights on Foam Transport from a Texture-Implicit Local-Equilibrium Model with an Improved Parameter Estimation Algorithm

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• 作者：Yongchao Zeng ; Aarthi Muthuswamy ; Kun Ma ; Le Wang ; Rouhi Farajzadeh ; Maura Puerto ; Sebastien Vincent-Bonnieu ; Ali Akbar Eftekhari ; Ying Wang ; Chang Da ; Jeffrey C. Joyce ; Sibani L. Biswal ; George J. Hirasaki
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2016
• 出版时间：July 20, 2016
• 年：2016
• 卷：55
• 期：28
• 页码：7819-7829
• 全文大小：576K
• 年卷期：0
• ISSN：1520-5045

文摘

We present an insightful discussion on the implications of foam transport inside porous media based on an improved algorithm for the estimation of model parameters. A widely used texture-implicit local-equilibrium foam model, STARS, is used to describe the reduction of gas mobility in the state of foam with respect to free gas. Both the dry-out effect and shear-dependent rheology are considered in foam simulations. We estimate the limiting capillary pressure P_c^* from fmdry values in the STARS model to characterize foam film stability in a dynamic flowing system. We find that P_c^* is a good indicator of foam strength in porous media and varies with different gas types. We also calculate P_c^* for different foaming surfactants and find that foam stability is correlated with the Gibbs surface excess concentration. We compare our improved parameter estimation algorithm with others reported in literature. The robustness of the algorithm is validated for various foam systems.