考虑多孔矩阵变换的吸附过程数学建模

M. Kravchenko, M. I. Ivlev, K.D. Pantelei
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引用次数: 0

摘要

本文讨论了考虑多孔基质储层性质和流体性质变化的聚合物驱过程水动力学建模结果。应用多相过滤数学模型时,需要考虑特定类型聚合物驱油数据的系统封闭性。提出了一种考虑聚合物吸附过程中孔隙尺寸分布曲线实时变化的驱替过程建模处理岩心样品实验结果的方法。基于流体动力学计算,我们估计了吸附过程的速率与聚合物溶液的浓度、表面活性剂通过样品的泵送速率、处理时间以及所使用样品的特定成分和结构形成的聚合物膜的电流厚度的依赖关系。将模拟结果与阿拉伯胶聚合物驱油动态实验数据进行对比,结果表明,计算结果与实验数据具有较好的相关性,证实了在特定油田使用不同聚合物时,采用加氢渗流方法预测采收率系数的可能性。
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Mathematical Modeling of Sorption Processes Considering the Transformation of the Porous Matrix
The paper addresses the results of the polymer flooding process hydrodynamic modeling considering changes in the reservoir properties of the porous matrix and the fluids properties. Application of a multiphase filtration mathematical model requires the system closure considering the data of oil displacement with a specific type of polymer. A method for processing the results of the experiment on core samples with displacement process modeling, considering the real-time transformation of the pore size distribution curve during polymer adsorption, is suggested. Based on the hydrodynamic calculations, we estimate the dependence of the rate of the adsorption process on the concentration of the polymer solution, the rate of pumping of the surfactant through the sample, the processing time, and the current thickness of the polymer film formed for the specific compositions and structure of the sample used. A comparison of the simulation results with the data of dynamic experiments on oil displacement with Gum Arabic polymer solution showed a good correlation of the calculated and experimental data, which confirms the possibility of using a hydropercolation approach to predict the oil recovery coefficient when using various polymer substances at specific fields.
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来源期刊
CiteScore
0.60
自引率
0.00%
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0
审稿时长
17 weeks
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