基于电渗耦合理论和毛细束模型的水相相对渗透率预测

Xinmin Ge, Yiren Fan, Donghui Xing, Jingying Chen, Yunhai Cong, Lailei Liu
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引用次数: 10

摘要

提出了一种基于电渗流耦合理论和毛细束孔隙结构的解析水相对模型。模型表明,水的相对渗透率受静态参数和动态参数两种参数的影响。引入修正的Kozeny-Carman方程和Archie公式推导模型,提高了孔隙结构表征能力。为了优化模型,还讨论了油覆盖毛细壁和油占据毛细中心的两种驱替状态。与现有经验公式中相对渗透率与毛管压力和分形维数密切相关不同,我们只引入含水饱和度和饱和度指数作为输入参数,使模型更易于使用。通过岩石物理实验和非定常相对渗透率实验(油驱水)对两种模型进行了验证。拟合结果表明,在本文提出的驱油实验中,油包覆毛管壁的驱油状态适合预测水的相对渗透率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Predicting the Relative Permeability of Water Phase Based on Theory ofCoupled Electricity-Seepage and Capillary Bundle Model
An analytical water relative model based on the theory of coupled electricity-seepage and capillary bundle pore structure is described. The model shows that the relative permeability of water is affected by two kinds of parameters, which are depicted as static parameters and dynamic parameters. Revised Kozeny-Carman equation and Archie formulas are introduced to deduce the model, which enhance the characterization ability of pore structure. Two displacing states, where we summarized that oil coats capillary walls and oil occupies capillary centers are also discussed for optimization of the model. In contrast to existing empirical formulas where relative permeability is strongly related to capillary pres- sure and fractal dimension, we introduce only water saturation and saturation index as input parameters, which make the model simpler to use. Petrophysics and unsteady relative permeability experiments (oil displacing water) are carried out to testify the two models. The fitting results show that for oil displacing experiments presented in this paper, the displacing state where oil coats capillary walls is suitable to predict the relative permeability of water.
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