深圳大学学报理工版

为定量表征多孔介质中凝析油临界含油饱和度,建立临界流动条件下气-液-固界面发生形变时对应的凝析油膜及凝析油段塞的力学模型.基于随机分形微观孔隙网络模型,动态模拟凝析油微观分布特征,模拟多孔介质中各因素对凝析油临界含油饱和度的影响.研究表明,采用建立的新型微观网络动态模拟方法可以较准确地定量计算凝析油临界含油饱和度,模拟表征凝析油的微观分布规律.凝析油临界含油饱和度随着平均孔隙半径的增大而减小,随着分形维数的增大而增大; 凝析油气界面张力对临界含油饱和度的影响趋势存在一个临界值.当界面张力小于该临界值时,随着界面张力增加凝析油临界含油饱和度大幅增加; 当界面张力大于该值后,临界含油饱和度值增幅减低; 毛管准数越大凝析油临界含油饱和度越小.凝析油临界含油饱和度值受静态和动态参数影响,在凝析气藏开发过程中,通过控制合理生产压差降低凝析油临界含油饱和度,对提高凝析气井产能是一种有效途径.

Based on the established random fractal pore network model and mechanics model of condensate film and slug at the deformation status in gas-liquid-solid boundary, the microscopic distribution feature of condensate oil was simulated to determine condensate critical flow saturation in porous medium. The result shows that it is an efficient method to characterize condensate oil micro distribution and calculate condensate critical flow saturation. The critical condensate saturation decreases with an increase in the average pore radius, but increases with an increase in fractal dimension. There exists a critical gas/oil interfacial tension. At an interfacial tension below the critical value, the critical condensate saturation increases drastically with an increase interfacial tension, while it keeps almost unchanged at an interfacial tension above this critical value. A higher capillary number results in a smaller critical condensate saturation. It is indicated that static and dynamic parameters have effects on condensate critical flow saturation. Therefore, it is an effectual approach to properly control production pressure drop to reduce negative impact of gas well production capacity in the producing process.

引言
1 凝析油的力学模型
2 三维网络动态模拟计算方法
3 凝析油临界含油饱和度模拟计算实
4 凝析油临界含油饱和度影响因素分析
5 结论

图1 孔喉微观结构单元体内凝析油受力示意图<br/>Fig.1 Schematic illustration of condensate oil force analysis in micro-pore cell

图1 孔喉微观结构单元体内凝析油受力示意图
Fig.1 Schematic illustration of condensate oil force analysis in micro-pore cell

图2 孔喉中凝析油、气、原生水微观分布<br/>Fig.2 Micro distribution of condensate oil/gas/connate water in pore throat system

图2 孔喉中凝析油、气、原生水微观分布
Fig.2 Micro distribution of condensate oil/gas/connate water in pore throat system

图3 桥口凝析气藏Q51-8岩样三维微观网络模型<br/>Fig.3 3D microscopic network modes of rock sample in Qikou condensate reservoir

图3 桥口凝析气藏Q51-8岩样三维微观网络模型
Fig.3 3D microscopic network modes of rock sample in Qikou condensate reservoir

图4 微观孔隙网络模型中凝析油聚集及微观分布示意图<br/>Fig.4 Schematic illustration of condensate oil saturation distribution in micro-pore network model

图4 微观孔隙网络模型中凝析油聚集及微观分布示意图
Fig.4 Schematic illustration of condensate oil saturation distribution in micro-pore network model

图5 凝析油体积概率密度分布<br/>Fig.5 Probability density distribution of gas condensate volume

图5 凝析油体积概率密度分布
Fig.5 Probability density distribution of gas condensate volume

图6 微观孔隙结构对凝析油临界含油饱和度的影响<br/>Fig.6 Microscopic pore structure on the influence of gas condensate critical flowing saturation

图6 微观孔隙结构对凝析油临界含油饱和度的影响
Fig.6 Microscopic pore structure on the influence of gas condensate critical flowing saturation

图7 界面张力对凝析油临界含油饱和度的影响<br/>Fig.7 Interface tension on the influence of gas condensate critical flowing saturation

图7 界面张力对凝析油临界含油饱和度的影响
Fig.7 Interface tension on the influence of gas condensate critical flowing saturation

图8 凝析油临界含油饱和度与毛管准数的关系<br/>Fig.8 Relationship between condensate critical flowing saturation and capillary number

图8 凝析油临界含油饱和度与毛管准数的关系
Fig.8 Relationship between condensate critical flowing saturation and capillary number

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引言

1 凝析油的力学模型

2 三维网络动态模拟计算方法

3 凝析油临界含油饱和度模拟计算实

4 凝析油临界含油饱和度影响因素分析

5 结论

期刊信息

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