基于群体平衡理论的水合物聚集动力学模型

doi:10.16085/j.issn.1000-6613.2017-0483

摘要/Abstract

摘要： 水合物颗粒间的聚集是导致油气输送管道堵塞的重要原因，建立聚集模型能更好地进行水合物聚集的防治。首先，假定管道中水合物颗粒粒径连续分布并忽略对流扩散的影响，建立了以群体平衡模型为基本框架的水合物聚集动力学模型。重点考虑水合物的聚集和破碎，该模型的核心主要包括聚集核和破碎核两部分。其中，聚集核包括水合物颗粒间的碰撞频率和碰撞后的聚集效率，破碎核包括水合物颗粒的破碎频率和破碎后子颗粒的粒径分布函数。接着，以前人研究为基础并结合水合物颗粒的自身特性，对模型聚集核和破碎核的计算方法进行了选取和改进。最后，采用计算流体力学方法对模型进行了求解并将求解结果与相关实验数据进行了对比分析。该模型可为管道流动安全保障提供技术支持。

关键词: 水合物, 群体平衡, 碰撞频率, 聚集效率, 破碎频率, 粒径分布

Abstract: The agglomeration between hydrate particles is an important reason which could lead to pipeline hydrate plugging. In order to manage hydrate risks better, a model describing the process of hydrate agglomeration is needed. First, a dynamic model of hydrate agglomeration based on the population balance theory was built, which ignored the influence of convection and diffusion and assumed that hydrate particle size distribution in the pipeline was continuous. Focusing on hydrate agglomeration and breakage, the core of this dynamic model mainly included agglomeration kernel and breakage kernel. For agglomeration kernel, it referred to collision frequency and agglomeration efficiency. For breakage kernel, it involved to breakage frequency and particle size distribution. Then, based on previous researches and combining the characteristics of hydrate particles, the calculation methods of the agglomeration kernel and breakage kernel were selected and modified. Finally, a computational fluid mechanics way was used to solve the dynamic model and the results were compared with the relevant experimental data. This dynamic model can provide technical support for the pipeline flow assurance.

Key words: hydrate, population balance, collision frequency, agglomeration efficiency, breakage frequency, particle size distribution

中图分类号:

TE88

宋光春, 李玉星, 王武昌, 姜凯, 施政灼, 姚淑鹏. 基于群体平衡理论的水合物聚集动力学模型[J]. 化工进展, 2018, 37(01): 80-87.

SONG Guangchun, LI Yuxing, WANG Wuchang, JIANG Kai, SHI Zhengzhuo, YAO Shupeng. A research on the dynamic model of hydrate agglomeration based on population balance theory[J]. Chemical Industry and Engineering Progress, 2018, 37(01): 80-87.

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