Hydrate agglomeration modeling and pipeline hydrate slurry flow behavior simulation

Guangchun Song; Yuxing Li; Wuchang Wang; Kai Jiang; Zhengzhuo Shi; Shupeng Yao

doi:10.1016/j.cjche.2018.04.004

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Hydrate agglomeration modeling and pipeline hydrate slurry flow behavior simulation

Fluid Dynamics and Transport Phenomena | Updated：2026-01-06

- Hydrate agglomeration modeling and pipeline hydrate slurry flow behavior simulation
- Chinese Journal of Chemical Engineering Vol. 27, Issue 1, Pages: 32-43(2019)
- Affiliations：
  
  Shandong Key Laboratory of Oil-Gas Storage and Transportation Safety, College of Pipeline and Civil Engineering, China University of Petroleum,Qingdao,China,266580
- Author bio：
- Funds：
- DOI：10.1016/j.cjche.2018.04.004
  CLC：
- Published：2019
- Accepted：
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Guangchun Song, Yuxing Li, Wuchang Wang, Kai Jiang, Zhengzhuo Shi, Shupeng Yao. Hydrate agglomeration modeling and pipeline hydrate slurry flow behavior simulation[J]. Chin.J.Chem.Eng., 2019, 27(1): 32-43.
DOI：

Guangchun Song, Yuxing Li, Wuchang Wang, Kai Jiang, Zhengzhuo Shi, Shupeng Yao. Hydrate agglomeration modeling and pipeline hydrate slurry flow behavior simulation[J]. Chin.J.Chem.Eng., 2019, 27(1): 32-43. DOI： 10.1016/j.cjche.2018.04.004.

摘要

Abstract

Dynamic modeling and numerical simulation of hydrate slurry flow behavior are of great importance to offshore hydrate management. For this purpose

a dynamic model of hydrate agglomeration was proposed in this paper. Based on population balance equation

the frame of the dynamic model was established first

which took both hydrate agglomeration and hydrate breakage into consideration. Then

the calculating methods of four key parameters involved in the dynamic model were given according to hydrate agglomeration dynamics. The four key parameters are collision frequency

agglomeration efficiency

breakage frequency and the size distribution of sub particles resulting from particle breakage. After the whole dynamic model was built

it was combined with several traditional solid-liquid flow models and then together solved by the CFD software FLUENT 14.5. Finally

using this method

the influences of flow rate and hydrate volume fraction on hydrate particle size distribution

hydrate volume concentration distribution and pipeline pressure drop were simulated and analyzed.

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