Research Papers: Petroleum Transport/Pipelines/Multiphase Flow

Flow and Deposition Characteristics Following Chokes for Pressurized CO2 Pipelines

[+] Author and Article Information
Lin Teng

Shandong Provincial Key Laboratory of Oil &
Gas Storage and Transportation Security,
China University of Petroleum (East China),
Qingdao 266580, China
e-mail: 1518755576@qq.com

Yuxing Li

Shandong Provincial Key Laboratory of Oil &
Gas Storage and Transportation Security,
China University of Petroleum (East China),
Qingdao 266580, China
e-mail: cuph_co2trans@sina.com

Hui Han

Shandong Provincial Key Laboratory of Oil &
Gas Storage and Transportation Security,
China University of Petroleum (East China),
Qingdao 266580, China
e-mail: husthan@163.com

Pengfei Zhao

SINOPEC Star Petroleum Co., Ltd.,
Beijing 100000, China
e-mail: 1205751642@qq.com

Datong Zhang

Shandong Provincial Key Laboratory of Oil &
Gas Storage and Transportation Security,
China University of Petroleum (East China),
Qingdao 266580, China
e-mail: 740179111@qq.com

1Corresponding author.

Contributed by the Petroleum Division of ASME for publication in the JOURNAL OF ENERGY RESOURCES TECHNOLOGY. Manuscript received July 12, 2016; final manuscript received January 2, 2018; published online March 15, 2018. Assoc. Editor: Mohamed A. Habib.

J. Energy Resour. Technol 140(7), 073001 (Mar 15, 2018) (9 pages) Paper No: JERT-16-1291; doi: 10.1115/1.4039019 History: Received July 12, 2016; Revised January 02, 2018

The relieving system using the choke valve is applied to control the pressure in CO2 pipeline. However, the temperature of fluid would drop rapidly because of Joule–Thomson cooling (JTC), which may cause solid CO2 form and block the pipe. A three-dimensional (3D) computational fluid dynamic (CFD) model considering the phase transition and turbulence was developed to predict the fluid-particle flow and deposition characteristics. The Lagrangian method, Reynold's stress transport model (RSM) for turbulence, and stochastic tracking model (STM) were used. The results show that the model predictions were in good agreement with the experimental data published. The effects of particle size, flow velocity, and pipeline diameter were analyzed. It was found that the increase of the flow velocity would cause the decrease of particle deposition ratio and there existed the critical particle size that causes the deposition ratio maximum. It also presents the four types of particle motions corresponding to the four deposition regions. Moreover, the sudden expansion region is the easiest to be blocked by the particles. In addition, the Stokes number had an effect on the deposition ratio and it was recommended for Stokes number to avoid 3–8 St.

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Fig. 1

Blow down facility at the Jackson Dome, operated by Denbury Onshore LLC (Plano, TX) [20]

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Fig. 2

Coupling between phases calculation flow chart

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Fig. 3

Schematic diagram of the particles behavior under the influence of turbulence

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Fig. 4

Meshes of computational domain

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Fig. 5

The relative error analysis between the simulations and experimental data

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Fig. 6

Dry ice deposition position in numerical simulation and experiment

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Fig. 7

Geometric structure of venting pipe

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Fig. 8

The effect of particle size on deposition ratio

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Fig. 9

The average particle size depositing at different regions

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Fig. 10

The effect of pipeline diameter on deposition ratio

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Fig. 11

The effect of Stokes number on deposition ratio

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Fig. 12

The trajectory of four types of the dry ice motion

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Fig. 13

The fluid-particle flow behavior for downstream pipeline



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