Modelling hydrate deposition and sloughing in gas-dominant pipelines

Lorenzo, Mauricio Di; Aman, Zachary M.; Kozielski, Karen; Norris, Bruce; Johns, Michael L.; May, Eric F.

doi:10.1016/j.jct.2017.08.038

Cited by 43 publications

(55 citation statements)

References 30 publications

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“…Notice that 12 , kk were used in eq (39) of part II 2 for the simplified growth kinetic model, repeated below by using the subcooling instead of driving force in means of fugacity, relation…”

Section: Simplified Agglomeration Model For Gas Hydrates In Oil Continuous Flowmentioning

confidence: 99%

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

Bassani

Kakitani

Herri

et al. 2020

Ind. Eng. Chem. Res.

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In the third part of this series, we introduce the mathematical model for the agglomeration of gas hydrate in oil continuous flow. The aim is to develop an expression for the agglomeration efficiency that considers the existence of a wet or a dry particle. If the particle is wet, then water is available at its outer surface, thus allowing the formation of a liquid bridge that holds the aggregate together.The criterion for a wet or dry particle was developed in part II of this series and comes from the competitions between water permeation through the porous hydrate particle, and water consumption caused by crystallization in the particle's outer surface. The new expression for the agglomeration efficiency is coupled with a population balance solved through the Method of Moments and considering simple expressions for the collision rate and the shear rate induced by the flow coming from Smoluchowski's and Kolmogorov's theory, respectively. When compared to experimental data, the model stays within the ±40% deviation range and shows capable of predicting smaller agglomerate size for higher subcooling and lower interfacial properties (use of surfactant additives).The influence of subcooling into changing the porous medium parameters (especially the porous medium interconnectivity) shows to be important into the determination of the time taken for the particle to dry out. The model is simplified for engineering purposes considering gases much more soluble in oil than in water (hydrocarbon gases) in oil-continuous flow, and a simple criterion is proposed to predict if the system behaves as dispersed (slurry) or if it agglomerates after the onset of hydrate formation.

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Section: Simplified Agglomeration Model For Gas Hydrates In Oil Continuous Flowmentioning

confidence: 99%

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

Bassani

Kakitani

Herri

et al. 2020

Ind. Eng. Chem. Res.

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“…Particles deposition in flow field is a complex procedure and is widely studied in recent years. Lorenzo et al presented newly model of hydrate deposition in gas pipelines and estimated the growth rate and effective shear strength of the hydrate deposit; Forsyth et al studied the solid particles deposition in turbine engine under high temperature and pressure, and their study indicated that deposition rates under thermophoretic are much higher than isothermal rates; Kharoua et al used the DPM model to study the deposition of black powder in pipe flow and predicted the particle behavior; Loyseau and Verdin studied the particle dispersion and deposition in a vertical pipe by using Lagrangian simulations, and the related deposition, impact velocity, and probability density function are investigated in their research; Filali et al used the CFD method to investigate the effect of flowing condition, particle diameter, and surface roughness on deposition of black powder in gas transmission pipelines. It is found in their study that the particle with diameter smaller than 1 μm is more likely to be transported to the downstream of pipe network; Yasushi and Tomio studied the effect of particle mass concentration on deposition numerically and indicated that transfer coefficient of particle deposition decreased with the increase of particle mass concentration; Jassim presented a new method describing the mechanism of the hydrate deposition and found that the particle size would affect the distance of the deposition under certain conditions.…”

Section: Introductionmentioning

confidence: 99%

Analysis of particle deposition in a new‐type rectifying plate system during shale gas extraction

Peng

Chen

Zheng³

et al. 2019

Energy Science & Engineering

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Much less attention has been focused on the particle deposition in rectifying plate though it is a common problem in shale gas pipe systems. The effects of particle parameter and flow field on the deposition and distribution of particle in a new‐type rectifying plate system are investigated. Both the computational fluid dynamics (CFD) method and the experiment method are used in order to analyze the particle deposition under various conditions. The accuracy of simulation model is verified with measurements in the experiment and from analyzing, and it is found that the Boltzmann equation can well describe the relationship between gas Reynolds number and particle deposition in the rectifying plate system. It is also found from investigation that the particle deposition is greatly affected by the particle parameter. Deposition rate rises with the increase of the particle diameter; however, it reduces gradually with the decrease of particle shape factor. Moreover, the particle mass concentration is an essential dimension that can give a prediction of where the particle may deposit.

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“…However, the formation of CO 2 hydrates becomes a major problem, affecting the safety of CO 2 pipeline transportation . The formation and deposition of hydrate shrinks the passageway of the airflow and reduces the transportation efficiency, and the huge volume of hydrate causes pipeline blockage and rupture accidents . Moreover, compared with natural gas, which is mainly composed of methane, CO 2 can form solid hydrates at relatively lower pressures and higher temperatures.…”

Section: Introductionmentioning

confidence: 99%

“…[14][15][16][17] The formation and deposition of hydrate shrinks the passageway of the airflow and reduces the transportation efficiency, and the huge volume of hydrate causes pipeline blockage and rupture accidents. [18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] Moreover, compared with natural gas, which is mainly composed of methane, CO 2 can form solid hydrates at relatively lower pressures and higher temperatures. It seems that the hydrate risk in CO 2 pipelines is significantly more serious than that in natural gas pipelines.…”

Section: Introductionmentioning

confidence: 99%

A numerical study on the non‐isothermal flow characteristics and hydrate risk of CO₂ in buried transmission pipelines under the gas‐phase transportation mode

Liu

Sun

et al. 2019

Greenhouse Gases

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With the development and progress of carbon dioxide (CO2) capture and storage technology, the study of the flow assurance of CO2 in transmission pipelines needs to be further deepened. In this study, aiming at the gas‐phase transportation mode of CO2, first, a new prediction model of temperature, pressure as well as hydrate formation risk in buried CO2 transmission pipelines is established. Second, the model solving methods of differential discretization and piecewise iteration are introduced in detail. Third, model validation and sensitivity analysis of typical transmission parameters are performed. The results show that: (a) there is good agreement between the model prediction results and software simulation results. (b) The subcooling and the length of the hydrate formation region increase with the increase in the transmission rate. Appropriate increase in the CO2 transmission rate can reduce the risk of hydrate formation in CO2 transmission pipelines. (c) The subcooling and the length of the hydrate formation region decrease as the transmission temperature increases. In order to prevent hydrate risk in the CO2 transmission process, low transmission temperatures should be avoided. (d) The subcooling and the length of the hydrate‐formation area increase first and then decrease as the transmission pressure increases. Appropriate increase in CO2 transmission pressure is conducive to avoiding hydrate formation risk. This study provides basic theoretical guidance for optimizing transmission parameters and risk assessment of hydrate formation in CO2 transmission pipelines. © 2019 Society of Chemical Industry and John Wiley & Sons, Ltd.

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Modelling hydrate deposition and sloughing in gas-dominant pipelines

Cited by 43 publications

References 30 publications

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

Analysis of particle deposition in a new‐type rectifying plate system during shale gas extraction

A numerical study on the non‐isothermal flow characteristics and hydrate risk of CO₂ in buried transmission pipelines under the gas‐phase transportation mode

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Modelling hydrate deposition and sloughing in gas-dominant pipelines

Cited by 43 publications

References 30 publications

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

A Multiscale Approach for Gas Hydrates Considering Structure, Agglomeration, and Transportability under Multiphase Flow Conditions: III. Agglomeration Model

Analysis of particle deposition in a new‐type rectifying plate system during shale gas extraction

A numerical study on the non‐isothermal flow characteristics and hydrate risk of CO2 in buried transmission pipelines under the gas‐phase transportation mode

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A numerical study on the non‐isothermal flow characteristics and hydrate risk of CO₂ in buried transmission pipelines under the gas‐phase transportation mode