A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines

•For the first time, prediction of asphaltene deposition profiles precisely.•Asphaltene deposition modeling without the use of empirical parameters.•Proving the dominance of gravitational settling in a laminar- isothermal flow.•Finding size distribution and flocculation history from deposition profi...

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Veröffentlicht in:International journal of heat and mass transfer 2020-05, Vol.152, p.119568, Article 119568
Hauptverfasser: Massah, Mohammad, Khamehchi, Ehsan, Mousavi-Dehghani, Seyyed Ali, Dabir, Bahram, Tahan, Hamid Naderan
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container_start_page 119568
container_title International journal of heat and mass transfer
container_volume 152
creator Massah, Mohammad
Khamehchi, Ehsan
Mousavi-Dehghani, Seyyed Ali
Dabir, Bahram
Tahan, Hamid Naderan
description •For the first time, prediction of asphaltene deposition profiles precisely.•Asphaltene deposition modeling without the use of empirical parameters.•Proving the dominance of gravitational settling in a laminar- isothermal flow.•Finding size distribution and flocculation history from deposition profile.•Accurately validated model for both air-particle and oil-asphaltene deposition. The deposition of asphaltene, wax, hydrates, scale, and even transfer of sands in oil wells and pipelines are serious problems that cause production interruptions and lead to substantial economic losses. The present study opens a new window for solving this unresolved problem. Accordingly, an improved Eulerian deposition model that incorporates various mechanisms of particle transport and deposition (e.g., molecular and turbulent diffusion, turbophoresis, thermophoresis, and surface roughness) was extended to predict solid deposition in oil wells. In this paper, to make it possible to predict deposition in inclined and horizontal pipes, the model was modified to include the gravitational settling effect. Moreover, using this model, a new method was proposed to determine the particle size distribution and particle flocculation function. It was first validated by predicting particle deposition in turbulent airflow and showed very good agreement with a wide range of published observation data. Then the model was used for predicting the thickness profile of asphaltene deposition in two laminar flow capillary tube experiments reported in the literature. This model, for the first time, has predicted asphaltene deposition profiles with high accuracy, especially without the use of empirical parameters. The predictions of this model are as accurate as particle tracking methods but at much lower computational costs. This study demonstrates that under certain conditions in laminar flow, deposition is dominated by gravitational settling, while it has been hypothesized previously that asphaltene deposition predominantly occurs by diffusion. The results reveal that particle size distribution plays a vital role in asphaltene deposition modeling. The findings of this study can help for a better understanding of the effective mechanisms of asphaltene deposition. This is the most versatile theory that can be adapted with various flow conditions. Since this approach does not depend on the solid type, it can be similarly applied to predict the behavior of other solid-fluid flow assurances in oil and
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The deposition of asphaltene, wax, hydrates, scale, and even transfer of sands in oil wells and pipelines are serious problems that cause production interruptions and lead to substantial economic losses. The present study opens a new window for solving this unresolved problem. Accordingly, an improved Eulerian deposition model that incorporates various mechanisms of particle transport and deposition (e.g., molecular and turbulent diffusion, turbophoresis, thermophoresis, and surface roughness) was extended to predict solid deposition in oil wells. In this paper, to make it possible to predict deposition in inclined and horizontal pipes, the model was modified to include the gravitational settling effect. Moreover, using this model, a new method was proposed to determine the particle size distribution and particle flocculation function. It was first validated by predicting particle deposition in turbulent airflow and showed very good agreement with a wide range of published observation data. Then the model was used for predicting the thickness profile of asphaltene deposition in two laminar flow capillary tube experiments reported in the literature. This model, for the first time, has predicted asphaltene deposition profiles with high accuracy, especially without the use of empirical parameters. The predictions of this model are as accurate as particle tracking methods but at much lower computational costs. This study demonstrates that under certain conditions in laminar flow, deposition is dominated by gravitational settling, while it has been hypothesized previously that asphaltene deposition predominantly occurs by diffusion. The results reveal that particle size distribution plays a vital role in asphaltene deposition modeling. The findings of this study can help for a better understanding of the effective mechanisms of asphaltene deposition. This is the most versatile theory that can be adapted with various flow conditions. Since this approach does not depend on the solid type, it can be similarly applied to predict the behavior of other solid-fluid flow assurances in oil and gas facilities. Modeling the solid solution and multi-solid phase behavior are other capabilities of the developed methodology. The high accuracy of this approach and using minimum adjustable parameters offer many avenues for future development to evaluate particle deposition in real field applications. 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The deposition of asphaltene, wax, hydrates, scale, and even transfer of sands in oil wells and pipelines are serious problems that cause production interruptions and lead to substantial economic losses. The present study opens a new window for solving this unresolved problem. Accordingly, an improved Eulerian deposition model that incorporates various mechanisms of particle transport and deposition (e.g., molecular and turbulent diffusion, turbophoresis, thermophoresis, and surface roughness) was extended to predict solid deposition in oil wells. In this paper, to make it possible to predict deposition in inclined and horizontal pipes, the model was modified to include the gravitational settling effect. Moreover, using this model, a new method was proposed to determine the particle size distribution and particle flocculation function. It was first validated by predicting particle deposition in turbulent airflow and showed very good agreement with a wide range of published observation data. Then the model was used for predicting the thickness profile of asphaltene deposition in two laminar flow capillary tube experiments reported in the literature. This model, for the first time, has predicted asphaltene deposition profiles with high accuracy, especially without the use of empirical parameters. The predictions of this model are as accurate as particle tracking methods but at much lower computational costs. This study demonstrates that under certain conditions in laminar flow, deposition is dominated by gravitational settling, while it has been hypothesized previously that asphaltene deposition predominantly occurs by diffusion. The results reveal that particle size distribution plays a vital role in asphaltene deposition modeling. The findings of this study can help for a better understanding of the effective mechanisms of asphaltene deposition. This is the most versatile theory that can be adapted with various flow conditions. Since this approach does not depend on the solid type, it can be similarly applied to predict the behavior of other solid-fluid flow assurances in oil and gas facilities. Modeling the solid solution and multi-solid phase behavior are other capabilities of the developed methodology. The high accuracy of this approach and using minimum adjustable parameters offer many avenues for future development to evaluate particle deposition in real field applications. 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It was first validated by predicting particle deposition in turbulent airflow and showed very good agreement with a wide range of published observation data. Then the model was used for predicting the thickness profile of asphaltene deposition in two laminar flow capillary tube experiments reported in the literature. This model, for the first time, has predicted asphaltene deposition profiles with high accuracy, especially without the use of empirical parameters. The predictions of this model are as accurate as particle tracking methods but at much lower computational costs. This study demonstrates that under certain conditions in laminar flow, deposition is dominated by gravitational settling, while it has been hypothesized previously that asphaltene deposition predominantly occurs by diffusion. The results reveal that particle size distribution plays a vital role in asphaltene deposition modeling. The findings of this study can help for a better understanding of the effective mechanisms of asphaltene deposition. This is the most versatile theory that can be adapted with various flow conditions. Since this approach does not depend on the solid type, it can be similarly applied to predict the behavior of other solid-fluid flow assurances in oil and gas facilities. Modeling the solid solution and multi-solid phase behavior are other capabilities of the developed methodology. The high accuracy of this approach and using minimum adjustable parameters offer many avenues for future development to evaluate particle deposition in real field applications. [Display omitted]</abstract><cop>Oxford</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.ijheatmasstransfer.2020.119568</doi></addata></record>
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subjects Accuracy
Advection-diffusion equation
Aerodynamics
Air flow
Asphaltene deposition
Asphaltenes
Capillary flow
Capillary tubes
CFD model
Computational fluid dynamics
Economic impact
Flocculation
Fluid flow
Gas pipelines
Gas wells
Gravitational settling
Hydrates
Laminar flow
Mathematical models
Natural gas
Oil wells
Parameters
Particle size
Particle size distribution
Pipelines
Settling
Solid phases
Solid solutions
Surface roughness
Thermophoresis
Turbulent diffusion
title A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines
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