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...
Gespeichert in:
Veröffentlicht in: | International journal of heat and mass transfer 2020-05, Vol.152, p.119568, Article 119568 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | |
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 |
doi_str_mv | 10.1016/j.ijheatmasstransfer.2020.119568 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2441576493</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0017931019355711</els_id><sourcerecordid>2441576493</sourcerecordid><originalsourceid>FETCH-LOGICAL-c370t-f2444358d7b8e06200ce14058820ef489d5328c09834c8dc1ca583fd1b79f273</originalsourceid><addsrcrecordid>eNqNkM1OwzAQhC0EEqXwDpa4cEmxEyexb1QVv6rEpXfLtdetozQOtkvVtydtuHHhtJqd0bfaQeiBkhkltHpsZq7Zgko7FWMKqosWwiwn-WBTUVb8Ak0or0WWUy4u0YQQWmeioOQa3cTYnCRh1QRt57iDA05b8OGIrQ945w20rtvgM7X3IWHVGWyg99El5zvsLY6-dQb3KiSnW4jYDVvXnoMbFfEB2jaeVe_6Ew3iLbqyqo1w9zunaPXyvFq8ZcvP1_fFfJnpoiYpszljrCi5qdccSJUTooEyUnKeE7CMC1MWOddE8IJpbjTVquSFNXRdC5vXxRTdj9g--K89xCQbvw_dcFEOZFrWFRPFkHoaUzr4GANY2Qe3U-EoKZGnemUj_9YrT_XKsd4B8TEiYHjm2w1u1A46DcYF0Eka7_4P-wHFDZBp</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2441576493</pqid></control><display><type>article</type><title>A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines</title><source>Elsevier ScienceDirect Journals</source><creator>Massah, Mohammad ; Khamehchi, Ehsan ; Mousavi-Dehghani, Seyyed Ali ; Dabir, Bahram ; Tahan, Hamid Naderan</creator><creatorcontrib>Massah, Mohammad ; Khamehchi, Ehsan ; Mousavi-Dehghani, Seyyed Ali ; Dabir, Bahram ; Tahan, Hamid Naderan</creatorcontrib><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 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]</description><identifier>ISSN: 0017-9310</identifier><identifier>EISSN: 1879-2189</identifier><identifier>DOI: 10.1016/j.ijheatmasstransfer.2020.119568</identifier><language>eng</language><publisher>Oxford: Elsevier Ltd</publisher><subject>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</subject><ispartof>International journal of heat and mass transfer, 2020-05, Vol.152, p.119568, Article 119568</ispartof><rights>2020 Elsevier Ltd</rights><rights>Copyright Elsevier BV May 2020</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-f2444358d7b8e06200ce14058820ef489d5328c09834c8dc1ca583fd1b79f273</citedby><cites>FETCH-LOGICAL-c370t-f2444358d7b8e06200ce14058820ef489d5328c09834c8dc1ca583fd1b79f273</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S0017931019355711$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Massah, Mohammad</creatorcontrib><creatorcontrib>Khamehchi, Ehsan</creatorcontrib><creatorcontrib>Mousavi-Dehghani, Seyyed Ali</creatorcontrib><creatorcontrib>Dabir, Bahram</creatorcontrib><creatorcontrib>Tahan, Hamid Naderan</creatorcontrib><title>A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines</title><title>International journal of heat and mass transfer</title><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 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]</description><subject>Accuracy</subject><subject>Advection-diffusion equation</subject><subject>Aerodynamics</subject><subject>Air flow</subject><subject>Asphaltene deposition</subject><subject>Asphaltenes</subject><subject>Capillary flow</subject><subject>Capillary tubes</subject><subject>CFD model</subject><subject>Computational fluid dynamics</subject><subject>Economic impact</subject><subject>Flocculation</subject><subject>Fluid flow</subject><subject>Gas pipelines</subject><subject>Gas wells</subject><subject>Gravitational settling</subject><subject>Hydrates</subject><subject>Laminar flow</subject><subject>Mathematical models</subject><subject>Natural gas</subject><subject>Oil wells</subject><subject>Parameters</subject><subject>Particle size</subject><subject>Particle size distribution</subject><subject>Pipelines</subject><subject>Settling</subject><subject>Solid phases</subject><subject>Solid solutions</subject><subject>Surface roughness</subject><subject>Thermophoresis</subject><subject>Turbulent diffusion</subject><issn>0017-9310</issn><issn>1879-2189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqNkM1OwzAQhC0EEqXwDpa4cEmxEyexb1QVv6rEpXfLtdetozQOtkvVtydtuHHhtJqd0bfaQeiBkhkltHpsZq7Zgko7FWMKqosWwiwn-WBTUVb8Ak0or0WWUy4u0YQQWmeioOQa3cTYnCRh1QRt57iDA05b8OGIrQ945w20rtvgM7X3IWHVGWyg99El5zvsLY6-dQb3KiSnW4jYDVvXnoMbFfEB2jaeVe_6Ew3iLbqyqo1w9zunaPXyvFq8ZcvP1_fFfJnpoiYpszljrCi5qdccSJUTooEyUnKeE7CMC1MWOddE8IJpbjTVquSFNXRdC5vXxRTdj9g--K89xCQbvw_dcFEOZFrWFRPFkHoaUzr4GANY2Qe3U-EoKZGnemUj_9YrT_XKsd4B8TEiYHjm2w1u1A46DcYF0Eka7_4P-wHFDZBp</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Massah, Mohammad</creator><creator>Khamehchi, Ehsan</creator><creator>Mousavi-Dehghani, Seyyed Ali</creator><creator>Dabir, Bahram</creator><creator>Tahan, Hamid Naderan</creator><general>Elsevier Ltd</general><general>Elsevier BV</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>202005</creationdate><title>A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines</title><author>Massah, Mohammad ; Khamehchi, Ehsan ; Mousavi-Dehghani, Seyyed Ali ; Dabir, Bahram ; Tahan, Hamid Naderan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-f2444358d7b8e06200ce14058820ef489d5328c09834c8dc1ca583fd1b79f273</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Accuracy</topic><topic>Advection-diffusion equation</topic><topic>Aerodynamics</topic><topic>Air flow</topic><topic>Asphaltene deposition</topic><topic>Asphaltenes</topic><topic>Capillary flow</topic><topic>Capillary tubes</topic><topic>CFD model</topic><topic>Computational fluid dynamics</topic><topic>Economic impact</topic><topic>Flocculation</topic><topic>Fluid flow</topic><topic>Gas pipelines</topic><topic>Gas wells</topic><topic>Gravitational settling</topic><topic>Hydrates</topic><topic>Laminar flow</topic><topic>Mathematical models</topic><topic>Natural gas</topic><topic>Oil wells</topic><topic>Parameters</topic><topic>Particle size</topic><topic>Particle size distribution</topic><topic>Pipelines</topic><topic>Settling</topic><topic>Solid phases</topic><topic>Solid solutions</topic><topic>Surface roughness</topic><topic>Thermophoresis</topic><topic>Turbulent diffusion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Massah, Mohammad</creatorcontrib><creatorcontrib>Khamehchi, Ehsan</creatorcontrib><creatorcontrib>Mousavi-Dehghani, Seyyed Ali</creatorcontrib><creatorcontrib>Dabir, Bahram</creatorcontrib><creatorcontrib>Tahan, Hamid Naderan</creatorcontrib><collection>CrossRef</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>International journal of heat and mass transfer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Massah, Mohammad</au><au>Khamehchi, Ehsan</au><au>Mousavi-Dehghani, Seyyed Ali</au><au>Dabir, Bahram</au><au>Tahan, Hamid Naderan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A new theory for modeling transport and deposition of solid particles in oil and gas wells and pipelines</atitle><jtitle>International journal of heat and mass transfer</jtitle><date>2020-05</date><risdate>2020</risdate><volume>152</volume><spage>119568</spage><pages>119568-</pages><artnum>119568</artnum><issn>0017-9310</issn><eissn>1879-2189</eissn><abstract>•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 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> |
fulltext | fulltext |
identifier | ISSN: 0017-9310 |
ispartof | International journal of heat and mass transfer, 2020-05, Vol.152, p.119568, Article 119568 |
issn | 0017-9310 1879-2189 |
language | eng |
recordid | cdi_proquest_journals_2441576493 |
source | Elsevier ScienceDirect Journals |
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 |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T04%3A31%3A35IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20new%20theory%20for%20modeling%20transport%20and%20deposition%20of%20solid%20particles%20in%20oil%20and%20gas%20wells%20and%20pipelines&rft.jtitle=International%20journal%20of%20heat%20and%20mass%20transfer&rft.au=Massah,%20Mohammad&rft.date=2020-05&rft.volume=152&rft.spage=119568&rft.pages=119568-&rft.artnum=119568&rft.issn=0017-9310&rft.eissn=1879-2189&rft_id=info:doi/10.1016/j.ijheatmasstransfer.2020.119568&rft_dat=%3Cproquest_cross%3E2441576493%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2441576493&rft_id=info:pmid/&rft_els_id=S0017931019355711&rfr_iscdi=true |