Modelling of dynamic mass transfer in a vapour extraction heavy oil recovery process
ABSTRACT Viscosity reduction through solvent dissolution into heavy oil is one of the most important recovery mechanisms of a vapour extraction (VAPEX) process. Existing analytical models can neither accurately describe the mass transfer between solvent vapour and heavy oil nor predict the solvent c...
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Veröffentlicht in: | Canadian journal of chemical engineering 2017-06, Vol.95 (6), p.1171-1180 |
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creator | Wang, Qiong Jia, Xinfeng Chen, Zhangxin |
description | ABSTRACT
Viscosity reduction through solvent dissolution into heavy oil is one of the most important recovery mechanisms of a vapour extraction (VAPEX) process. Existing analytical models can neither accurately describe the mass transfer between solvent vapour and heavy oil nor predict the solvent chamber evolution. Simulation models are confounded by numerical dispersion and have difficulty in accurately characterizing fluid properties in VAPEX. This study first develops a mass transfer model to describe a dynamic heavy oil‐solvent mixing process. This model is then incorporated into a VAPEX model to estimate solvent chamber development and an oil production rate. Diffusivity is determined through history matching theoretically calculated and experimentally measured cumulative oil production data. It is found that both constant and variable diffusivities can achieve an excellent match in cumulative oil production data. However, their respective characterization of the fluid properties in the VAPEX transition zone is very different. This study also proposes a method to convert constant diffusivity into its equivalent variable diffusivity for VAPEX by using some regressed correlations. Moreover, the back‐calculated effective diffusivity is found to be about 10–30 times of the corresponding molecular diffusivity measured in the laboratory. |
doi_str_mv | 10.1002/cjce.22743 |
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Viscosity reduction through solvent dissolution into heavy oil is one of the most important recovery mechanisms of a vapour extraction (VAPEX) process. Existing analytical models can neither accurately describe the mass transfer between solvent vapour and heavy oil nor predict the solvent chamber evolution. Simulation models are confounded by numerical dispersion and have difficulty in accurately characterizing fluid properties in VAPEX. This study first develops a mass transfer model to describe a dynamic heavy oil‐solvent mixing process. This model is then incorporated into a VAPEX model to estimate solvent chamber development and an oil production rate. Diffusivity is determined through history matching theoretically calculated and experimentally measured cumulative oil production data. It is found that both constant and variable diffusivities can achieve an excellent match in cumulative oil production data. However, their respective characterization of the fluid properties in the VAPEX transition zone is very different. This study also proposes a method to convert constant diffusivity into its equivalent variable diffusivity for VAPEX by using some regressed correlations. Moreover, the back‐calculated effective diffusivity is found to be about 10–30 times of the corresponding molecular diffusivity measured in the laboratory.</description><identifier>ISSN: 0008-4034</identifier><identifier>EISSN: 1939-019X</identifier><identifier>DOI: 10.1002/cjce.22743</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>Computer simulation ; constant and variable diffusivity ; Constants ; Diffusivity ; Dissolution ; dynamic mass transfer ; Dynamics ; Extraction ; Mass transfer ; Mathematical models ; Oil recovery ; Oil wells ; Petroleum production ; Regression analysis ; solvent chamber evolution ; Solvents ; Vapors ; Vapour ; vapour extraction</subject><ispartof>Canadian journal of chemical engineering, 2017-06, Vol.95 (6), p.1171-1180</ispartof><rights>2016 Canadian Society for Chemical Engineering</rights><rights>2017 Canadian Society for Chemical Engineering</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3713-5158f7730a89821b1dda68f8556523177554e051107769700e06009cc40370843</citedby><cites>FETCH-LOGICAL-c3713-5158f7730a89821b1dda68f8556523177554e051107769700e06009cc40370843</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcjce.22743$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcjce.22743$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,1417,27924,27925,45574,45575</link.rule.ids></links><search><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Jia, Xinfeng</creatorcontrib><creatorcontrib>Chen, Zhangxin</creatorcontrib><title>Modelling of dynamic mass transfer in a vapour extraction heavy oil recovery process</title><title>Canadian journal of chemical engineering</title><description>ABSTRACT
Viscosity reduction through solvent dissolution into heavy oil is one of the most important recovery mechanisms of a vapour extraction (VAPEX) process. Existing analytical models can neither accurately describe the mass transfer between solvent vapour and heavy oil nor predict the solvent chamber evolution. Simulation models are confounded by numerical dispersion and have difficulty in accurately characterizing fluid properties in VAPEX. This study first develops a mass transfer model to describe a dynamic heavy oil‐solvent mixing process. This model is then incorporated into a VAPEX model to estimate solvent chamber development and an oil production rate. Diffusivity is determined through history matching theoretically calculated and experimentally measured cumulative oil production data. It is found that both constant and variable diffusivities can achieve an excellent match in cumulative oil production data. However, their respective characterization of the fluid properties in the VAPEX transition zone is very different. This study also proposes a method to convert constant diffusivity into its equivalent variable diffusivity for VAPEX by using some regressed correlations. Moreover, the back‐calculated effective diffusivity is found to be about 10–30 times of the corresponding molecular diffusivity measured in the laboratory.</description><subject>Computer simulation</subject><subject>constant and variable diffusivity</subject><subject>Constants</subject><subject>Diffusivity</subject><subject>Dissolution</subject><subject>dynamic mass transfer</subject><subject>Dynamics</subject><subject>Extraction</subject><subject>Mass transfer</subject><subject>Mathematical models</subject><subject>Oil recovery</subject><subject>Oil wells</subject><subject>Petroleum production</subject><subject>Regression analysis</subject><subject>solvent chamber evolution</subject><subject>Solvents</subject><subject>Vapors</subject><subject>Vapour</subject><subject>vapour extraction</subject><issn>0008-4034</issn><issn>1939-019X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><recordid>eNp90E1LwzAYB_AgCs7pxU8Q8CJC55O3pjlK8ZWJlwneSkxTzWibmWzTfnsz68mDp5DwS_L8_widEpgRAHpplsbOKJWc7aEJUUxlQNTLPpoAQJFxYPwQHcW4TFsKnEzQ4tHXtm1d_4Z9g-uh150zuNMx4nXQfWxswK7HGm_1ym8Ctl_p2Kyd7_G71dsBe9fiYI3f2jDgVfDGxniMDhrdRnvyu07R8831orzL5k-39-XVPDNMEpYJIopGSga6UAUlr6SudV40hRC5oIxIKQS3IAgBKXMlASzkAMqYlENCwdkUnY_vpn8_Njauq85Fk-Lo3vpNrIgCTqlQXCZ69ocuU5w-TZcUVZIpwlVSF6MywccYbFOtgut0GCoC1a7galdw9VNwwmTEn661wz-yKh_K6_HON9wKesw</recordid><startdate>201706</startdate><enddate>201706</enddate><creator>Wang, Qiong</creator><creator>Jia, Xinfeng</creator><creator>Chen, Zhangxin</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>L7M</scope></search><sort><creationdate>201706</creationdate><title>Modelling of dynamic mass transfer in a vapour extraction heavy oil recovery process</title><author>Wang, Qiong ; Jia, Xinfeng ; Chen, Zhangxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3713-5158f7730a89821b1dda68f8556523177554e051107769700e06009cc40370843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Computer simulation</topic><topic>constant and variable diffusivity</topic><topic>Constants</topic><topic>Diffusivity</topic><topic>Dissolution</topic><topic>dynamic mass transfer</topic><topic>Dynamics</topic><topic>Extraction</topic><topic>Mass transfer</topic><topic>Mathematical models</topic><topic>Oil recovery</topic><topic>Oil wells</topic><topic>Petroleum production</topic><topic>Regression analysis</topic><topic>solvent chamber evolution</topic><topic>Solvents</topic><topic>Vapors</topic><topic>Vapour</topic><topic>vapour extraction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Qiong</creatorcontrib><creatorcontrib>Jia, Xinfeng</creatorcontrib><creatorcontrib>Chen, Zhangxin</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Canadian journal of chemical engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Qiong</au><au>Jia, Xinfeng</au><au>Chen, Zhangxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modelling of dynamic mass transfer in a vapour extraction heavy oil recovery process</atitle><jtitle>Canadian journal of chemical engineering</jtitle><date>2017-06</date><risdate>2017</risdate><volume>95</volume><issue>6</issue><spage>1171</spage><epage>1180</epage><pages>1171-1180</pages><issn>0008-4034</issn><eissn>1939-019X</eissn><abstract>ABSTRACT
Viscosity reduction through solvent dissolution into heavy oil is one of the most important recovery mechanisms of a vapour extraction (VAPEX) process. Existing analytical models can neither accurately describe the mass transfer between solvent vapour and heavy oil nor predict the solvent chamber evolution. Simulation models are confounded by numerical dispersion and have difficulty in accurately characterizing fluid properties in VAPEX. This study first develops a mass transfer model to describe a dynamic heavy oil‐solvent mixing process. This model is then incorporated into a VAPEX model to estimate solvent chamber development and an oil production rate. Diffusivity is determined through history matching theoretically calculated and experimentally measured cumulative oil production data. It is found that both constant and variable diffusivities can achieve an excellent match in cumulative oil production data. However, their respective characterization of the fluid properties in the VAPEX transition zone is very different. This study also proposes a method to convert constant diffusivity into its equivalent variable diffusivity for VAPEX by using some regressed correlations. Moreover, the back‐calculated effective diffusivity is found to be about 10–30 times of the corresponding molecular diffusivity measured in the laboratory.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cjce.22743</doi><tpages>10</tpages></addata></record> |
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subjects | Computer simulation constant and variable diffusivity Constants Diffusivity Dissolution dynamic mass transfer Dynamics Extraction Mass transfer Mathematical models Oil recovery Oil wells Petroleum production Regression analysis solvent chamber evolution Solvents Vapors Vapour vapour extraction |
title | Modelling of dynamic mass transfer in a vapour extraction heavy oil recovery process |
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