Molar mass distribution and solubility modeling of asphaltenes
Attempts to model asphaltene solubility with Scatchard‐Hildebrand theory were hampered by uncertainty in molar volume and solubility parameter distribution within the asphaltenes. By considering asphaltenes as a series of polyaromatic hydrocarbons with randomly distributed associated functional grou...
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| Veröffentlicht in: | AIChE Journal 1996-12, Vol.42 (12), p.3533-3543 |
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| container_title | AIChE Journal |
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| creator | Yarranton, Harvey W. Masliyah, Jocob H. |
| description | Attempts to model asphaltene solubility with Scatchard‐Hildebrand theory were hampered by uncertainty in molar volume and solubility parameter distribution within the asphaltenes. By considering asphaltenes as a series of polyaromatic hydrocarbons with randomly distributed associated functional groups, molar volume and solubility parameter distributions are calculated from experimental measurements of molar mass and density. The molar mass distribution of Athabasca asphaltenes is determined from interfacial tension and vapor pressure osmometry measurements together with plasma desorption mass spectrometry determinations from the literature. Asphaltene desnities are calculated indirectly from mixtures of known concentration of asphaltene in toluene. Asphaltene density, molar volume, and solubility parameter are correlated with molar mass. Solid‐liquid equilibrium calculations based on solubility theory and the asphaltene property correlations successfully predict experimental data for both the precipitation point and the amount of precipitated asphaltenes in toluene‐hexane solvent mixtures. |
| doi_str_mv | 10.1002/aic.690421222 |
| format | Article |
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By considering asphaltenes as a series of polyaromatic hydrocarbons with randomly distributed associated functional groups, molar volume and solubility parameter distributions are calculated from experimental measurements of molar mass and density. The molar mass distribution of Athabasca asphaltenes is determined from interfacial tension and vapor pressure osmometry measurements together with plasma desorption mass spectrometry determinations from the literature. Asphaltene desnities are calculated indirectly from mixtures of known concentration of asphaltene in toluene. Asphaltene density, molar volume, and solubility parameter are correlated with molar mass. Solid‐liquid equilibrium calculations based on solubility theory and the asphaltene property correlations successfully predict experimental data for both the precipitation point and the amount of precipitated asphaltenes in toluene‐hexane solvent mixtures.</description><identifier>ISSN: 0001-1541</identifier><identifier>EISSN: 1547-5905</identifier><identifier>DOI: 10.1002/aic.690421222</identifier><identifier>CODEN: AICEAC</identifier><language>eng</language><publisher>New York: American Institute of Chemical Engineers</publisher><subject>02 PETROLEUM ; Applied sciences ; ASPHALTENES ; ATHABASCA DEPOSIT ; Constitution and properties of crude oils, shale oils, natural gas and bitumens. Analysis and characteristics ; Crude oil, natural gas and petroleum products ; Crude oil, natural gas, oil shales producing equipements and methods ; Energy ; Enhanced oil recovery methods ; Exact sciences and technology ; Fuels ; MATHEMATICAL MODELS ; MOLECULAR WEIGHT ; PETROLEUM PRODUCTS ; Prospecting and production of crude oil, natural gas, oil shales and tar sands ; SOLUBILITY</subject><ispartof>AIChE Journal, 1996-12, Vol.42 (12), p.3533-3543</ispartof><rights>Copyright © 1996 American Institute of Chemical Engineers</rights><rights>1997 INIST-CNRS</rights><rights>Copyright American Institute of Chemical Engineers Dec 1996</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5052-5f2fb503ff0168ed66b745757964bc4c9b02fd17a6fd0b5d70aebcded12cb9b13</citedby><cites>FETCH-LOGICAL-c5052-5f2fb503ff0168ed66b745757964bc4c9b02fd17a6fd0b5d70aebcded12cb9b13</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%2Faic.690421222$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Faic.690421222$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,885,1417,27924,27925,45574,45575</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=2526901$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/419890$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Yarranton, Harvey W.</creatorcontrib><creatorcontrib>Masliyah, Jocob H.</creatorcontrib><title>Molar mass distribution and solubility modeling of asphaltenes</title><title>AIChE Journal</title><addtitle>AIChE J</addtitle><description>Attempts to model asphaltene solubility with Scatchard‐Hildebrand theory were hampered by uncertainty in molar volume and solubility parameter distribution within the asphaltenes. By considering asphaltenes as a series of polyaromatic hydrocarbons with randomly distributed associated functional groups, molar volume and solubility parameter distributions are calculated from experimental measurements of molar mass and density. The molar mass distribution of Athabasca asphaltenes is determined from interfacial tension and vapor pressure osmometry measurements together with plasma desorption mass spectrometry determinations from the literature. Asphaltene desnities are calculated indirectly from mixtures of known concentration of asphaltene in toluene. Asphaltene density, molar volume, and solubility parameter are correlated with molar mass. Solid‐liquid equilibrium calculations based on solubility theory and the asphaltene property correlations successfully predict experimental data for both the precipitation point and the amount of precipitated asphaltenes in toluene‐hexane solvent mixtures.</description><subject>02 PETROLEUM</subject><subject>Applied sciences</subject><subject>ASPHALTENES</subject><subject>ATHABASCA DEPOSIT</subject><subject>Constitution and properties of crude oils, shale oils, natural gas and bitumens. Analysis and characteristics</subject><subject>Crude oil, natural gas and petroleum products</subject><subject>Crude oil, natural gas, oil shales producing equipements and methods</subject><subject>Energy</subject><subject>Enhanced oil recovery methods</subject><subject>Exact sciences and technology</subject><subject>Fuels</subject><subject>MATHEMATICAL MODELS</subject><subject>MOLECULAR WEIGHT</subject><subject>PETROLEUM PRODUCTS</subject><subject>Prospecting and production of crude oil, natural gas, oil shales and tar sands</subject><subject>SOLUBILITY</subject><issn>0001-1541</issn><issn>1547-5905</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNp9kM1LAzEQxYMoWKtH76t4XZ1kN5vmIkjRKlRFUTyGfGp0u6nJFu1_b6SlePI0zPB7bx4PoUMMpxiAnEmvTxsONcGEkC00wLRmJeVAt9EAAHCZD3gX7aX0njfCRmSAzm9DK2MxkykVxqc-erXofegK2ZkihXahfOv7ZTELxra-ey2CK2Sav8m2t51N-2jHyTbZg_Ucouery6fxdTm9n9yML6alpkBJSR1xikLlHOBmZE3TKFZTRhlvaqVrzRUQZzCTjTOgqGEgrdLGGky04gpXQ3S08g2p9yJp31v9pkPXWd2LGvMRh8wcr5h5DJ8Lm3rxHhaxy7EE5rxiFFiToXIF6RhSitaJefQzGZcCg_htUeQWxabFzJ-sTWXSsnVRdtqnjYhQktnffGyFffnWLv_3FBc3478P1oFy-fZ7o5TxQzQshxYvdxNRV3D98DgBAdUPFpeQjg</recordid><startdate>199612</startdate><enddate>199612</enddate><creator>Yarranton, Harvey W.</creator><creator>Masliyah, Jocob H.</creator><general>American Institute of Chemical Engineers</general><general>Wiley Subscription Services</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7U5</scope><scope>8FD</scope><scope>C1K</scope><scope>L7M</scope><scope>SOI</scope><scope>OTOTI</scope></search><sort><creationdate>199612</creationdate><title>Molar mass distribution and solubility modeling of asphaltenes</title><author>Yarranton, Harvey W. ; Masliyah, Jocob H.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5052-5f2fb503ff0168ed66b745757964bc4c9b02fd17a6fd0b5d70aebcded12cb9b13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>02 PETROLEUM</topic><topic>Applied sciences</topic><topic>ASPHALTENES</topic><topic>ATHABASCA DEPOSIT</topic><topic>Constitution and properties of crude oils, shale oils, natural gas and bitumens. Analysis and characteristics</topic><topic>Crude oil, natural gas and petroleum products</topic><topic>Crude oil, natural gas, oil shales producing equipements and methods</topic><topic>Energy</topic><topic>Enhanced oil recovery methods</topic><topic>Exact sciences and technology</topic><topic>Fuels</topic><topic>MATHEMATICAL MODELS</topic><topic>MOLECULAR WEIGHT</topic><topic>PETROLEUM PRODUCTS</topic><topic>Prospecting and production of crude oil, natural gas, oil shales and tar sands</topic><topic>SOLUBILITY</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yarranton, Harvey W.</creatorcontrib><creatorcontrib>Masliyah, Jocob H.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Environment Abstracts</collection><collection>OSTI.GOV</collection><jtitle>AIChE Journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yarranton, Harvey W.</au><au>Masliyah, Jocob H.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Molar mass distribution and solubility modeling of asphaltenes</atitle><jtitle>AIChE Journal</jtitle><addtitle>AIChE J</addtitle><date>1996-12</date><risdate>1996</risdate><volume>42</volume><issue>12</issue><spage>3533</spage><epage>3543</epage><pages>3533-3543</pages><issn>0001-1541</issn><eissn>1547-5905</eissn><coden>AICEAC</coden><abstract>Attempts to model asphaltene solubility with Scatchard‐Hildebrand theory were hampered by uncertainty in molar volume and solubility parameter distribution within the asphaltenes. By considering asphaltenes as a series of polyaromatic hydrocarbons with randomly distributed associated functional groups, molar volume and solubility parameter distributions are calculated from experimental measurements of molar mass and density. The molar mass distribution of Athabasca asphaltenes is determined from interfacial tension and vapor pressure osmometry measurements together with plasma desorption mass spectrometry determinations from the literature. Asphaltene desnities are calculated indirectly from mixtures of known concentration of asphaltene in toluene. Asphaltene density, molar volume, and solubility parameter are correlated with molar mass. Solid‐liquid equilibrium calculations based on solubility theory and the asphaltene property correlations successfully predict experimental data for both the precipitation point and the amount of precipitated asphaltenes in toluene‐hexane solvent mixtures.</abstract><cop>New York</cop><pub>American Institute of Chemical Engineers</pub><doi>10.1002/aic.690421222</doi><tpages>11</tpages></addata></record> |
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| subjects | 02 PETROLEUM Applied sciences ASPHALTENES ATHABASCA DEPOSIT Constitution and properties of crude oils, shale oils, natural gas and bitumens. Analysis and characteristics Crude oil, natural gas and petroleum products Crude oil, natural gas, oil shales producing equipements and methods Energy Enhanced oil recovery methods Exact sciences and technology Fuels MATHEMATICAL MODELS MOLECULAR WEIGHT PETROLEUM PRODUCTS Prospecting and production of crude oil, natural gas, oil shales and tar sands SOLUBILITY |
| title | Molar mass distribution and solubility modeling of asphaltenes |
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