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dc.contributor.authorSubramanian, Sreedhar
dc.contributor.authorSimon, Sebastien Charles
dc.contributor.authorSjøblom, Johan
dc.date.accessioned2018-01-22T15:05:18Z
dc.date.available2018-01-22T15:05:18Z
dc.date.created2016-02-17T12:18:21Z
dc.date.issued2016
dc.identifier.citationJournal of Dispersion Science and Technology. 2016, 37 (7), 1027-1049.nb_NO
dc.identifier.issn0193-2691
dc.identifier.urihttp://hdl.handle.net/11250/2478829
dc.description.abstractAsphaltenes are the heaviest and the most polar fractions of crude oil and are defined as a solubility class (typically soluble in toluene but insoluble in n-alkanes like n-heptane). Precipitation and deposition of asphaltenes during production, processing, and transportation of oil are major challenges faced by the oil industry. Over the last 30 years, a number of different models have been proposed for predicting the onset of asphaltene precipitation and also the amount of precipitated asphaltenes. This article reviews the different models that have been proposed for predicting asphaltene precipitation either at atmospheric pressure or under depressurization. A brief summary of the different modeling approaches is presented followed by the description of work done by different research groups. Our focus will be on the description of the basic assumptions underlying different models and also the ability/performance of the model to match the experimental data. Finally, a comparison of models is presented and discussed along with suggestions for improvement.nb_NO
dc.language.isoengnb_NO
dc.publisherTaylor & Francisnb_NO
dc.titleAsphaltene Precipitation Models: A Reviewnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber1027-1049nb_NO
dc.source.volume37nb_NO
dc.source.journalJournal of Dispersion Science and Technologynb_NO
dc.source.issue7nb_NO
dc.identifier.doi10.1080/01932691.2015.1065418
dc.identifier.cristin1336883
dc.relation.projectNorges forskningsråd: 234112nb_NO
dc.description.localcodeThis is an [Accepted Manuscript] of an article published by Taylor & Francis in [Journal of Dispersion Science and Technology] on [date of publication], available at http://www.tandfonline.com/doi/full/10.1080/01932691.2015.1065418nb_NO
cristin.unitcode194,66,30,0
cristin.unitnameInstitutt for kjemisk prosessteknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1


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