Measurement and Modeling of Pentane-Diluted Bitumen Phase Behaviour

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atmire.migration.oldid5474
dc.contributor.advisorYarranton, Harvey
dc.contributor.advisorTaylor, Shawn
dc.contributor.authorJohnston, Kimberly
dc.contributor.committeememberJeje, Ayodeji
dc.contributor.committeememberMoore, Robert Gordon
dc.contributor.committeememberLines, Laurence
dc.contributor.committeememberChapman, Walter
dc.date.accessioned2017-04-26T17:05:05Z
dc.date.available2017-04-26T17:05:05Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractThe phase behavior of mixtures of bitumens and n-alkanes is a key factor in the design and optimization of solvent-assisted heavy oil recovery processes and solvent deasphalting processes. However, data and comprehensive models are lacking for these mixtures. Crude oil phase behavior is typically modeled using cubic equations of state (CEoS). While CEoS have successfully fit saturation pressures and asphaltene onset points for bitumen-solvent systems using simple quadratic mixing rules; they do not accurately predict asphaltene precipitation yields. This thesis focuses on data collection and CEoS modeling with asymmetric mixing rules for mixtures of bitumen and n-pentane. Phase behavior data were collected for n-pentane diluted bitumen up to 14 MPa and 280°C. Saturation pressures were measured using both a PVT cell and a blind cell apparatus. The composition at which asphaltenes precipitate was measured using a high pressure microscope apparatus and was extrapolated from asphaltene yield data. A new experimental procedure was developed to measure the phase compositions of both the light phase and the asphaltene rich heavy phase at high temperature where two liquid phases are observed. A blind cell apparatus was designed to measure asphaltene yields for multiple samples simultaneously. Binary and ternary phase diagrams were generated from the data. The Advanced Peng Robinson (APR) CEoS with several sets of asymmetric and compositionally dependent mixing rules was evaluated using the aforementioned dataset. The use of asymmetric mixing rules significantly improved the match to asphaltene yield data; however, the yields were still under-predicted at high solvent contents and the tuning parameters that gave the best match for asphaltene yield data were not predictive or easily correlated for other solvents. The use of compositionally dependent solvent/asphaltene binary interaction parameters allowed the model to fit asphaltene yield data over the entire composition range. A set of interaction parameters was recommended that fits both asphaltene yield and saturation pressure data. While successful at fitting the data, this approach is not practical for many simulation applications and the overall conclusion is that CEoS are not well suited for the full range of bitumen-solvent phase behavior.en_US
dc.identifier.citationJohnston, K. (2017). Measurement and Modeling of Pentane-Diluted Bitumen Phase Behaviour (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26844en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26844
dc.identifier.urihttp://hdl.handle.net/11023/3726
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.subjectEngineering--Chemical
dc.subjectEngineering--Petroleum
dc.subject.otherBitumen Solvent Phase Behaviour
dc.subject.otherasphaltenes
dc.subject.otherEquation of State
dc.subject.otherMixing Rules
dc.titleMeasurement and Modeling of Pentane-Diluted Bitumen Phase Behaviour
dc.typedoctoral thesis
thesis.degree.disciplineChemical and Petroleum Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
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