Predicting heavy oil and bitumen viscosity from well logs and calculated seismic properties

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atmire.migration.oldid5434
dc.contributor.advisorLines, Laurence
dc.contributor.authorRops, Eric
dc.contributor.committeememberRussell, Brian
dc.contributor.committeememberMaini, Brij
dc.date.accessioned2017-04-18T19:33:22Z
dc.date.available2017-04-18T19:33:22Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractViscosity is the most important parameter influencing heavy oil production and development. While heavy oil viscosities can be measured in the lab from core and wellhead samples, it would be very useful to have a method to reliably estimate heavy oil viscosity directly from well logs. Multi-attribute analysis enables a target attribute (viscosity) to be predicted from other known attributes (the well logs). The viscosity measurements were generously provided by Donor Company, which allowed viscosity prediction equations to be trained. Once the best method of training the prediction was determined, viscosity was successfully predicted from resistivity, gamma-ray, NMR porosity, spontaneous potential, and the sonic logs. The predictions modelled vertical viscosity variations throughout the reservoir interval, while matching the true measurements with a 0.76 correlation. Another set of viscosity predictions were generated using log-derived seismic properties. The top viscosity-predicting seismic properties were found to be P-wave velocity and acoustic impedance. They predicted viscosity with an average validation error less than one standard deviation, however the predictions were less detailed with a correlation of only 0.35. Also explored in this thesis was the effect of including depth as a viscosity predictor, predicting viscosity from acoustic logs scaled to seismic frequencies, and bitumen-water contact detection from acoustic logs.en_US
dc.identifier.citationRops, E. (2017). Predicting heavy oil and bitumen viscosity from well logs and calculated seismic properties (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/27402en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/27402
dc.identifier.urihttp://hdl.handle.net/11023/3705
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.subjectGeology
dc.subjectGeophysics
dc.subjectEngineering--Petroleum
dc.subject.otherheavy oil
dc.subject.otherBitumen
dc.subject.otherviscosity
dc.subject.otherprediction
dc.subject.otherwell logs
dc.subject.otherseismic properties
dc.subject.othermulti-attribute
dc.subject.otherleast squares
dc.subject.otherpetrophysical
dc.titlePredicting heavy oil and bitumen viscosity from well logs and calculated seismic properties
dc.typemaster thesis
thesis.degree.disciplineGeology and Geophysics
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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