Discovering Relationships between Reservoir Properties and Production Data for CHOPS Using Data Mining Methods

Simple item page
atmire.migration.oldid4035
dc.contributor.advisorMahinpey, Nader
dc.contributor.advisorWang, Xin
dc.contributor.authorWang, Xi
dc.contributor.committeememberDong, Mingzhe
dc.contributor.committeememberChen, Shengnan (Nancy)
dc.date.accessioned2016-01-15T21:09:11Z
dc.date.available2016-01-15T21:09:11Z
dc.date.issued2016-01-15
dc.date.submitted2016en
dc.description.abstractCold Heavy Oil Production with Sand (CHOPS) produces sand, and greatly contributes to primary oil recovery. It’s generally believed that wormholes, resulting from sand flow, enhance oil recovery in this process. However, due to complexity and variability, it’s difficult for wormhole models to precisely describe how wormholes develop within the formation. In this study, we regard wormholes as an integral black box. We apply data mining methods to explore how the reservoir attributes influence the CHOPS wells production. Gain ratio is used to rank and select the most important attributes for oil production. For overall oil production performance, cumulative porosity, cumulative oil saturation, effective thickness, and average shale content are the most important and relevant attributes. Decision trees constructed by C4.5 algorithm provide details of how to classify oil production instances according to reservoir attributes. All the correctly classified rates are over 55%, which is reliable accuracy in our results.en_US
dc.identifier.citationWang, X. (2016). Discovering Relationships between Reservoir Properties and Production Data for CHOPS Using Data Mining Methods (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25718en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25718
dc.identifier.urihttp://hdl.handle.net/11023/2752
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.subjectComputer Science
dc.subjectEngineering--Petroleum
dc.subject.classificationCHOPSen_US
dc.subject.classificationWormholesen_US
dc.subject.classificationData Mining Methodsen_US
dc.subject.classificationWekaen_US
dc.subject.classificationGain Ratioen_US
dc.titleDiscovering Relationships between Reservoir Properties and Production Data for CHOPS Using Data Mining Methods
dc.typemaster thesis
thesis.degree.disciplineChemical and Petroleum Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Engineering (MEng)
ucalgary.item.requestcopytrue
Files
Collections
Open Theses and Dissertations