Geovisualization for Association Rule Mining in CHOPS Well Data

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atmire.migration.oldid3606
dc.contributor.advisorWang, Xin
dc.contributor.authorSun, Xiaodong
dc.date.accessioned2015-09-25T21:35:53Z
dc.date.available2015-11-20T08:00:41Z
dc.date.issued2015-09-25
dc.date.submitted2015en
dc.description.abstractAssociation rule mining has recently been applied to improve the oil recovery of CHOPS by discovering the association rules between reservoir properties and oil production from CHOPS well data. However, it leaves reservoir engineers with big challenging tasks to find interesting rules, understand the rules by the distribution patterns of relevant wells and make subsequent predictions by the application areas of the rules. In this thesis, three kinds of rule filters are developed to find out the interesting rules. Moreover, point-based and surface-based geovisualization methods are proposed to display the distribution patterns of relevant wells, build and represent potentially applicable areas for the rules on the map. A system prototype, containing association rule mining with filters, geovisualization functions, is developed. A case study has been carried out on a real CHOPS well dataset in western Alberta, Canada. The findings in the case study illustrate the feasibility of the proposed methods.en_US
dc.identifier.citationSun, X. (2015). Geovisualization for Association Rule Mining in CHOPS Well Data (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/26297en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/26297
dc.identifier.urihttp://hdl.handle.net/11023/2505
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.subjectArtificial Intelligence
dc.subjectComputer Science
dc.subjectEngineering--Petroleum
dc.subject.classificationgeovisualizationen_US
dc.subject.classificationCHOPS well dataen_US
dc.subject.classificationAssociation rule miningen_US
dc.subject.classificationdata mining for oil and gasen_US
dc.titleGeovisualization for Association Rule Mining in CHOPS Well Data
dc.typemaster thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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