Analysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting

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dc.contributor.advisorQin, Guan
dc.contributor.committeeMemberHolley, Thomas K.
dc.contributor.committeeMemberLee, W. John
dc.creatorCombs, Nathan Kyle
dc.creator.orcid0000-0001-7818-9745
dc.date.accessioned2018-07-10T18:49:26Z
dc.date.available2018-07-10T18:49:26Z
dc.date.createdMay 2016
dc.date.issued2016-05
dc.date.submittedMay 2016
dc.date.updated2018-07-10T18:49:26Z
dc.description.abstractThere are currently several decline models in existence for production forecasting in unconventional reservoirs. This purpose of this research is to apply these different decline models to unconventional wells and provide insight on what models are most effective, particularly as they pertain to early-time data. The findings of this study show that the Arps model with b equal to 2.0 and Duong model provide good fits that can be used for forecasting wells in linear transient flow. When early-time data is used to determine the parameters of the models, the fits of the curves are affected, but could still be potentially used as viable tools. This study provides valuable data and clarity on how these decline models can be used or shouldn’t be used based upon the amount of data available. This clarification will be very valuable to reservoir engineers currently modeling unconventional reservoirs with only early-time data.
dc.description.departmentPetroleum Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/3187
dc.language.isoeng
dc.rightsThe author of this work is the copyright owner. UH Libraries and the Texas Digital Library have their permission to store and provide access to this work. Further transmission, reproduction, or presentation of this work is prohibited except with permission of the author(s).
dc.subjectDecline curve analysis
dc.subjectUnconventional reservoir modeling
dc.subjectForecasting
dc.subjectEarly-Time Data Modeling
dc.titleAnalysis of Decline Curve Models in Unconventional Wells and the Effectiveness of Modeling Early-time Data for the Purpose of Forecasting
dc.type.dcmiText
dc.type.genreThesis
thesis.degree.collegeCullen College of Engineering
thesis.degree.departmentPetroleum Engineering, Department of
thesis.degree.disciplinePetroleum Engineering
thesis.degree.grantorUniversity of Houston
thesis.degree.levelMasters
thesis.degree.nameMaster of Science

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