Development of New Decline Model for Shale Oil Reserves

dc.contributor.advisorLee, W. John
dc.contributor.committeeMemberHolley, Thomas K.
dc.contributor.committeeMemberMyers, Michael T.
dc.contributor.committeeMemberQin, Guan
dc.creatorShah, Samit 1989-
dc.date.accessioned2015-08-26T01:01:47Z
dc.date.available2015-08-26T01:01:47Z
dc.date.createdAugust 2013
dc.date.issued2013-08
dc.date.updated2015-08-26T01:01:47Z
dc.description.abstractThis thesis provides a new methodology to forecast ultimate recovery, based on more reliable production forecast for shale oil wells using historical production data. Compared to available decline curve methods including Arps (AIME: 160, 228-247), Valko (SPE 134231) and Duong (SPE 137748), this method is more accurate and more conservative. Production forecasts play a vital role in determining the value of oil or gas wells, and improved accuracy enhances management decisions on field development. The new, more accurate method was verified using both field data and numerical simulations. This method can potentially be used in most shale reservoirs producing single-phase liquid.
dc.description.departmentPetroleum Engineering, Department of
dc.format.digitalOriginborn digital
dc.format.mimetypeapplication/pdf
dc.identifier.urihttp://hdl.handle.net/10657/1084
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.subjectReserves
dc.subjectDecline curve analysis
dc.subjectStretched exponential production decline model (SEPD)
dc.subjectArps
dc.subjectSamit
dc.subject.lcshPetroleum engineering
dc.titleDevelopment of New Decline Model for Shale Oil Reserves
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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