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dc.contributor.advisorGildin, Eduardo
dc.creatorGao, Mengdi
dc.date.accessioned2015-04-28T15:34:34Z
dc.date.available2015-04-28T15:34:34Z
dc.date.created2014-12
dc.date.issued2014-11-18
dc.date.submittedDecember 2014
dc.identifier.urihttps://hdl.handle.net/1969.1/154076
dc.description.abstractDuring oil production, the change of production states could cause the change of pressure losses through the production facilities, and consequently result in the variations of well-boundary-conditions in time. In the de-coupled reservoir simulators, the well boundary condition (i.e. bottom hole pressure) is estimated and fixed. Therefore, when performing simulations for production prediction, the de-coupled reservoir simulator would fail to predict the behaviors of the well boundary conditions during production. In this case, a simulator that involves the effects of surface facilities is necessary when perform production prediction . The implementation of partially implicit coupling method has faced the issues due to their inaccuracies and instabilities for complex cases. In this case, the fully implicit coupling is demanded for such complex. This research explores the concept and implementation of fully coupling method. This study focuses on investigating the effects of coupling surface and subsurface model on production forecast. This production prediction is performed under simple constraints (i.e. surface production and injection pressures) and various surface facilities. The results from running the coupled model showed that the bottom hole pressures of producers are affected by both the gas-oil ratio (GOR) and water cut. Other surface facility fittings (i.e. chock or valves) and more complex reservoir description are considered in this project as well.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subjectsurface/subsurface couplingen
dc.subjectfully impliciten
dc.subjectpartially impliciten
dc.subjectproduction predictionen
dc.subjectwell boundary conditions.en
dc.titleReservoir and Surface Facilities Coupled Through Partially and Fully Implicit Approachesen
dc.typeThesisen
thesis.degree.departmentPetroleum Engineeringen
thesis.degree.disciplinePetroleum Engineeringen
thesis.degree.grantorTexas A & M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberZhu, Ding
dc.contributor.committeeMemberEfendiev, Yalchin
dc.type.materialtexten
dc.date.updated2015-04-28T15:34:34Z
local.etdauthor.orcid0000-0001-5358-7886


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