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History matching of production data using an updated static model. A case study from Gullfaks

Pyliotis Ioannis

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URIhttp://purl.tuc.gr/dl/dias/A2C628D5-BE0A-4A48-BCEC-C5A50399B3C4-
Identifierhttps://doi.org/10.26233/heallink.tuc.67373-
Languageen-
Extent52 pagesen
TitleHistory matching of production data using an updated static model. A case study from Gullfaksen
CreatorPyliotis Ioannisen
CreatorΠυλιωτης Ιωαννηςel
Contributor [Thesis Supervisor]Kalogerakis Nikosen
Contributor [Thesis Supervisor]Καλογερακης Νικοςel
Contributor [Committee Member]Chatzichristos, Christosen
Contributor [Committee Member]Κιομουρτζή Πασχαλίαel
Contributor [Committee Member]Kiomourtzi Paschaliaen
PublisherΠολυτεχνείο Κρήτηςel
PublisherTechnical University of Creteen
Academic UnitTechnical University of Crete::School of Mineral Resources Engineeringen
Academic UnitΠολυτεχνείο Κρήτης::Σχολή Μηχανικών Ορυκτών Πόρωνel
DescriptionΜεταπτυχιακή Διατριβή στα πλαίσια του ΜΠΣ 'Pertoleum Engineering'el
Content SummaryIn the present thesis, a new dynamic model of H1 segment in the Gullfaks field, Norway, is built based on an updated static model. The update of the static model refers to the re-interpretation of a more recent seismic dataset, which resulted into a new structural model. The new static model was the basis for constructing a new grid for dynamic modelling for history matching. Two different datasets were combined for this purpose. The first dataset was an already existing dynamic model for H1 segment (Lower Brent Group) and production data, while the second one was a 3D seismic dataset along with a static model of the overlying Upper Brent Group for the entire Gullfaks field (Petrel support dataset). The predictions of the new dynamic model were different compared to those of the initial dynamic model, which most probably reflects the impact of the updated structure. However, based on the interpretation of the available seismic data it is considered that the updated structure is more consistent to geological setting of the area that the seismic reveal. Thus, by having a more representative geological static model and the production data history matched on the new grid, we can conclude that the updated dynamic model can predict the future performance of the studied reservoir with more confidence. en
Type of ItemΜεταπτυχιακή Διατριβήel
Type of ItemMaster Thesisen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2017-02-06-
Date of Publication2017-
SubjectReservoir modelingen
Bibliographic CitationIoannis Pyliotis, "History matching of production data using an updated static model. A case study from Gullfaks", Master Thesis, School of Mineral Resources Engineering, Technical University of Crete, Chania, Greece, 2017en

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