Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1159
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dc.contributor.authorOsgouei, Reza Ettehadi-
dc.contributor.authorÖzbayoğlu, Ahmet Murat-
dc.contributor.authorÖzbayoğlu, Evren M.-
dc.contributor.authorYüksel, Ertan-
dc.contributor.authorEresen, Aydın-
dc.date.accessioned2019-06-26T07:40:34Z
dc.date.available2019-06-26T07:40:34Z
dc.date.issued2015-05-02
dc.identifier.citationOsgouei, R. E., Ozbayoglu, A. M., Ozbayoglu, E. M., Yuksel, E., & Eresen, A. (2015). Pressure drop estimation in horizontal annuli for liquid–gas 2 phase flow: Comparison of mechanistic models and computational intelligence techniques. Computers & Fluids, 112, 108-115.en_US
dc.identifier.issn0045-7930
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0045793014004253?via%3Dihub-
dc.identifier.urihttps://hdl.handle.net/20.500.11851/1159-
dc.description.abstractFrictional pressure loss calculations and estimating the performance of cuttings transport during underbalanced drilling operations are more difficult due to the characteristics of multi-phase fluid flow inside the wellbore. In directional or horizontal wellbores, such calculations are becoming more complicated due to the inclined wellbore sections, since gravitational force components are required to be considered properly. Even though there are numerous studies performed on pressure drop estimation for multiphase flow in inclined pipes, not as many studies have been conducted for multiphase flow in annular geometries with eccentricity. In this study, the frictional pressure losses are examined thoroughly for liquid-gas multiphase flow in horizontal eccentric annulus. Pressure drop measurements for different liquid and gas flow rates are recorded. Using the experimental data, a mechanistic model based on the modification of Lockhart and Martinelli [18] is developed. Additionally, 4 different computational intelligence techniques (nearest neighbor, regression trees, multilayer perceptron and Support Vector Machines - SVM) are modeled and developed for pressure drop estimation. The results indicate that both mechanistic model and computational intelligence techniques estimated the frictional pressure losses successfully for the given flow conditions, when compared with the experimental results. It is also noted that the computational intelligence techniques performed slightly better than the mechanistic model. (C) 2014 Elsevier Ltd. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherPergamon - Elsevier Science ltd.en_US
dc.relation.ispartofComputers & Fluidsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectUnderbalanced Drillingen_US
dc.subjectHorizontal Annulien_US
dc.subjectPressure Dropen_US
dc.subjectLiquid-Gas Flowen_US
dc.subjectNeural Networksen_US
dc.subjectSvmen_US
dc.titlePressure drop estimation in horizontal annuli for liquid-gas 2 phase flow: Comparison of mechanistic models and computational intelligence techniquesen_US
dc.typeArticleen_US
dc.departmentFaculties, Faculty of Engineering, Department of Computer Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümütr_TR
dc.identifier.volume112
dc.identifier.startpage108
dc.identifier.endpage115
dc.relation.tubitakTUBITAK (The Scientific and Technological Research Council of Turkey) Project [108M106]en_US
dc.authorid0000-0001-7998-5735-
dc.identifier.wosWOS:000352176600010en_US
dc.identifier.scopus2-s2.0-84924851541en_US
dc.institutionauthorÖzbayoğlu, Ahmet Murat-
dc.identifier.doi10.1016/j.compfluid.2014.11.003-
dc.authorwosidH-2328-2011-
dc.authorscopusid6505999525-
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopusqualityQ1-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.openairetypeArticle-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.dept02.1. Department of Artificial Intelligence Engineering-
Appears in Collections:Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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