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dc.contributor.authorRashed, Sara; orcid: 0000-0003-1518-0596
dc.contributor.authorFaraj, Yousef; orcid: 0000-0003-4418-3649; email: y.faraj@chester.ac.uk
dc.contributor.authorWang, Mi
dc.contributor.authorWilkinson, Stephen
dc.date.accessioned2022-06-13T11:00:07Z
dc.date.available2022-06-13T11:00:07Z
dc.date.issued2022-06-14
dc.date.submitted2022-01-08
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/626945/metadata.xml?sequence=2
dc.identifierhttps://chesterrep.openrepository.com/bitstream/handle/10034/626945/pdf.pdf?sequence=3
dc.identifier.citationMeasurement Science and Technology, volume 33, issue 9, page 094006
dc.identifier.urihttp://hdl.handle.net/10034/626945
dc.descriptionFrom IOP Publishing via Jisc Publications Router
dc.descriptionHistory: received 2022-01-08, revised 2022-05-14, oa-requested 2022-05-16, accepted 2022-05-30, epub 2022-06-14, open-access 2022-06-14, ppub 2022-09-01
dc.descriptionPublication status: Published
dc.descriptionFunder: University of Chester; doi: http://dx.doi.org/10.13039/100010333
dc.description.abstractAbstract: This paper proposes a novel method to measure each constituent of an oil–gas–water mixture in a water continuous flow, typically encountered in many processes. It deploys a dual-plane electrical resistance tomography sensor for measuring dispersed phase volume fraction and velocity; a gradiomanometer flow density meter and a drift flux model to estimate slip velocities; with absolute pressure and temperature measurements. These data are fused to estimate constituent volume flow rates. Other commonly used operational parameters can be further derived: water cut or water liquid ratio (WLR) and gas volume fraction (GVF). Trials are described for flow rates of water 5–10 m3 h−1; oil 2–10 m3 h−1 and gas 1–15 m3 h−1. The comparative results are included with published data from the Schlumberger Gould Research flow facility. The paper proposes the use of the described configuration for measurement of volume flow rates in oil–gas–water flows with an absolute error of ±10% within GVF 9%–85% and WLR > 45%.
dc.languageen
dc.publisherIOP Publishing
dc.rightsLicence for this article: http://creativecommons.org/licenses/by/4.0
dc.sourcepissn: 0957-0233
dc.sourceeissn: 1361-6501
dc.subjectPaper
dc.subjectSpecial Section on the 10th World Congress on Industrial Process Tomography (WCIPT10)
dc.subjectthree-phase flow measurement
dc.subjectvertical upward flow
dc.subjectoil–gas–water flow
dc.subjectflow metering
dc.subjectelectrical resistance tomography
dc.subjectdrift flux model
dc.titleElectrical resistance tomography-based multi-modality sensor and drift flux model for measurement of oil–gas–water flow
dc.typearticle
dc.date.updated2022-06-13T11:00:06Z
dc.date.accepted2022-05-30


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