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    Electrical resistance tomography-based multi-modality sensor and drift flux model for measurement of oil–gas–water flow

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    Authors
    Rashed, Sara; orcid: 0000-0003-1518-0596
    Faraj, Yousef; orcid: 0000-0003-4418-3649; email: y.faraj@chester.ac.uk
    Wang, Mi
    Wilkinson, Stephen
    Publication Date
    2022-06-14
    Submitted date
    2022-01-08
    
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    Abstract
    Abstract: 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%.
    Citation
    Measurement Science and Technology, volume 33, issue 9, page 094006
    Publisher
    IOP Publishing
    URI
    http://hdl.handle.net/10034/626945
    Type
    article
    Description
    From IOP Publishing via Jisc Publications Router
    History: 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
    Publication status: Published
    Funder: University of Chester; doi: http://dx.doi.org/10.13039/100010333
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