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Electrical resistance tomography-based multi-modality sensor and drift flux model for measurement of oil-gas-water flow
Rashed, Sara Faraj, Yousef Wang, Mi Wilkinson, Stephen
Rashed, Sara
Faraj, Yousef
Wang, Mi
Wilkinson, Stephen
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2022-06-14
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Article - AAM
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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 and Gas Volume Fraction. 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 Gas Volume Fraction 9 % - 85 % and Water Liquid Ratio > 45 %.
Citation
Rashed S., Faraj Y., Wang M., & Wilkinson S. (2022). Electrical resistance tomography-based multi-modality sensor and drift flux model for measurement of oil–gas–water flow. Measurement Science and Technology, 33(9), 094006. https://doi.org/10.1088/1361-6501/ac74a1
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IOP Publishing
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Measurement Science and Technology
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DOI
10.1088/1361-6501/ac74a1
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Article
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This is the Accepted Manuscript version of an article accepted for publication in [Measurement Science and Technology]. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at [https://doi.org/10.1088/1361-6501/ac74a1].
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ISSN
0957-0233
EISSN
1361-6501