Wang, Q orcid.org/0000-0002-1665-7408, Polansky, J, Wang, M orcid.org/0000-0003-0941-8481 et al. (4 more authors) (2016) Experimental Evaluation of Dual-Modality Electrical Tomographic Systems on Gas-Oil-Water Flow in Horizontal Pipeline. In: WCIPT8 Proceedings. 8th World Congress on Industrial Process Tomography, 26-29 Sep 2016, Iguassu Falls, Brazil. International Society for Industrial Process Tomography ISBN 978 0 853 16349 7
Abstract
A variety of dual-modality tomographic systems have been proposed for the characterisation of multiphase flow, but the evaluation of such systems are generally carried out under simplified flow conditions, such as stratified flow and slug flow. This paper reports the evaluation results of a dualmodality electrical tomographic system in an industry-scale gas-oil-water three-phase flow. Experimental conditions include water-to-liquid ratio (WLR) from 0% to 100% in parallel with gas volume fractions from 0% to 100%, which produces a variety of flow patterns, such as stratified-wavy flow, slug flow, plug flow, bubbly flow, and annular flow. Commercialised ITS M3C (ECT) and V5R (ERT) dual-modality systems were applied to perform the measurement. A threshold-based multidimensional data fused approach was implemented for the data fusion process. The results demonstrated that the ERT system is able to measure water continuous flow with WLR higher than 40%, which is in good agreement with previous reports. The ECT system is able to measure from 0% to 100% WLR, far beyond its conventional capabilities. Even though the tomograms are distorted when WLR is higher than 90%, this result is much better than the reported 40% limit. Visualisation and mean concentration derived from the tomograms by advanced data fusion verify the capability of the system in the application of gas-oil-water flow characterisation.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | electrical resistance tomography (ERT), electrical capacitance tomography (ECT), dual-modality tomographic system, gas-oil-water flow visualisation, multi-dimensional data fusion |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemical & Process Engineering (Leeds) |
Funding Information: | Funder Grant number EURAMET EMRP-MSU ENG58-REG2 EURAMET EMRP-MSU ENG58-REG3 |
Depositing User: | Symplectic Publications |
Date Deposited: | 30 Nov 2016 12:31 |
Last Modified: | 05 Aug 2019 15:59 |
Published Version: | https://www.isipt.org/world-congress/8/29004.html |
Status: | Published |
Publisher: | International Society for Industrial Process Tomography |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108722 |