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A reference conductivity fitting method for ERT system to achieve void fraction of gas/liquid flow
Affiliation:1. ISTerre, Université de Savoie, Equipe Géophysique des Volcans, IRD R219, CNRS, UMR 5275, F-73376 Bourget du Lac, France;2. University of Perugia, Italy;3. Sorbonne Université, UPMC - Université Paris 6, UMR 7619 Metis, 75005 Paris, France;4. Istituto Nazionale di Geofisica e Vulcanologia, Sezione di Napoli, Osservatorio Vesuviano, Via Diocleziano 328, 80124 Napoli, Italy;5. Géoazur, UMR7329, France;1. Institut de Physique du Globe de Paris, Sorbonne Paris Cité, Univ. Paris Diderot, Paris, France;3. Sorbonne Université, CNRS, EPHE, UMR 7619 METIS, 4 place Jussieu, 75005 Paris, France
Abstract:The void fraction is one of the key parameters in the measurement of gas/liquid two-phase flow. It can be derived from the absolute conductivity distribution based on Maxwell?s theory. With Electrical Resistance Tomography (ERT) technology, the absolute conductivity distribution is obtained by multiplying the relative conductivity image with the reference conductivity which is conventionally the liquid conductivity of a gas/liquid flow. Unfortunately the liquid conductivity is not always available. Therefore, a conductivity fitting method is proposed in this paper, to find an optimal reference conductivity, which will be used in substituting the liquid conductivity to reconstruct the quasi-absolute conductivity image. The optimal reference conductivity fitting method is proposed and validated by simulation and experiments under certain flow regimes, e.g. slug flow, annular flow and bubbly flow. The simulation and experimental results show that, independent from prior-knowledge, the fitted quasi-homogenous conductivity is close to the average conductivity of the sensing field. It also leads to a much more accurate estimation of void fraction than the conventional method using liquid conductivity as the reference. With the proposed method, the ERT technique can play a more significant role in the measurement of multiphase flow (MPF).
Keywords:Gas/liquid two-phase flow  Electrical resistance tomography  Image reconstruction  Flow regime  Void fraction
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