Open AccessNumerical study of displacement current phase tomography for gas-water two-phase flow
Author(s) -
Xiaoxin Wang,
Yangzheng Chen,
Bo Wang,
Ruirong Dang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1894/1/012095
Subject(s) - electrical capacitance tomography , tomography , displacement current , materials science , displacement (psychology) , phase (matter) , flow (mathematics) , mechanics , current (fluid) , two phase flow , iterative reconstruction , nonlinear system , capacitance , electronic engineering , acoustics , optics , electrical engineering , computer science , physics , engineering , psychology , electrode , quantum mechanics , artificial intelligence , psychotherapist
Electrical Tomography technology is widely used in the research and engineering practice of two-phase flow due to its advantages of non-radiation, non-intrusive and simple equipment structure. However, because of the electrical tomography sensitive field distribution of medium nonlinear (soft), the reconstructed images are often distorted, especially when faced with high conductivity and high dielectric constant two-phase flow (such as oil-field water of high salinity). Displacement current phase tomography (DCPT) is a new electrical tomography technology and it is proposed in 2017. An attractive feature of DCPT is that the relationship between the measured phase and the loss factor has a more extended linear range than the relationship between the measured capacitances in ECT and the permittivity distribution. In this paper, a 12-electrod DCPT with Landweber reconstruction algorithm is applied for gas-water two-phase flow imaging, and the reconstruction results are compared with electrical capacitance tomography (ECT) by numerical examples.