Published March 31, 2023 | Version v1
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Dual-modal imaging of two-phase flows with electromagnetic flow tomography and electrical tomography -- experimental evaluation of the state estimation approach

  • 1. Department of Technical Physics, the University of Eastern Finland, 70211 Kuopio

Description

The supplementary files included are associated with our experimental research on two-phase flow estimation. This study experimentally investigates the feasibility of a state estimation approach for dynamic image reconstruction in dual-modal tomography of two-phase oil-water flows using electromagnetic flow tomography (EMFT) and electrical tomography (ET). By approximating the process with a convection-diffusion model, the extended Kalman filter and fixed-interval Kalman smoother are applied to reconstruct temporally evolving velocity and phase fraction distributions. The results demonstrate that the Kalman smoother-based reconstructions, along with uncertainty estimates, outperform conventional methods and provide feasible volumetric flow rate estimates for oil and water phases in a laboratory setup.

Files

Figure 3 - phase fraction.gif

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Additional details

Funding

Research Council of Finland
Centre of Excellence of Inverse Modelling and Imaging / Consortium: CoE of Inverse Modelling and Imaging 312344