Santhosh Kumar Varanasi1, Chaitanya Manchikatla2, Venkata Goutham Polisetty3, Phanindra Jampana3
10:00 - 11:40 | Wed 24 Apr | Veleiros | WeA1
Electrical Impedance Tomography (EIT) can be used to obtain phase boundaries and gas holdups in multiphase flows. The main challenge in image reconstruction using EIT is the low spatial resolution. In this paper, a reconstruction algorithm using sparse optimization techniques is presented. For multiphase flows, gradients in the conductivity vector are sparse. Therefore, the reconstruction problem is formulated as identification of a sparse solution vector given the current-voltage measurements. A new iterative algorithm is proposed to estimate the conductivity values. The accuracy of the proposed method is demonstrated with the help of several case studies.
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