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Multiphase Flow Component Volume Fraction Measurement: Experimental Evaluation of Entropic Thresholding Methods Using an Electrical Capacitance Tomography System

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dc.creator Mwambela, Alfred
dc.creator Johansen, Geir A.
dc.date 2016-05-20T09:50:24Z
dc.date 2016-05-20T09:50:24Z
dc.date 2001
dc.date.accessioned 2018-03-27T08:52:57Z
dc.date.available 2018-03-27T08:52:57Z
dc.identifier Mwambela, A.J. and Johansen, G.A., 2001. Multiphase flow component volume fraction measurement: experimental evaluation of entropic thresholding methods using an electrical capacitance tomography system. Measurement Science and Technology, 12(8), p.1092.
dc.identifier http://hdl.handle.net/20.500.11810/2178
dc.identifier 10.1088/0957-0233/12/8/315
dc.identifier.uri http://hdl.handle.net/20.500.11810/2178
dc.description Full text can be accessed at http://iopscience.iop.org/article/10.1088/0957-0233/12/8/315/meta
dc.description A laboratory experiment to measure component volume fractions in a multiphase flow of an oil/gas/water mixture, where water is the discontinuous phase, has been conducted using a measurement system based on electrical capacitance tomography. The image reconstruction algorithm of the electrical capacitance tomography system has been modified to incorporate entropic thresholding methods, which facilitate accurate information extraction from the tomograms. Evaluation results show that this approach, using only one thresholding method, fails to meet the desired requirements over the full component volume fraction range, is flow regime dependent and is highly dependent on the concentration of the components in the mixture. However, some of the algorithms developed are complementary with the conventional algorithms over the full component volume fraction range. Integration of complementary algorithms improves the overall measurement results to within the desired requirements for operational purposes in the oil industry.
dc.language en
dc.title Multiphase Flow Component Volume Fraction Measurement: Experimental Evaluation of Entropic Thresholding Methods Using an Electrical Capacitance Tomography System
dc.type Journal Article


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