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“A new recontruction algorithm for use with capacitance-based tomography”

Authors: Ø. Isaksen and J.E. Nordtvedt
Affiliation: University of Bergen, Christian Michelsen Research and Rogaland Research
Reference: 1994, Vol. 15, No. 1, pp. 9-21.

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Keywords: Process measurements, multiphase flow, tomography

Abstract: A new reconstruction algorithm for use with capacitance-based process tomography is proposed. A numerical simulator, capable of calculating the capacitances for a particular sensor configuration and flow regime is used together with a parameter representation of the dielectric distribution and an optimization algorithm. The algorithm calculates these parameters and hence the dielectric distribution, by minimizing a function defined as a weighted sum of square differences between the measured and estimated capacitances. The method is tested by using both synthetic and experimental data, and the results are compared with results from the commonly used Linear Back Projection (LBP) algorithm. The method is capable of obtaining the correct parameter values for all the flow regimes tested, and does provide a better estimate than the LBP method. The method proves to be very promising, and is a step towards quantitative capacitance tomography.

PDF PDF (2011 Kb)        DOI: 10.4173/mic.1994.1.2

DOI forward links to this article:
[1] Trevor York, (2001), doi:10.1117/1.1377308
[3] H S Tapp E K Kemsley R H Wilson M L Holley, (1998), doi:10.1088/0957-0233/9/4/006
[4] O Isaksen A S Dico E A Hammer, (1994), doi:10.1088/0957-0233/5/10/011
[5] Øyvind Isaksen, (1996), doi:10.1088/0957-0233/7/3/013



References:
[1] AGA, M. (1991). Using the Levenberg-Marquardt Algorithm and the B-spline Representation to Determine the Characteristic Properties of the Porous Medium. MSc Thesis. University of Bergen, Norway.
[2] GILL, P.E., MURRAY, W., and WRIGHT, M.H. (1981). Practical Optimization (London, Academic Press).
[3] HUANG, S.M., PLASKOWSKI, A.B., XIE, C.G. and BECK, M.S. (1989). Tomographic imaging of two-component flow using capacitance sensors, J. Phys. E: Sci. Instrum., 22, 173-177, doi:10.1088/0022-3735/22/3/009
[4] ISAKSEN, O. (1989). Imaging Two-component Pipe Flow by Capacitance Sensors, MSc Thesis, University of Bergen, Norway.
[5] ISAKSEN, Ø. and NORDTVEDT, J.E. (1992). Capacitance Tomography: Reconstruction Based on Optimization Theory, presented at the 1st European Concerted Action on Process Tomography (ECAPT) conference, 26-29 March, Manchester, UK. Tomographic Techniques for Process Design and Operation (Computational Mechanics Publication), 213-224.
[6] NORDTVEDT, J.E., MEJIA, G., YANG, P. and WATSON, A.T. (1991). Estimation of Capillary Pressure and Relative Permeability Functions From Centrifuge Experiments. Paper Society of Petroleum Engineers (SPE) 20805 accepted for publication in SPE Reservoir Engineering (SPERE).
[7] WATSON, A.T., KERIG, P.D., RICHMOND, P.C. and TAO, T.M. (1988). A Regression-Based Method for Estimating Relative Permeabilities From Displacement Experiments. SPERE (March 1988), 3.
[8] XIE, C.G., HUANG, S.M., HOYLE, B.S. and BECK, M.S. (1991). Tomographic imaging of industrial equipment - development of system model and image reconstruction algorithm for capacitive tomography. Reviewed Proceedings of the 5th Conference on Sensors and Their Applications (Bristol: Adam Hilgar), 203-208.
[9] XIE, C.G., HUANG, S.M., HOYLE, B.S., THORN, R., LENN, C. and BECK, M.S. (1992). Electrical Capacitance Tomography for Flow Imaging - System model for development of reconstruction algorithms and design of primary sensors. IEE Proceedings G, 139, 89-98.


BibTeX:
@article{MIC-1994-1-2,
  title={{A new recontruction algorithm for use with capacitance-based tomography}},
  author={Isaksen, {\O}. and Nordtvedt, J.E.},
  journal={Modeling, Identification and Control},
  volume={15},
  number={1},
  pages={9--21},
  year={1994},
  doi={10.4173/mic.1994.1.2},
  publisher={Norwegian Society of Automatic Control}
};

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