Network asymptotics for high contrast impedance tomography

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Description

Fluid contaminant plumes underground are often electrically conducting and, therefore, can be imaged using electrical impedance tomography. The authors introduce an output least-squares method for impedance tomography problems that have regions of high conductivity surrounded by regions of lower conductivity. The high conductivity is modeled on network approximation results from an asymptotic analysis and its recovery is based on this model. The smoothly varying part of the conductivity is recovered by a linearization process as is usual. The authors present the results of several numerical experiments that illustrate the performance of the method.

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17 p.

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Borcea, L.; Papanicolaou, G.C. & Berryman, J.G. May 1, 1996.

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Fluid contaminant plumes underground are often electrically conducting and, therefore, can be imaged using electrical impedance tomography. The authors introduce an output least-squares method for impedance tomography problems that have regions of high conductivity surrounded by regions of lower conductivity. The high conductivity is modeled on network approximation results from an asymptotic analysis and its recovery is based on this model. The smoothly varying part of the conductivity is recovered by a linearization process as is usual. The authors present the results of several numerical experiments that illustrate the performance of the method.

Physical Description

17 p.

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OSTI as DE96011550

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  • Symposium on inverse problems: geophysical applications, Yosemite Fish Camp, CA (United States), 16-19 Dec 1995

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  • Other: DE96011550
  • Report No.: UCRL-JC--124307
  • Report No.: CONF-951219--1
  • Grant Number: W-7405-ENG-48
  • Office of Scientific & Technical Information Report Number: 251310
  • Archival Resource Key: ark:/67531/metadc673440

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  • May 1, 1996

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  • June 29, 2015, 9:42 p.m.

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  • Aug. 25, 2016, 2:41 p.m.

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Borcea, L.; Papanicolaou, G.C. & Berryman, J.G. Network asymptotics for high contrast impedance tomography, article, May 1, 1996; California. (digital.library.unt.edu/ark:/67531/metadc673440/: accessed December 12, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.