• DocumentCode
    1176394
  • Title

    Direct and Inverse Modeling of a Microwave Sensor Determining the Proportion of Fluids in a Pipeline

  • Author

    Acikgoz, H. ; Jannier, B. ; Le Bihan, Y. ; Dubrunfaut, O. ; Meyer, O. ; Pichon, L.

  • Author_Institution
    Lab. de Genie Electr. de Paris, SUPELEC, Gif-sur-Yvette
  • Volume
    45
  • Issue
    3
  • fYear
    2009
  • fDate
    3/1/2009 12:00:00 AM
  • Firstpage
    1510
  • Lastpage
    1513
  • Abstract
    A microwave sensor constituted of both low- and high-frequency probes is presented. The role of the sensor is to determine the proportion of mixed fluids in a pipeline used in petroleum engineering to extract oil from an oil layer. In this paper, the annular flow regime in the pipeline is considered. Since the analytical solution for this configuration is not available for high frequencies, a combination of numerical modeling and neural networks (NNs) is used. Two inversion configurations are compared. Good results are obtained with the better one.
  • Keywords
    flow measurement; microwave detectors; numerical analysis; petroleum; pipe flow; fluid proportion measurement; high-frequency probes; inverse modeling; low-frequency probes; microwave sensor; mixed fluids; neural networks; numerical modeling; petroleum; pipeline annular flow regime; Microwave modeling; microwave sensor; neural network (NN); pipeline;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/TMAG.2009.2012692
  • Filename
    4787346