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Differential Dielectric Sensor Model and its Applications for Water and Oil Flow

[+] Author Affiliations
Hui Li, Ram S. Mohan, Shoubo Wang

University of Tulsa, Tulsa, OK

Jack D. Marrelli

Chevron Energy Technology Company, Houston, TX

Paper No. IMECE2010-39104, pp. 147-154; 8 pages
doi:10.1115/IMECE2010-39104
From:
  • ASME 2010 International Mechanical Engineering Congress and Exposition
  • Volume 8: Dynamic Systems and Control, Parts A and B
  • Vancouver, British Columbia, Canada, November 12–18, 2010
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-4445-8
  • Copyright © 2010 by ASME

abstract

As a composition measurement tool, Differential Dielectric Sensor (DDS) developed by Chevron, has been investigated by several authors both theoretically and experimentally since 1989. The previous generation of DDS was based on empirical models which are produced time-consuming and labor-intensive. Uncertainty and repeatability are always issues limiting the application of empirical models. If parameters such as sensor geometries or properties of materials are modified in order to improve and/or optimize, the whole development process of the empirical model has to be repeated. In this paper, measurement model of DDS is developed with integrating 2 sub-models: dielectric mixture model and DD sensor model. The dielectric mixture model, taken from literature, outputs the effective dielectric permittivity of a two-component mixture. The development of DD sensor model is the main focus of this paper. Given effective permittivity provided by dielectric mixture model, DD sensor model predicts attenuation and phase shift of the transmission signal from transmitter to receiver. The measurement model is validated by experimental data and good agreement is observed.

Copyright © 2010 by ASME

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