• DocumentCode
    3559924
  • Title

    A New Method for the Online Voidage Measurement of the Gas–Oil Two-Phase Flow

  • Author

    Li, Xia ; Huang, Zhiyao ; Wang, Baoliang ; Li, Haiqing

  • Author_Institution
    Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou
  • Volume
    58
  • Issue
    5
  • fYear
    2009
  • fDate
    5/1/2009 12:00:00 AM
  • Firstpage
    1571
  • Lastpage
    1577
  • Abstract
    Based on the capacitances obtained from a 12-electrode electrical capacitance tomography (ECT) system and the least-squares support vector machine (LS-SVM) technique, a new method is proposed for the online voidage measurement of the gas-oil two-phase flow. In the practical voidage-measurement process, the real-time flow pattern of the gas-oil two-phase flow is directly identified from 66 capacitances obtained from the ECT system. Then, according to the flow pattern-identification results, a suitable measurement model is selected, and the voidage value is calculated. Both static and dynamic experimental results show that the proposed method is effective. The voidage-measurement result is independent of the flow pattern, and the real-time performance is satisfactory. Meanwhile, compared with the conventional voidage-measurement method based on an ECT system, the proposed method can produce more accurate voidage measurement without going through an image-reconstruction process.
  • Keywords
    flow measurement; image reconstruction; least squares approximations; petroleum industry; production engineering computing; support vector machines; tomography; two-phase flow; electrical capacitance tomography; gas-oil two-phase flow; image-reconstruction process; least-squares support vector machine; online voidage measurement; real-time flow pattern; Capacitance; least-squares support vector machine (LS-SVM); measurement; two-phase flow; voidage;
  • fLanguage
    English
  • Journal_Title
    Instrumentation and Measurement, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    12/16/2008 12:00:00 AM
  • ISSN
    0018-9456
  • Type

    jour

  • DOI
    10.1109/TIM.2008.2009138
  • Filename
    4717243