• DocumentCode
    1773514
  • Title

    Differential capacitive sensor based interface circuit design for accurate measurement of water content in crude oil

  • Author

    Aslam, M. Zubair ; Tang Tong Boon

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Univ. Teknol. PETRONAS, Tronoh, Malaysia
  • fYear
    2014
  • fDate
    3-5 June 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In crude oil extraction and processing, measurement of water content plays vital role. Several methods are available to measure water content in crude oil but most of them are laborious and for offline detection. For an accurate online measurement of water content in crude oil, a novel interface circuit is proposed by using differential capacitive sensor based on modulation technique. This design consists of two capacitive sensors that compare the voltage signals of pure crude oil and solution under test. The simulation and experimental tests have been carried out to investigate the performance of the system. The interface circuit has sensitivity of 1.123mV/pF, which is adjustable according to the requirement. The system is tested for different concentrations of water and crude oil. The results showed that the proposed system has robust and near optimal performance with the change of water content in oil, which intern advantageous in term of accuracy and portability.
  • Keywords
    analogue-digital conversion; capacitive sensors; contamination; crude oil; integrated circuit design; crude oil extraction; crude oil processing; differential capacitive sensor based interface circuit design; modulation technique; sensitivity; water content measurement; Capacitance; Capacitive sensors; Electrodes; Integrated circuit modeling; Pollution measurement; Water pollution; ADC; Differential capacitive sensor; crude oil; interface circuit; water content;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4799-4654-9
  • Type

    conf

  • DOI
    10.1109/ICIAS.2014.6869504
  • Filename
    6869504