• DocumentCode
    1843296
  • Title

    Estimation of the drill bit angular velocity using accelerometer measurements and extended Kalman filters

  • Author

    Soroush, Amirali ; Richard, Thomas ; Nordholm, Sven

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Curtin Univ., Bentley, WA, Australia
  • fYear
    2011
  • fDate
    4-6 Sept. 2011
  • Firstpage
    68
  • Lastpage
    71
  • Abstract
    In this paper, an extended Kalman filter model is proposed to estimate the angular velocity of a drilling shaft based on the accelerometer measurements of a downhole recording tool mounted on the drill rod. The method allows tracking the severity of torsional vibrations in real-time. The results outline the advantages of the proposed method in particular its ability to capture events of backward rotation known to be very detrimental to the life of drill bits.
  • Keywords
    Kalman filters; accelerometers; angular velocity measurement; drilling; drilling machines; shafts; statistical analysis; vibrations; accelerometer measurements; drill bit angular velocity estimation; drill rod; drilling shaft; extended Kalman filters; torsional vibrations; Acceleration; Accelerometers; Angular velocity; Kalman filters; Noise; Noise measurement; Vibrations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
  • Conference_Location
    Dubrovnik
  • ISSN
    1845-5921
  • Print_ISBN
    978-1-4577-0841-1
  • Electronic_ISBN
    1845-5921
  • Type

    conf

  • Filename
    6046582