• DocumentCode
    610192
  • Title

    Use of Bayesian networks for shock and vibration identification while drilling

  • Author

    Teslyuk, Vasyl ; Matviykiv, T.

  • Author_Institution
    CAD Dept., Lviv Polytech. Nat. Univ., Lviv, Ukraine
  • fYear
    2013
  • fDate
    19-23 Feb. 2013
  • Firstpage
    364
  • Lastpage
    365
  • Abstract
    In this paper, the use of Bayesian networks for shock and vibration identification is discussed. BN provide combination of graphical representation of shock and vibration identification process with its probabilistic nature and helps to analyze the possible scenarios to support real time drilling decisions.
  • Keywords
    belief networks; drilling (geotechnical); petroleum industry; shock waves; vibrations; Bayesian network; drilling decision; graphical representation; petroleum industry; shock identification; vibration identification; Automation; Bayes methods; Decision support systems; Electric shock; Real-time systems; Trajectory; Vibrations; Bayesian Networks; Shock and vibration Oil-well drilling; drilling automation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2013 12th International Conference on the
  • Conference_Location
    Polyana Svalyava
  • Print_ISBN
    978-1-4673-6461-4
  • Type

    conf

  • Filename
    6543295
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=610192