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
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;
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
