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
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;
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921