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Extended Kalman filter application for high-noise cancelation in control telemetry channels of oil electric submersible pump

Electro Submersible Pump (ESP) telemetry system allows getting information of different types of heavy electromagnetic noise: random, pulsing, harmonic etc. in the neighborhood They are pump unit's intake pressure, temperature and most importantly its insulation resistance for submersible motor...

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Bibliographic Details
Published in:Journal of petroleum science & engineering 2013-10, Vol.110, p.109-118
Main Authors: Ali-Zade, Parviz, Hajiyev, Chingiz, Hajiyeva, Ulviyya, Yilmaz, Murat
Format: Article
Language:English
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Summary:Electro Submersible Pump (ESP) telemetry system allows getting information of different types of heavy electromagnetic noise: random, pulsing, harmonic etc. in the neighborhood They are pump unit's intake pressure, temperature and most importantly its insulation resistance for submersible motor stator coil reliability – for the successful exploitation of the oil complexes. The change from analog to digital communication techniques is going at a fast rate in almost all technical fields. But increasing disturbance levels with corrupted analog communication result in an increased noise level, but are often still “audible” or the control system is still reliable. With increasing disturbance levels, the analog signal will be audible, but will remain low. However beyond a certain disturbance level, the so called “digital cliff”, the digital communication and the control stop abruptly. In this study, the extended Kalman filter (EKF) is designed and examined under severe noise conditions for the high-noise cancelation in control telemetry channels of oil ESP. The results approve a high performance of the developed EKF. •Oil pump (ESP) telemetry becomes risky in neighborhood of heavy electromagnetic noises.•Most important control parameter for ESP is stator cooling oil insulation resistance.•Analog signal is lower to run, but it is stable and more reliable than digital.•Extended Kalman filter (EKF) method is designed and examined under severe noise.•Obtained results show that the proposed EKF is valid even if the noise level is significant.
ISSN:0920-4105
1873-4715
DOI:10.1016/j.petrol.2013.08.051