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Well field three-dimensional drill string vibration signals’ periodic vibration noise separation method research.
Author(s):
1. Wu Haocheng: College of Information and Control Engineering, China university of Petroleum, Dongying, China
2. Dai Yongshou: College of Information and Control Engineering, China university of Petroleum, Dongying, China
3. Sun Weifeng: College of Information and Control Engineering, China university of Petroleum, Dongying, China
4. Li Ligang: College of Information and Control Engineering, China university of Petroleum, Dongying, China
5. Zhang Yanan: College of Information and Control Engineering, China university of Petroleum, Dongying, China
Abstract:
The effect of periodic vibration noise in wellsite is an important factor which impact analysis on three-dimensional drill string vibration signal. In order to obtain more accurate characters of three-dimensional drill string vibration signal that reflects the drilling tools condition, we conduct researches on the periodic vibration noise in the wellsite, independent component analysis algorithm which based on negative entropy for periodic vibration noise signal separation was adopted. At the same time, in order to improve the effect of algorithm demixing, an improved Particle Swarm Optimization algorithm was introduced, combining with periodic noise components which exist in three directions of drill string vibration signals to seek the optimal mixed matrix by which can structure multi-channel mixed-signal of independent component analysis algorithm. This method has high similarity after separation each signal components, in operation has high efficiency. Through the experimental simulation, the method was proven feasible in the drill string vibration periodic noise signal separation.
Page(s): 348-354
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 49, Issue: 1, Year: 2013
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