2021
DOI: 10.1016/j.petrol.2021.108433
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Study on model-based pump noise suppression method of mud pulse signal

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Cited by 13 publications
(2 citation statements)
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References 16 publications
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“…Yang et al [57] attempted to estimate the channel impulse response function of the pump stroke signal using the coherent accumulation method and established a Longuet-Higgins probability distribution for the pump stroke frequency to model the pump noise using statistical methods. Chen et al [58] constructed three pump noise models applicable to ordinary n-cylinder mud pumps under normal operation: linear time-invariant, linear time-varying, and nonlinear models. The energy of the pump noise is relatively high, causing the mud pulse signal to be submerged in the pump noise.…”
Section: Noise Analysismentioning
confidence: 99%
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“…Yang et al [57] attempted to estimate the channel impulse response function of the pump stroke signal using the coherent accumulation method and established a Longuet-Higgins probability distribution for the pump stroke frequency to model the pump noise using statistical methods. Chen et al [58] constructed three pump noise models applicable to ordinary n-cylinder mud pumps under normal operation: linear time-invariant, linear time-varying, and nonlinear models. The energy of the pump noise is relatively high, causing the mud pulse signal to be submerged in the pump noise.…”
Section: Noise Analysismentioning
confidence: 99%
“…The feasibility of the proposed high-data-rate mud pulse system was verified via field experiments. Aiming at the random noise in the reconstructed mud pulse signal, Chen et al [58] proposed a wavelet threshold denoising method based on a new power threshold function. Simulation results showed that combining the standard Kalman filtering method with the power wavelet denoising algorithm achieved optimal overall performance for a linear time-invariant pump noise model.…”
Section: Wavelet Transformmentioning
confidence: 99%