Abstract
Continuous wave (CW) mud pulse telemetry technology has high-speed real-time data transmission that is widely used in real-time drilling and logging data measurements. It is important to effectively eliminate the strong pump noise with frequency-variant in the mud channel and extract the extremely weak signal which carries downhole information. In this paper, an adaptive noise cancellation (ANC) system for mud channel signal processing is designed based on main and auxiliary dual sensors. In addition, an improved variable step-size adaptive iteration algorithm is proposed with a faster convergence rate. This algorithm can dynamically optimize the noise cancellation output of the mud channel by adjusting the step size according to the correlation between noise and signal. The simulation experiment results show that the proposed system successfully extracts weak signals in strong pump noise conditions with a faster convergence rate.
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