A monitoring signal denoising algorithm of eddy current for outer casing pipe of double-layer pipe

Yourong Chen; Jiaye Shi; Heli Jin; Zhangquan Wang; Banteng Liu; Ying Zhou

doi:10.1117/12.2612322

4 October 2021 A monitoring signal denoising algorithm of eddy current for outer casing pipe of double-layer pipe

Yourong Chen, Jiaye Shi, Heli Jin, Zhangquan Wang, Banteng Liu, Ying Zhou

Proceedings Volume 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021); 119290A (2021) https://doi.org/10.1117/12.2612322
Event: International Workshop on Automation, Control, and Communication Engineering, 2021, Virtual Event, China

Abstract

To effectively remove the complex noise in the pulsed eddy current signals of downhole double-layer pipe, we propose a monitoring signal denoising algorithm (MSDA) of eddy current for outer casing pipe of double-layer pipe. First, we analyze the noise component of the eddy current detection signal, which comes from the electromagnetic detection instrument MTD-J that detect the double-layer pipe of a high sulfur gas field. Then we establish the noise model to describe the noise and design a deep neural network model to obtain the noise model parameters. Finally, we use the noise model to denoising the noise of the eddy current detection signal. Experimental results show that MSDA improves the SNR. It is better than Wavelet denoising (WD) and Empirical Mode denoising (EMD).

Citation Download Citation

Yourong Chen, Jiaye Shi, Heli Jin, Zhangquan Wang, Banteng Liu, and Ying Zhou "A monitoring signal denoising algorithm of eddy current for outer casing pipe of double-layer pipe", Proc. SPIE 11929, International Workshop on Automation, Control, and Communication Engineering (IWACCE 2021), 119290A (4 October 2021); https://doi.org/10.1117/12.2612322

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KEYWORDS

Interference (communication)

Denoising

Signal to noise ratio

Data modeling

Signal detection

Electromagnetism

Statistical modeling

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