A signal processing method for continuous mud pressure wave signals in logging-while-drilling systems

IF 0.5 Q4 ENGINEERING, MULTIDISCIPLINARY

Journal of Computational Methods in Sciences and Engineering Pub Date : 2023-12-15 DOI:10.3233/jcm-226986

Yao Liang, Guanghong Du, Anzong Li, Wenhui Chen, Xiaojun Li, Yixiao Guo, Zhiguang Li

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引用次数: 0

Abstract

For signal transmission of mud pressure waves in logging-while-drilling systems, as more measurement parameters are adopted, the conventional signal transmission rate of approximately 1 bps cannot meet the requirements of parameter uploading. Transmission rates greater than 10 bps are widely used by current Chinese and international enterprises in their continuous wave transmission systems. Due to the increasing transmission rates, a conventional single-channel pressure sensor cannot effectively identify the key features of an original signal with a low signal-to-noise ratio at a high transmission rate. This issue results in a low success rate for pressure wave recognition and decoding. This paper addresses a method for the collection of pressure wave signals using multi-channel pressure sensors through the analysis of the signal transmission changes of mud pressure waves with well depths and echo interference caused by drilling rod reflection. In this research, numerical simulation and experimental verification were used to calculate the cross-correlations of the multi-channel signals to effectively remove interference noises such as reflective waves and improve the signal-to-noise ratio of the original signal. The results showed that this method could effectively improve the SNR after the wave filtering of the original pressure wave. The characteristics of the continuous mud pressure wave signals were analysed using a circulation test. A corresponding band-pass filter was designed to remove pump noises to restore the sinusoidal pressure wave signal required by the original transmission rules.

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边钻井边录井系统中连续泥浆压力波信号的信号处理方法

对于随钻测井系统中的泥浆压力波信号传输，随着测量参数的增多，传统的约 1 bps 的信号传输速率已不能满足参数上传的要求。目前国内外企业的连续波传输系统普遍采用大于 10 bps 的传输速率。由于传输速率越来越高，传统的单通道压力传感器无法在高传输速率下有效识别信噪比低的原始信号的关键特征。这一问题导致压力波识别和解码的成功率很低。本文通过分析泥浆压力波随井深的信号传输变化以及钻杆反射造成的回波干扰，提出了一种利用多通道压力传感器采集压力波信号的方法。该研究通过数值模拟和实验验证，计算多通道信号的交叉相关性，有效去除反射波等干扰噪声，提高原始信号的信噪比。结果表明，该方法能有效提高原始压力波滤波后的信噪比。利用循环试验分析了连续泥浆压力波信号的特性。设计了相应的带通滤波器来去除泵噪声，以恢复原始传输规则所要求的正弦压力波信号。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Computational Methods in Sciences and Engineering ENGINEERING, MULTIDISCIPLINARY-

CiteScore

0.80

自引率

0.00%

发文量

152

期刊介绍： The major goal of the Journal of Computational Methods in Sciences and Engineering (JCMSE) is the publication of new research results on computational methods in sciences and engineering. Common experience had taught us that computational methods originally developed in a given basic science, e.g. physics, can be of paramount importance to other neighboring sciences, e.g. chemistry, as well as to engineering or technology and, in turn, to society as a whole. This undoubtedly beneficial practice of interdisciplinary interactions will be continuously and systematically encouraged by the JCMSE.