随钻泥浆脉冲信号的提取与识别研究

Bing Tu, De Li, Enhuai Lin
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引用次数: 9

摘要

在无线测量钻井(MWD)中,通过泥浆脉冲信号实时传输井底数据。地面解码系统对泥浆脉冲信号的检测与识别是随钻测量的核心。然而,泥浆流体通道中存在泵浦噪声和机械振动噪声,严重影响信号的传递和识别。针对基于曼切斯特调制的脉冲信号识别,提出了相位特征识别算法。现场测试结果表明,该算法能够正确识别泥浆脉冲信号。该译码系统译码过程简单、实用,且可靠性高、概率低,能满足工程应用要求。
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Research on MWD mud pulse signal extraction and recognition
The well bottom data real time has been transmitted through mud pulse signal in Wireless Measurement Drilling(MWD). The ground of the decoding system to the mud pulse signal detection and identification is the core of the measurement while drilling. However, mud fluid channel has pump noise and mechanical vibration noise serious effect on signal transmission and identification. The paper proposes phase characteristics identification algorithm to the pulse signal identification based on Manchester modulation. Field test results show that this algorithm can correct recognition of mud pulse signal. The decoding system decode process is simple, practical, and has high reliability, low probability and can meet the engineering application requirements.
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