基于PLM编码的泥浆脉冲信号提取算法研究  

Research on MWD mud pulse signal extraction algorithm based on PLM encoding

作　　者：涂兵[1,2] 廖万强 王思成[1] 张晓飞[1] 王伟[1] 张国云[1,2] 

机构地区：[1]湖南理工学院信息与通信工程学院,岳阳414006 [2]湖南理工学院复杂系统优化与控制湖南省普通高等学校重点实验室,岳阳414006

出　　处：《电子测量与仪器学报》2015年第2期227-232,共6页Journal of Electronic Measurement and Instrumentation

基　　金：湖南省教育厅科研一般项目(14C0515);湖南理工学院科研(2014Y30)资助项目;湖南省高校科技创新团队支持项目(湘教通[2012]318号);湖南省高校产业化培育项目(13CY021)资助

摘　　要：无线随钻测量(measurement while drilling,MWD)中泥浆脉冲信号的提取和正确识别是石油钻井施工中的一个关键技术,它决定着石油钻井过程中井眼轨迹是否正确。对泥浆脉冲信号进行了数值模拟,阐明了它的信号特征。针对PLM(pulse location management)编码的泥浆脉冲信号提取和识别问题,采用二次相关去噪算法,对泥浆脉冲信号的噪声去除进行了研究;在此基础上,运用局部特征和波形特征识别相结合算法,对PLM编码的泥浆脉冲信号位置进行了准确识别;为泥浆脉冲信号的提取和准确识别奠定了基础。最后现场试验结果表明:该算法简单实用,符合工程应用要求。The extraction and correct recognition of mud pulse signal in Wireless Measurement While Drilling is a key technology in petroleum drilling process. It decides whether the well course in the petroleum drilling process is right or not. This paper carried out the numerical modeling of mud pulse signal and illustrated its signal feature. In terms of the extraction and recognition problem of mud pulse signal which was encoded in Pulse Location Management,it researched the noise removing in quadratic correlation de-noising algorithm. The location of mud pulse signal,encoded in PLM（ Pulse Location Management）,was discerned precisely by using the combinational algorithm of local feature and waveform character recognition and laid a foundation for the extraction and accurate recognition of mud pulse signal. Finally,the results of field investigation indicate that this algorithm is simple,useful and conforms to the requirements of engineering application.

关 键 词：随钻测量 泥浆脉冲信号 局部特征 波形特征 

分 类 号：TM733[电气工程—电力系统及自动化] TN911.6[电子电信—通信与信息系统]