CAJ | 학술논문

为了提取出无线随钻测量中的钻井液脉冲信号并正确识别，对钻井液脉冲信号有效提取算法进行了研究。采用形态滤波算法来提取钻井液脉冲信号，运用膨胀与腐蚀运算来设计信号形态滤波器；在此基础上，根据曼彻斯特编码井下信号同步的特点，提出了一种基于周期内信号等份分割来精确分辨钻井液脉冲信号开始时刻的算法；采用模式相似度的波形识别算法，用来识别钻井液脉冲信号。仿真分析表明，运用形态滤波算法能有效提取出微弱的钻井液脉冲信号，能够提取去信噪比为20 dB的钻井液脉冲信号；运用模式相似度波形识别算法能有效对曼彻斯特编码的钻井液脉冲信号进行识别，能够对0.0345～0.0690 M Pa的微弱脉冲信号进行识别，识别出来的比特流数据分析表明，采用该识别算法的误码率低于1.5％。研究结果表明，形态滤波算法和模式相似度波形识别算法能精确地提取和识别出钻井液脉冲信号，提高解码正确率，满足工程应用的要求。
위료제취출무선수찬측량중적찬정액맥충신호병정학식별，대찬정액맥충신호유효제취산법진행료연구。채용형태려파산법래제취찬정액맥충신호，운용팽창여부식운산래설계신호형태려파기；재차기출상，근거만철사특편마정하신호동보적특점，제출료일충기우주기내신호등빈분할래정학분변찬정액맥충신호개시시각적산법；채용모식상사도적파형식별산법，용래식별찬정액맥충신호。방진분석표명，운용형태려파산법능유효제취출미약적찬정액맥충신호，능구제취거신조비위20 dB적찬정액맥충신호；운용모식상사도파형식별산법능유효대만철사특편마적찬정액맥충신호진행식별，능구대0.0345～0.0690 M Pa적미약맥충신호진행식별，식별출래적비특류수거분석표명，채용해식별산법적오마솔저우1.5％。연구결과표명，형태려파산법화모식상사도파형식별산법능정학지제취화식별출찬정액맥충신호，제고해마정학솔，만족공정응용적요구。
In order to extract the useful weak pulse signal in drilling fluids and recognize it while log-ging during the implementation of MWD ,an effective extraction and algorithm for pulse signal was stud-ied .The morphological filtering algorithm has been used to extract the pulse signal from drilling fluids ,u-sing the expansion and corrosion a lgorithm to design the signal morphology filter .According to the syn-chronous characteristics of the downhole signal with Manchester encoding ,an algorithm based on a signal equal segmentation in cycle to recognize the time when starting showing pulse signal in drilling fluids accu-rately was presented .A waveform recognition algorithm with a pattern similarity was used to identify the pulse signal in drilling fluids .Simulation results showed that a morphological filtering algorithm can effec-tively extract the pulse signal from drilling fluids ,the pulse signal that has signal-to-noise ratio of 20 dB can be extracted .The application of pattern-similarity waveform recognition algorithm can recognize effectively the pulse signal in drilling fluids based on Manchester encoding ,the recognition range of weak pulse signal from 0.034 5 M Pa to 0.069 0 M Pa .According to the statistics and analysis of bit stream data ,the identifi-cation algorithm can make the error rate less than 1.5% .The results showed that a morphological filtering al-gorithm and a pattern-similarity waveform recognition algorithm can accurately extract and recognize the pulse sig-nal in drilling fluids ,improve decoding accuracy ,and meet the requirements of engineering applications .