基于分段平均周期图的泥浆脉冲信号滤波方法

Digital Filtering Method of Mud Pulse Signal Based on the Average Segmentation Periodogram

由于受到泥浆泵脉动、钻具震动等因素的干扰,井口立管采集到的随钻测量信号包含大量的干扰和噪声,严重影响信号解码后的正确性。首先对传输信道中产生干扰和噪声的因素进行分析,指出导致泥浆有用信号被淹没而无法识别其频率范围的原因,基于分段平均周期图法确定有用信号的频率范围,计算出最优的Hamming窗的窗口长度,并利用Hamming数字滤波器对随钻测量信号进行滤波并解码。通过对大港油田实测数据的仿真实验证明,该方法具有良好的滤波效果,误码率很低。

Under the influences of the mud pump pulsation, the drill MWD signal collected by the riser would be completely lost within a lot ously influence the reliability of the signal decoding. Firstly, the factors the transmission channel are analyzed, the reasons that the MWD signal string vibration and other factors, the of interference and noise. It would seri- of interference and noise generated in is submersed and the frequency range can not be identified, are pointed out. The average periodogram method is used to determine the frequency range of the mud pulse signal, then the optimal window length of Hamming filter is computed, and the MWD signal is filtered by Hamming digital filter. The simulation experiment based on measured data from Dagang oil field shows that the method has perfect filtering effect and low error rate.