基于HHT方法的钻头振动信号识别

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振动与冲击 ›› 2015, Vol. 34 ›› Issue (12) : 212-218.

论文

基于HHT方法的钻头振动信号识别

刘刚，刘闯，夏向阳，徐加兴

作者信息 +

The identification and application of bit vibration singal based on Hilbert-Huang Transform method

Liu Gang ，Liu Chuang ，Xia Xiangyang ，Xu Jiaxing

Author information +

文章历史 +

摘要

钻头振动波方法进行丛式井防碰监测时，提出将HHT方法应用于钻头振动信号处理，应用峭度准则及互相关系数准则对钻头振动信号降噪，通过时频分析准确识别出海上复杂条件下的钻头振动信号。首先应用EMD（Empirical Mode Decomposition）分解可以将复杂环境下的钻头振动信号分解为固有模态分量，采用峭度准则、互相关系数准则筛选信号进行降噪处理获得主要冲击成分并重组信号，然后通过Hilbert变换得到边际谱和瞬时频率，判断不同通道的信号来源，提取主要公共频段作为钻头振动信号，根据滤波后信号的能量建立钻头趋近风险邻井的防碰模型，通过海上丛式井防碰的现场数据验证了该方法的有效性。

Abstract

Bit vibration wave is applied to cluster well anti-collision, in order to accurately identify the vibration signals of the drill bit, the HHT method is applied to the bit signal feature extraction, using the EMD decomposition can make bit vibration signal decomposed into intrinsic mode components(IMF), the Kurtosis criterion and Correlation coefficient is used to filter the main impact components and then restructures filtering signal. Marginal spectrum, instantaneous frequency and the three dimensional spectrum , obtained by Hilbert transform, is used to analize and compare to judge wheather the signals of differernt channels come from the same drill bit or not, extract the main public frequency range as the bit vibration signals, the bandpass filter is applied to the channel to extract bit vibration signal,according to the energy of the filtered signal to establish a bit approach to the risk well model, the proposed processing method was confirmed effective though real experiment data ayalysis on the offshore cluster well.

导出引用

刘刚,刘闯,夏向阳，徐加兴. 基于HHT方法的钻头振动信号识别[J]. 振动与冲击, 2015, 34(12): 212-218

Liu Gang,Liu Chuang,Xia Xiangyang,Xu Jiaxing. The identification and application of bit vibration singal based on Hilbert-Huang Transform method[J]. Journal of Vibration and Shock, 2015, 34(12): 212-218

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