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A Periodic Noise Separation Method Research Of Well Field Three-dimensional Drill String Vibration Signal

机译:井场三维钻柱振动信号的周期性噪声分离方法研究

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Periodic noise is an important manifestation of the drill string vibration signal noise. In order to extract the characteristics of the signals which reflect the situation of the tools in drilling, the periodic components which influence the original drill string vibration signal in the well field were researched and the independent component analysis algorithm which is on the basis of negative entropy for periodic vibration noise separation was adopted. At the same time, the effect of algorithm demixing was improved where periodic noise components which existed in three directions of drill string vibration signals were used, combining with the improved particle swarm optimization algorithm to seek the optimal mixed matrix by which the multi-channel mixed-signal of independent component analysis algorithm could be structured. This method in operation was fast. And after separation each signal was of high similarity. Through the experimental simulation, the method was proven effective in the drill string vibration periodic noise signal separation.
机译:定期噪声是钻柱振动信号噪声的重要表现。为了提取反映钻孔工具情况的信号的特性,研究了影响井场中的原始钻串振动信号的周期性分量,并基于负熵的独立分量分析算法采用周期性振动噪声分离。同时,改善了算法解解的效果,其中使用了在钻串振动信号的三个方向上存在的周期性噪声分量,与改进的粒子群优化算法组合以寻求多通道混合的最佳混合矩阵 - 独立分量分析算法的信息可以构建。这种操作方法快速。分离后,每个信号具有高相似性。通过实验模拟,该方法在钻柱振动周期噪声信号分离中被证明是有效的。

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