An identification method of vibration signal features when bit drills different mediums

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Journal of Vibration and Shock ›› 2017, Vol. 36 ›› Issue (8) : 71-78.

LIU Gang1,ZHANG Jialin1, LIU Chuang2, YANG Fan3, DU Jiacheng1

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Abstract

As a bit breaks rock into small cuttings,a series of vibrations are produced which can reflect the real-time types of drilling lithology.An identification method of vibration signal features was brought forward to monitor drilling mediums.An experiment was carried out to break rocks using a roller bit,and then sound and vibration signals were acquired by drilling clay,shale,cement and casing under three different pressures.According to time domain and frequency domain analysis,bit signal characteristics were extracted and fifty eigenvalues were got.Then the PCA dimensionality reduction algorithm was applied to reduce eigenvalues dimensions,getting feature vectors and create bits “fingerprint” of each drilling case.Eventually,A BP neural network was applied to cluster bits “fingerprint” for drilling case recognition.The results indicate that with the aid of the method,bits signals can differentiate drilling formation and wellbore materials,such as casing and cement.The research provides technical support to drilling lithology identification during borehole anti-collision monitoring.

Key words

vibration signals / drilling lithology / feature recognition / PCA dimensionality reduction / BP neural network

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LIU Gang1,ZHANG Jialin1, LIU Chuang2, YANG Fan3, DU Jiacheng1. An identification method of vibration signal features when bit drills different mediums[J]. Journal of Vibration and Shock, 2017, 36(8): 71-78

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