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在石油钻井过程中,钻柱振动对钻头和钻柱有害,甚至导致钻具失效.研究近钻头振动数据规律可以减少非生产时间(NPT),提高钻井效率.用功率谱密度和小波变换来分析振动信号,与正常钻进情况进行比较,找出粘滑特征.结果 表明,当发生粘滑时,横向振动的平均值波动很大,表明粘滑振动主要基于扭转振动.从功率谱密度分析的角度来看,单位频率的能量大于正常钻进时的状态.此外,在粘滑时频域中存在与正常钻井不同的明显峰值.可帮助司钻优化钻井参数,提高钻井速度(ROP)并降低钻井成本.“,”During oil drilling process,drill string vibrations are detrimental to the bit and drill string,which even causes failure of equipment.Researches show that,studying the law of near bit vibration data can reduce non-production time (NPT) and improve drilling efficiency.This paper uses power spectral density and wavelet transform to analyze vibration signals,then compares with normal drilling situation to find out stick slip characteristics.The results show that,when stick slip occurs,the mean value of lateral vibration fluctuates greatly,which indicates stick slip is mainly based on torsional vibration.From the perspective of power spectral density analysis,the energy of the unit frequency is bigger than normal drilling.Moreover,there is a distinct peak different from that in normal drilling in time frequency domain.Therefore,it is expected that the results can help the driller optimize drilling performance and increase the rate of penetration (ROP) and decrease drilling cost.