基于虚拟现实技术的钻具组合运动反演研究

Inversion of Bottomhole Assembly Motion Based on Virtual Reality Technology

井下振动信号采集过程的不同时间段均会产生大量新的噪声,滤波仅能起到一定的效果;为了减弱其他时间段噪声对当前时间段振动积分的干扰,在直接频域积分的基础上提出滑动窗口积分的方法,构建单自由度振动模型,增加窗口大小以增加窗口内噪声数量,分析窗口大小与振动积分精度的关系;选用适合的窗口大小,分别用滑动窗口积分和直接时频域积分重建位移,与实际位移对比分析。研究结果表明,滑动窗口积分优于直接时频域积分的位移重建能力,且窗口越大,窗口内噪声数量越多,位移重建精度越差。构建虚拟现实地下场景,将滑动窗口积分应用于井下振动信号的位移重建,以重建的位移数据与其他数据共同驱动底部钻具组合运动,实现基于虚拟现实技术的底部钻具组合运动反演研究。研究结果对完善虚拟钻井平台的建设具有一定的指导意义。

A large number of new noises will be generated at different time periods during the downhole vibration signal acquisition process,and filtering can only play a certain role.In order to reduce the interference of noise from other time periods on the vibration integration of the current time period,on the basis of direct frequency domain integration,sliding window integration was proposed.Then,a single-degree-of-freedom vibration model was established,the window size was increased to increase the amount of noises inside the window,and the relationship between window size and vibration integration accuracy was analyzed.Finally,appropriate window size was selected,and sliding window integration and direct time-frequency domain integration were used to reconstruct the displacement respectively,which was then compared and analyzed with the actual displacement.The research results show that the sliding window integration is superior to the direct time-frequency domain integration in displacement reconstruction.The larger the window,the more noise inside the window,the poorer the displacement reconstruction accuracy is.By means of constructing a virtual reality underground scene,applying the sliding window integration to the displacement reconstruction of downhole vibration signals,and using the reconstructed displacement data and other data to jointly drive the motion of bottomhole assembly,the inversion research of the bottomhole assembly motion based on virtual reality technology is realized.The research results have certain guiding significance for improving the construction of virtual drilling platforms.