Drilling needs to master the drilling process, and identify the stratum in real time, which is a key factor in improving the drilling efficiency. According to the bit excited in the layers with different characteristics of the vibration signal, the paper put forward correlation function-wavelet transform analysis. Cross-correlation will be used to extract the delay information of pre-sentence level or target level, and time-frequency components are extracted by using multi-resolution analysis of wavelet to determine the stratum in real time. Both simulations and experimental research prove that cross-correlation-wavelet transform can accurately characterize the time delay and time-frequency information, and forecast bit drilling situation and information, has high accuracy of real-time and some practical value in improving the efficiency.%钻探工程中实时掌握钻头钻进过程且能实时诊断地层是提高钻探效率的关键因素之一.基于钻头在不同介质层激发的振动信号特点,提出互相关-小波变换分析法,将互相关用于提取预判层或目标层的时延信息,并利用小波变换对互相关域进行多分辨率分析,提取凸显成分时频特征,据此快速识别地层.仿真分析和试验均表明:互相关-小波变换分析能准确地表征时延信息和时频特征,能实时地预测钻头钻进情况并获取地层信息,具有很强的实时性和准确率,在提高现场钻探效率中有一定的实用价值.
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