WHILING DRILLING SEISMIC SIGNAL NOISE REDUCTION BASED ON EMD

摘要

Seismic whiling drilling (SWD) is a technology which takes the working drill-bit vibration as seismic source, acquiring the reflected wave to obtain the formation parameters in particular depth. Due to low signal to noise radio (SNR) of SWD and complicated wave field, the key technology of SWD signal processing is to extract effective signal from received signal obtained by the detector. In this paper, a SWD record model with Gaussian white noise and vibration signal is designed. This paper tries to use independent component analysis (ICA) as pretreatment process to separate the vibration signal from mixture signals and use empirical mode decomposition to reduce the Gaussian white noise and reconstitute SWD record. The results of simulation experiment verify the validity of the method.