Abstract
Summary This paper presents a random noise reduction method based on ensemble empirical mode decomposition (EEMD) and wavelet threshold filtering. Firstly, the frequency band range of effective signal and noise in the initial seismic data set are studied by the Fourier spectrum analysis method. Secondly, we make use of EEMD method on the initial seismic data set to obtain the intrinsic mode functions (IMFs) of each trace. Then, wavelet threshold noise reduction method is used on the high frequency IMFs of each trace to obtain the new de-noising high frequency IMFs. Finally, by adding the new high frequency IMFs on the low frequency IMFs and the trend item together we obtain the de-noising seismic data set. When applying our method on synthetic and field data sets we can get good results.
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