1. Exploration and Development Research Institute of PetroChina Xinjiang Oilfield Company,Karamay 834000,China 2. Institute of Geophysics,China University of Petroleum (Beijing) ,Beijing 102249,China 3. CNPC Geophysical Key Laboratory,China University of Petroleum (Beijing),Beijing 102249,China 4. Data Company Information Institute of PetroChina Xinjiang Oilfield Company,Karamay 834000,China 5. Xingang Branch Company of PetroChina Xinjiang Oilfield Company,Karamay 834000,China
In view of the problem of residual signal (also known as energy leakage) in the noise profile of the existing conventional denoising method in the parameter selection,this paper proposes the energy leakage recovery method of adaptive K-SVD to achieve effective recycling of signals.Firstly,a high-quality sample is obtained by using traditional methods such as wavelet threshold and fx domain denoising to perform dictionary construction,and then the correlation coefficient matching criterion is introduced to sparsely decompose the residual profile so as to realize the secondary separation of random noise and residual effective signal.The experimental results show that the proposed algorithm can better balance the denoising and amplitude preservation of seismic signals and has adaptability.
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