Prestack seismic random noise attenuation with a hyperbolic Radon-ASVD
Xu Yankai1, Cao Siyuan1,2, He Yuan3
1. College of Geophysics and Information Engineering, China University of Petroleum (Beijing), Beijing 102249, China;
2. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Beijing 102249, China;
3. Exploration and Development Research Institute, Liaohe Oilfield Company, PetroChina, Panjin, Liaoning 124010, China
Abstract：The singular value decomposition (SVD) is commonly used to suppress random noise in seismic. However the method does not work effectively when the distribution of noise is not uniform. Therefore,this paper puts forward an approach combining hyperbolic Radon transformation and the adaptive singular value decomposition (ASVD). Firstly prestack seismic data is analyzed with the hyperbolic Radon transform. The effective reflection position and velocity can be extracted. Then the entire prestack seismic data is segmented into several small spatial sections,and these sections data are rectified by non-stretch dynamic corrections. After that they are processed by the ASVD. Finally denoised data is reconstructed. Synthetic and field data examples reveal the effectiveness of the proposed approach for seismic data with non-uniform noise.
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