3D pre-stack coherent noise suppression with orthogonal polynomial fitting
Zou Meng1,2, Feng Minfu2, Zhang Hua3, Zhu Rui2, Luo Kun2, Li Luming1
1. College of Geophysics, Chengdu University of Technology, Chengdu, Sichuan 610059, China; 2. College of Mathematics, Sichuan University, Chengdu, Sichuan 610065, China; 3. CCDE Geophysical Prospecting Co., CNPC, Chengdu, Sichuan 610213, China
Abstract:Coherent noise on 3D pre-stack seismic data is generally hyperbolic, which is different from linear coherent noise on 2D pre-stack seismic data. So 3D coherent noise cannot be denoised by conventional 2D coherent noise denoiseing method. Here we propose an approach for 3D pre-stack coherent noise suppression with orthogonal polynomial fitting. We first fit linear and hyperbolic coherent noise with bivariate orthogonal polynomial fitting. Then we use the weighted average method to suppress coherent noise in their temporal and special directions. With no spectrum excision, this approach preserves all of the spectral information. Tests on model and real data show that this method can well remove both linear coherent noise on 2D pre-stack data and hyperbolic coherent noise on 3D pre-stack data.