Studies on anti-aliasing reconstruction method for irregular seismic data
Gao Jian-jun1,2, Chen Xiao-hong1,2, Li Jing-ye1,3, Zhang Nan-nan1,2, Liu Zhi-peng1,2
1. State Key Laboratory of Petroleum Resources and Prospecting,China University of Petroleum,Beijing City,102249,China;
2. CNPC Key Lab of Geophysical Prospecting,China University of Petroleum,Beijing City,102249,China;
3. Education Ministry Key Lab of Oil&Gas Accumulation Mechanism,China University of Petroleum,Beijing City,102249,China
Abstract:It is well-known fact that the irregularly sampled seismic data (call irregular seismic data thereafter) will seriously affects the data processing quality for multi-channel seismic data processing.In this paper the single-step predictive filtering was expanded to multi-step predictive filtering on which step by step and anti-aliasing reconstruction method was realized.At first the band-limited Fourier reconstruction method was applied to reconstruct irregular seismic data,and the frequency spectrum for alias-free low frequency data was estimated,and then by utilization of construction of the known data and predictive filtering factor the frequency spectrum of the full data was obtained,and at last anti-aliasing reconstruction for irregular seismic data was realized.The theory model and processing for field data proved the validity of the method.