Efficient anti-aliasing and anti-leakage Fourier transform for high-dimensional seismic data regularization using cube removal and GPU  

作　　者：Lu Liu Sindi Ghada Fu-Hao Qin Youngseo Kim Vladimir Aleksic Hong-Wei Liu 

机构地区：[1]Aramco Research Center-Beijing,Beijing,100102,China [2]KAUST Research Center Group,Saudi Aramco,Thuwal,23955-6900,Saudi Arabia [3]EXPEC Advanced Research Center,Saudi Aramco,Dhahran,31311,Saudi Arabia [4]Geophysical Imaging Department,Saudi Aramco,Dhahran,31311,Saudi Arabia [5]National Key Laboratory of Deep Oil and Gas,China University of Petroleum(East China),Qingdao,266580,Shandong,China

出　　处：《Petroleum Science》2024年第5期3079-3089,共11页石油科学（英文版）

摘　　要：Seismic data is commonly acquired sparsely and irregularly, which necessitates the regularization of seismic data with anti-aliasing and anti-leakage methods during seismic data processing. We propose a novel method of 4D anti-aliasing and anti-leakage Fourier transform using a cube-removal strategy to address the combination of irregular sampling and aliasing in high-dimensional seismic data. We compute a weighting function by stacking the spectrum along the radial lines, apply this function to suppress the aliasing energy, and then iteratively pick the dominant amplitude cube to construct the Fourier spectrum. The proposed method is very efficient due to a cube removal strategy for accelerating the convergence of Fourier reconstruction and a well-designed parallel architecture using CPU/GPU collaborative computing. To better fill the acquisition holes from 5D seismic data and meanwhile considering the GPU memory limitation, we developed the anti-aliasing and anti-leakage Fourier transform method in 4D with the remaining spatial dimension looped. The entire workflow is composed of three steps: data splitting, 4D regularization, and data merging. Numerical tests on both synthetic and field data examples demonstrate the high efficiency and effectiveness of our approach.

关 键 词：High-dimensional regularization GPU ANTI-ALIASING ANTI-LEAKAGE 

分 类 号：P631.44[天文地球—地质矿产勘探]