Research on Parallel Inverse Q Filtering Methods for Seismic Wave Energy Compensation

doi:10.11885/j.issn.1674-5086.2021.02.03.03

Abstract

Abstract: In seismic data processing of petroleum exploration, the inverse Q filtering method can effectively perform amplitude compensation and phase correction on seismic waves to provide more accurate information for seismic inversion and reservoir prediction. In large-scale seismic data processing, the inverse Q filtering method takes longer operation time under the CPU computing platform, which affects the efficiency of seismic interpretation. After analysis, it is found that the inverse Q filtering method consumes a lot of time in the short-time Fourier transform and calculates the amplitude and dispersion compensation terms. On the GPU platform, we first parallelizes the amplitude and dispersion compensation calculations, and accelerates the batch short-time Fourier transform with the CUFFT library, and then further optimizes the batch short-time Fourier transform and applies it to the inverse Q filtering method. The results show that compared with the CPU computing environment, the efficiency of the inverse Q filtering parallel algorithm based on the CUFFT library is improved by 3.9 times, and the optimized batch short-time Fourier transform further improves the efficiency of the parallel inverse Q filtering method by 12%.

Key words: Inverse Q filtering, amplitude compensation, Fourier transform, parallel computing, CUDA

CLC Number:

TE132
P631

ZHANG Quan, WANG Yipin, ZHANG Wei, PENG Bo, XU Lin. Research on Parallel Inverse Q Filtering Methods for Seismic Wave Energy Compensation[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2023, 45(1): 24-32.

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