地震波能量补偿的并行反Q滤波方法研究

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

在石油勘探地震资料处理中,反Q滤波方法能有效地对地震波进行振幅补偿和相位校正,为地震反演和储层预测提供更准确的信息。对于大规模的地震道集数据处理,反Q滤波方法在CPU计算平台上执行时间较长,影响了地震解释的效率。分析发现,反Q滤波方法大量时间消耗在振幅相位补偿与短时傅里叶变换。在GPU平台上,首先,对振幅相位补偿部分进行并行化;其次,对批量短时傅里叶变换用CUFFT库进行加速;最后,对批量短时傅里叶变换进一步优化并将其应用于反Q滤波方法。实验结果表明,相比CPU计算环境,基于CUFFT库的反Q滤波并行算法效率提升了3.9倍,优化后的批量短时傅里叶变换进一步将效率提升了12%。

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%.