High-frequency compensation for seismic data based on adaptive generalized S transform

基于自适应广义S变换的地震资料高频补偿方法研究

The low-pass fi ltering eff ect of the Earth results in the absorption and attenuation of the high-frequency components of seismic signals by the stratum during propagation.Hence,seismic data have low resolution.Considering the limitations of traditional high-frequency compensation methods,this paper presents a new method based on adaptive generalized S transform.This method is based on the study of frequency spectrum attenuation law of seismic signals,and the Gauss window function of adaptive generalized S transform is used to fi t the attenuation trend of seismic signals to seek the optimal Gauss window function.The amplitude spectrum compensation function constructed using the optimal Gauss window function is used to modify the time-frequency spectrum of the adaptive generalized S transform of seismic signals and reconstruct seismic signals to compensate for high-frequency attenuation.Practical data processing results show that the method can compensate for the high-frequency components that are absorbed and attenuated by the stratum,thereby eff ectively improving the resolution and quality of seismic data.

由于大地的低通滤波作用,地震信号的高频成分在传播过程中被地层吸收衰减导致地震资料的分辨率不高,针对传统高频补偿方法的局限性,本文提出了一种基于自适应广义S变换的高频补偿新方法。该方法在研究地震信号频谱衰减变化规律的基础上,通过自适应广义S变换的高斯窗函数对地震信号的衰减趋势进行拟合来寻求最优高斯窗函数,利用最优高斯窗函数构造的振幅谱补偿函数对地震信号的自适应广义S变换时频谱进行加权修正并重构地震信号,以补偿高频衰减信息。实际资料处理结果表明,利用该方法补偿地层吸收衰减的高频成分具有明显的效果,能够有效地提高地震资料的分辨率,改善地震资料的品质。