井资料约束的地震资料高频恢复

Seismic high frequency information recovery constrained by well data

本文提出一种利用井震频谱关系恢复地震资料的高频信息、拓展带宽、提高分辨率的方法。首先利用匹配追踪方法提取井资料中地面地震数据能恢复频段的信息;然后利用高斯振幅谱拟合算法得到与井资料和地面地震资料振幅谱对应的稳定振幅谱,并在频率域建立高斯拟合振幅谱之间的映射关系,同时加入柯西约束项以增加此算法的稳定性;最后将此映射关系应用到整个地震数据体,进行频带拓宽处理,在保存原信号的前提下,增强了高频弱信号的能量,从而提高地震资料识别薄层的能力。应用结果表明,经频带拓宽处理后的地震数据可以获得比原始地震数据更高分辨率的地层参数反演剖面,证明了该方法是识别薄层及其他复杂储层的有效手段。

We propose in this paper a method to recover high-frequency information of surface seismic data and improve the resolution using the spectral relationship between well data and seismic data.Firstly we extract surface seismic recoverable bandwidth from the well data with the matching pursuit algorithm.Then we obtain the stable amplitude spectra of the well data using the Gaussian amplitude spectra fitting algorithm.Therefore,we build the mapping relationship between Gaussian fit spectra in the frequency domain,and add Cauchy constraint item to increase the stability of the algorithm.Finally we apply the mapping relationship to the entire seismic data to broaden the bandwidth.So we enhance the energy of high-frequency weak signal and improve thin bed identification on seismic data.Application results show that the proposed method can not only obtain broader band but also higher resolution seismic information.Sothin bed and complex reservoir identification can easily be achieved on formation parameter inversion sections on this kind of seismic data.