摘要
There is little low-and-high frequency information on seismic data in seismic exploration,resulting in narrower bandwidth and lower seismic resolution.It considerably restricts the prediction accuracy of thin reservoirs and thin interbeds.This study proposes a novel method to constrain improving seismic resolution in the time and frequency domain.The expected wavelet spectrum is used in the frequency domain to broaden the seismic spectrum range and increase the octave.In the time domain,the Frobenius vector regularization of the Hessian matrix is used to constrain the horizontal continuity of the seismic data.It eff ectively protects the signal-to-noise ratio of seismic data while the longitudinal seismic resolution is improved.This method is applied to actual post-stack seismic data and pre-stack gathers dividedly.Without abolishing the phase characteristics of the original seismic data,the time resolution is signifi cantly improved,and the structural features are clearer.Compared with the traditional spectral simulation and deconvolution methods,the frequency distribution is more reasonable,and seismic data has higher resolution.
在地震勘探中,地震数据往往缺失低频及高频信息,导致频带宽度较窄,地震分辨率较低,严重制约了薄储层及薄互层的预测精度,本文提出了一种方法,在时间域及频率域分别进行约束提高地震资料的分辨率:在频率域,采用期望子波谱约束,对地震频谱范围拓宽,增加倍频程;在时间域,采用Hessian矩阵的Frobenius向量正则化约束地震资料的横向连续性,在有效提高地震纵向分辨率的同时,保护了地震资料的信噪比。本方法应用于实际叠后地震资料及叠前道集,在不破坏原始地震资料相位特征的情况下,时间分辨率得到明显提升,构造特征更加清晰,与传统的谱模拟方法及反褶积方法相比,频率分布更加合理,分辨率更高。
基金
supported by the PetroChina Prospective,Basic,and Strategic Technology Research Project(No.2021DJ0606).
