【摘要】 消除动校正拉伸影响对改善地震数据的分辨率、提高地震数据振幅的保真度具有十分重要的意义。动校正拉伸是地震资料处理的一个基本问题,解决拉伸问题的处理方法是切除。现代地震数据大多为长排列采集,动校正拉伸更为严重。本文研究动校正拉伸系数的计算,依据Fourier变换的基本性质形成消除动校正拉伸畸变的方法。算法实现是将CMP道集变换到频率域,取无拉伸的零偏移距道为参考道,求取非零偏移距道相对于零偏移道的拉伸系数,在频率域实现拉伸畸变校正。更多还原

【Abstract】 Removal of NMO correction lengthening is of great importance to the improvement of resolution and amplitude fidelity of seismic data.Normal moveout(NMO)stretch is a fundamental problem in seismic data processing,muting is one of attempts to solve NMO stretch.The long offset is adopted in modern seismic acquisition,therefore NMO stretch is more severe in seismic processing.The compression can be defined by a constant factor αx,which is proposed in this paper based on convolutional model and the properties of Fourier transform,and remove the NMO stretch.Transforming the CMP to temporal frequency domain,and taking the minimum-offset-trace as reference trace and getting the constant factor,then We can get correction seismic profiles after inverse Fourier Transform.更多还原