在二维共中心点(CMP)地震数据采集中,可以大大地衰减地滚波.在理想的条件下,如果注意调整野外测量的几何形态而使求和 CMP 道集中的道构成的长阵列(即叠加排列)是连续的和均匀加权的,则实际上就能够将地滚波从叠加数据中消除.我们在这篇文章中应用人工合成野外数据以便通过叠加排列能够达到确定信噪比改善的数量。并确定作为正常时差校正(NMO)的这种处理步骤是否影响叠加排列的有效性.我们证明,当叠加排列的有益效应因 NMO 校正、炮检耦合变化,以及静校正而有所减弱时,导致叠加排列不连续的和不均匀的加权的采集排列形态的负效应增强.我们也将排列 In two-dimensional co-centered point (CMP) seismic data acquisition, the roll-off can be greatly attenuated. Under ideal conditions, if attention is paid to adjusting the geometries of the field measurements so that the long array of channels in the summed CMP gather That is to say, the superposition and arrangement are continuous and uniformly weighted, the groundwave can be effectively eliminated from the superposition data.We apply artificially synthesized field data in this article so as to improve the signal-to-noise ratio Quantity. And to determine whether this processing step as normal time difference correction (NMO) affects the validity of the permutation arrangement.We show that when the beneficial effects of permutation permutations are attenuated by NMO corrections, gun test coupling changes, and static corrections Negative effects of additive and discontinuous and non-uniform weighted array patterns are enhanced. We will also arrange