现有的许多偏移方法均不能同时解决偏移中两个最重要的问题,即陡倾角成像和具有任意方向速度变化的介质的成像。例如,相移法偏移几乎能精确地适用于任意角度的偏移,但它的局限性是速度函数必须很简单。另一方面,以单程波动方程为基础的有限差分法适用于任意的速度函数,但陡倾同相轴能量受到压制。本文提出一种混合偏移方法,称之为傅氏有 Many existing migration methods can not simultaneously solve two of the most important problems in migration: steep-dip imaging and imaging of media with variable velocity in any direction. For example, the phase shift offset can be applied almost exactly to any angle offset, but its limitation is that the speed function must be very simple. On the other hand, the finite difference method based on the one-way wave equation is suitable for arbitrary velocity functions, but the steep dipping energy is suppressed. This paper presents a hybrid offset method, called Fourier’s