引言 石油公司逐渐开始对地质条件复杂、速度变化强烈的地区进行勘探,然而利用这些地区的叠加资料和时间偏移资料却无法解释出清晰的含烃构造。为提高时间偏移资料的质量,在叠前或叠后,都要对3D资料进行以波动方程为基础的深度偏移。大多数深度偏移算法都是以声波方程为基础的基尔霍夫近似法和相移近似法。基尔霍夫近似法主要根据射线追踪,但是当射线 Introduction Oil companies are gradually beginning to explore areas with complex geological conditions and rapid changes in velocity. However, the use of superimposed data and time migration data in these areas can not explain the clear hydrocarbon-bearing structures. In order to improve the quality of time-shifted data, 3D data should be subjected to wave-based depth migration before or after stacking. Most depth migration algorithms are based on the acoustic equation based Kirchhoff approximation and phase shift approximation. Kirchhoff’s approximation is based mainly on ray tracing, but when ray