作者在地表一致性模型的基础上研制出一种基于三维层析成像反演的三维层析静校正方法。适用于宽线、弯线、传统的二维和目前广泛使用的三维勘探。在地形及低降速带地质结构复杂的探区 ,低降速带厚度及速度估算的精度是静校正处理的关键。本文根据三维地震观测的初至走时数据 ,利用最小平方与 QR分解相结合的算法在三维空间重建低降速带速度模型 ,根据重建速度模型实现了静校正长波长分量与短波长分量的同步计算。在初至走时观测数据的拾取方面 ,采用分形算法克服了初至波波形差异以及折射波相位反转等问题导致的拾取误差 ,实现了三维初至拾取的大规模全自动化运算。野外实际资料的处理结果表明 ,本文提出的三维层析静校正方法是非常有效的 Based on the model of surface consistency, the author developed a three-dimensional tomography static correction method based on three-dimensional tomography inversion. For wide lines, curved lines, the traditional two-dimensional and widely used three-dimensional exploration. The precision of low velocity zone thickness and speed estimation in the exploration area with complex geologic structures in the terrain and low-velocity zone is the key to static correction. Based on the first-arrival time-of-flight data of 3D seismic observations, this paper reconstructs the low-velocity-velocity model in three-dimensional space by using a combination of least squares and QR decomposition. Simultaneously, the static correction of long-wavelength and short- . In the aspect of pick-up of the first-arrival data, the fractal algorithm is used to overcome the pick-up error caused by the difference of the first-arrival waveform and the phase reversal of the refracted wave, and the large-scale fully automated operation of three-dimensional first arrival picking is realized. The field actual data processing results show that the proposed three-dimensional tomography static correction method is very effective