Logging data is considered to be prior information which is fairly accurate and reliable.The utilization of the logging velocity information in the tomographic inverse function system can enhance the precision and efficiency;Nevertheless,it fails to describe the small-scale targets exactly.In view of such a situation,the authors propose a high-precision tomography velocity inversion method based on the well data constraint in this paper.First,the traditional well data constraint tomography velocity inversion is performed.Under the presumption that he velocity of grids in the well position remains the same,the inversion function is establishd based on the well data constraint,the velocity field is updated,and the primary migration image is updated.Second,the logging velocity is used to restrain the migration depth,process velocity analysis and perform precise modeling,thus improving the modeling accuracy greatly.At the same time,the number of the inversion iteration is reduced and the precision is improved.Examples from the synthetic dataset and field data processing demonstrate the feasibility and validity of this method compared with traditional tomography velocity inversion and waveform inversion.