Abstract：Mountainous areas data is characterized by complex surface and subsurface geological conditions,and relatively low signal-to-noise ratio (SNR).Three problems need to be solved in this kind of areas:①Establishing exact near-surface velocity model to improve the statics accuracy;②Using various denoising methods to improve the SNR step by step while protecting signals; ③Combing geological knowledge to build velocity model,and improving the velocity field and the migration quality.A processing flow based on improving statics accuracy,SNR,and imaging quality is formed on GeoEast Processing Sub-system.The main steps are as follows:①Accurately inversing the near-surface velo-city model with high-frequency statics fusion of variable-replacement velocities,and improve the accuracy of high-frequency statics;②Improving the SNR gradually by multi denoising methods;③According to different structural parts,building multi-information constrained velocity model to improve the velocity field accuracy and ensure target accurate imaging.
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