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The challenges of deep mining arenot only the “three high and one disturbance”,but also kinds of pillars formed by overlying residualcoal seam and protect pillar of main district rise and dip especially in multi-coal seam which can lead to excessively high abutment stress.On this occasion dynamic disasters such as rock bursts and mining tremor are increasing sharply compared to shallow mining that severely threaten the safety and efficiency of resource recovery in deep collieries.Forecasting the distribution and evolution rules with mining advance is the key for dynamic disaster control.Based on the positive correlation between stress and velocity of seismic wave,we utilize the three dimensional passive tomography inversion of mining microseismicity to study the method for predicting the high stress zones.The classification model of high stress was established and the corresponding index also formulated based on theseismic velocity.Based on this model,the evolution of stress field with coal extraction was studied and the concentration area and degree were identified.At the same time we proposed a method and an evaluation model for testing the destress effect used seismic velocity inversion,therefore realized the active control of high stress zones and dynamic optimization of destress.The research results provide a basis and guide as well as heighten the accuracy andefficiency remarkably for prediction and control of dynamic disasters in deep coal mine,in field test and application have proved the excellent effects.