Abstract：Foreland basins in central and western regions of China are rich in oil and gas resources,but their complex nearsurface structures which cause illegible first break lead to serious statics corrections problem,and hamper accurate imaging of subsurface geologic structures. To tackle this problem,we propose in this paper a new tomographic inversion for static corrections. First,we obtain valid first breaks based on wavelet transform and Lipschitz exponent,and extract automatically first break times with the correlation algorithm. Then we search for the global optimum solution of nearsurface structures with a dual-scale inversion approach by combining BP neural network and LSQR. Finally,we calculate precise statics. Our tests on real seismic data from Keshen area in Ta-rim Basin prove the effectiveness of the proposed method.
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