Abstract:In areas with complex surface conditions, static corrections are vital for seismic imaging, especially when data is low signal-to-noise ratio (SNR). Although many static corrections methods available, but how to use these methods to solve statics problems for low SNR data still needs further study. For this reason, we choose a project of low SNR data in a mountainous area to carry out the research of integrated static corrections. Through a series of experiments and comparisons, a set of static corrections methods for low SNR is summarized. First of all, the best datum statics are determined by tomographic static corrections and refraction wave static corrections. Then with different residual static corrections methods, statics of valleys and erosion areas are solved by iteration, and the precision of static corrections is obviously improved. Real data processing results show that our integrated static corrections improve significantly seismic imaging quality.
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