Abstract:When there are both serious seismic data statics problem and low signal to noise ratio, the static correction problem will be restricted to improve the effect of signal-to-noise ratio seriously, and the low SNR will lead to static correction problems which cannot be solved seriously. They form a kind of coupling relation, and seriously affect the effect of imaging data. In order to solve the complex surface conditions of low SNR data static correction problem, the suitability of the refraction tomographic static correction and tomographic static correction have been analyzed, and tomographic static correction fusion technology has been put forward. Applicability of the commonly used model in the production of iterative residual static correction and non surface consistent residual static correction method have been analyzed. Comprehensive residual static correction technology based on Monte Carlo model constrained maximum residual static correction and residual static correction energy has been put forward. A set of effective solution to low SNR data static correction processing technology have been explored. Taking the low signal-to-noise ratio (SNR) data of severe static correction in YE area as an example, the effectiveness of the proposed static correction technique is verified.