Comparative analysis and application of integral noise suppression methods
Converting acceleration-domain seismic data into velocity-domain seismic data using numerical integration introduces integration noise,which adversely impacts subsequent seismic data processing.This paper initially analyzes the reasons for integration noise in both time-domain and frequency-domain integration.It then conducts comparative analyses of various methods for suppressing integration noise,including high-pass filtering,polynomial fitting,and EM D-based methods,using real seismic data.Additionally,the paper examines the practical applicability of these methods and briefly discusses the feasibility and cost-effectiveness of using time-domain integration combined with EMD for conversion of acceleration-domain seismic data into velocity-domain seismic data in on-site processing.This technology has been successfully applied in the X project in South America.During processing,acceleration-domain seismic data collected by digital nodes were transformed into velocity-domain seismic data and merged with velocity-domain seismic data received by analog nodes,resulting in improved data consistency and an enhanced signal-to-noise ratio of the weak seismic signal from deep,thus confirming the method's effectiveness.
Integral noiseHigh-pass filteringPolynomial fittingEMD-based methods
万方数据
维普
