In view of the negative effect of seismic noises on complicated structure and reservoir interpretation,effective noise re-duction without impairing seismic structural information is crucial to interpretation-oriented seismic data processing.Based on the principle of edge-preserved smoothing,a self-adapting image texture guided filtering method is developed to suppress scattered and random noises in poststack seismic data and improve the signal-to-noise ratio,and meanwhile seismic reflections related to faults,cracks,and reservoirs could be preserved effectively.Model tests show that this method performs better than conventional filtering methods in edge-preserved smoothing;compared with structure-guided filtering,this method has high computational efficiency be-cause it is unnecessary to extract strike and dip information explicitly.The field application to a 3D seismic survey shows the ad-vantages of this method in preserving structural details of faults and cracks,attenuating various noises to improve signal-to-noise ratio,and improving lateral continuity and seismic resolution.Coherence attributes calculated using seismic data after image-guided denoising show enhanced resolution of fractures and reservoirs,which is beneficial to subsequent seismic interpretation.
image texture guided filteringedge-preserved smoothingsignal-to-noise ratiofault resolutiondifferent types of noises
国家科技期刊平台
NSTL
维普
万方数据
