Study of denoising method for nonhyperbolic prestack seismic reflection data

作者：GOU Fuyan,LIU Yang,ZHANG Peng

摘要：Removing random noise in seismic data is a key step in seismic data processing. A failed denoising may introduce many artifacts, and lead to the failure of final processing results. Seislet transform is a wavelet-like transform that analyzes seismic data following variable slopes of seismic events. The local slope is the key of seismic data. An earlier work used traditional normal moveout(NMO) equation to construct velocity-dependent(VD) seislet transform, which only adapt to hyperbolic condition. In this work, we use shifted hyperbola NMO equation to obtain more accurate slopes in nonhyperbolic situation. Self-adaptive threshold method was used to remove random noise while preserving useful signal. The synthetic and field data tests demonstrate that this method is more suitable for noise attenuation.

发文机构：College of Geo-Exploration Science and Technology College of Mining Engineering

关键词：VD-seislettransformDENOISINGSELF-ADAPTIVETHRESHOLDmethodH-curve

分类号： P631.44[天文地球—地质矿产勘探][天文地球—地质学]