• 世界地質:英文版 · 2019年第1期62-66,共5頁

    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.

    發文機構:College of Geo-Exploration Science and Technology College of Mining Engineering

    關鍵詞:VD-seislettransformDENOISINGSELF-ADAPTIVETHRESHOLDmethodH-curve

    分類號: P631.44[天文地球—地質礦產勘探][天文地球—地質學]

    注:學術社僅提供期刊論文索引,查看正文請前往相應的收錄平臺查閱
    相關文章
    性视频