摘要
介绍了一种识别超薄层的新方法。其将Widess模型扩展为偏移距模型,充分利用叠前资料远、近偏移距之间的最大瞬时属性差,拾取出比常规方法拾取的厚度薄得多的超薄层厚度。模型研究显示,远、近偏移距之间的属性差异能够突破Widess模型地震分辨率的限制来识别薄层,从而提高了用叠前资料检测薄层的能力。
引文
[1]Chung,H-M.,and D.C.Lawton.Amplitude responses of thin beds:Sinusoidal approximation versus Ricker approximation. Geophysics,1995,60,223-C230
[2]Jenkins,F.A.,and H.F.White.Fundamentals of optics.McGraw -Hill Book Co.Kalweit,R.S.,and L.C.Wood.,1982
[3]The limits of resolution of zero-phase wavelets.Geophysics,1982, 47,1035-1046
[4]Marangakis,A.,J.K.Costaini,and C.Coruhg.Use of integrated energy spectra for thin-layer recognition:Geophysics,1985,50, 495-500
[5]Ricker,N.Wavelet contraction,wavelet expansion,and the control of seismic resolution:Geophysics,1953,18,769-792
[6]Robertson,J.D.,and H.H.Nogami.Complex seismic trace analysis of thin beds:Geophysics,1984,49,344-C352
[7]Widess,M.B.How thin is a thin bed?:Geophysics,1973,38, 1176-C1180
[8]Zeng,H.,and M.M.Backus,Interpretive advantages of 90o-phase wavelets:Part 1 Modeling:Geophysics,2005,70,no.3, C7¨CC15