Abstract:An essential point of Burg algorithm is that the outside of a time window is only assumed as the maximum randomness instead of zero when autocorrelation function is calcu fated. This idea can be used to make extrapolation of autocorrelation function. Using Burg algorithm to estimate prediction error factor ai(m) of an inverse filter, we only calculate the last coefficient am(m)of the inverse filtering factor, neither the autocorrelation function nor all coefficients of the factor; what is more, the calculation is only restricted within a time window. Burg algorithm is applied to seismic data deconvolution. When used in calculating am(m) the algorithm is partly revised, so that we improve deconvolution stability and seismic section quality. Havingnanalysed the seismic data processed with this algorithm, we can find that both the resolution and the S/N ratio of the seismic section are improved on condition that processing parameters are appropriate.
熊翥. Burg算法在地震数据反褶积中的应用[J]. 石油地球物理勘探, 1991, 26(5): 634-642.
Xiong Zhu. The application of Burg algorithm in seismic data deconvolution. OGP, 1991, 26(5): 634-642.