Division of sedimentary cycle sequences based on maximum entropy spectrum estimation
Online published: 2012-04-20
In order to improve the division accuracy of sedimentary cycles by log, this paper estimated the prediction error of well log data by using maximum entropy spectrum estimation, and then obtained the prediction error trend curve. Symmetric and asymmetric models were applied to verify this method. The result shows that prediction error curve can be used to identify sedimentary cyclic interface well, and prediction error trend curve can be used to identify half cyclic sequences. This method was applied to divide the cyclic sequences of real well log data, and good results have been obtained.
FU Guang , ZHOU Liang , AN Ligang . Division of sedimentary cycle sequences based on maximum entropy spectrum estimation[J]. Lithologic Reservoirs, 2012 , 24(2) : 67 -71 . DOI: 10.3969/j.issn.1673-8926.2012.02.013
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