Simultaneous Automatic Picking Dense Moveout Parameter Fields V And η

Velocity analysis is a very important step for seimic data proccssing and interpretation.In this paper, we first reviewed the history and study stage of the velocity analysis development in anisotropy media, summarized the research significances and its the limitations of the development ,and then induced the techniques and its characteristics of the traditional velocity analysis.Basing on the study above, we studied non-hyperbolic reflection traveltime four-order approximation for two parameters moveout analysis method at the large offset which proposed by Alkhalifh,including deduction of P-wave non-hyperbolic moveout equation,the method of velocity analysis and parameter eatimation for VTI media. Then we used the synthetic travletime curve to pick the effective moveout velocity Vnmo and anisotropy parameter (anellipticity)η. Moreover, we made a study of the method of dense picking root-mean-square velocity Vrms and anellipticityηadvanced by Siliqi and Meur in 2003. Although it continue to make use of the bispectral parameter scan, its differences between Alkhalifah's method are to put to use the shifted hyperbola to pick the two uncorrelated time-parameters——the residual moveout at the largest offset (dtn) and the zero-offset traveltime(τ0), then any pair can be transformed to root-mean-square velocity Vrms and anellipticityη.Refer to the research achievements above, we deduced the dtn andτ0 parameterization of the shifted hyperbola equation independently in the case of foreigners confidentiality. With the help of synthetic traveltime curve,we used the semblabce analysis to scan velocity spectra ,simultaneously picked dtn andτ0 and transformed them to Vrms andη. As a result, the experimental result indicated that the density and the quality of parameters are remarkable. Further more,in the synthetic data processes ,we found that shifted hyperbola scan accuracy is improved to a certain extent compared with the non-hyperbola method .Specially,we noticed that the absolute error ofηreduced very much. Consequently, this explained that the approach which we use shifted hyperbola scan is superiority.Further more ,this paper systematically introduced the basic theories of geostatistics. Besides,we described the principles and techniques of ordinary kriging and factorial kriging in detail. As we all know, geostatistical method is a powerful tool for studying the spatial variablility of certain things .Ordinary kriging is a unbiased and excellent inversion of the statistical average method which based on the structure information provided by variogram. Moreover, we analyzed the theoretical model to verify this statements that ordinary kriging interpolation is more exacter than any other interpolate motheds. In addition, it can be used to make an estimate of error. At the same time, we used nested compound experimental data to testify that the factorial kriging filtering is reliable and valid. Thanks to this technique, we can know that we can use geostatistics to remove various noises are and preserve geological content.Last but not least, we analyzed the limitions of traditional Dix inversion and proposed an accurate Dix-inversion route which made use of anelliptic velocity and hyperbolic velocity for interval velocity as well as intervalη. Owing to this,the fields we got are more stable.