The Research And Programing For Near-surface Seismic Data Velocity Analyzing Algorithm

As one of the most important parameters of seismic exploration, the abstract application of seismic-wave velocity ran through the various stages of the seismic data processing and interpretation. Since the advent of multiple coverage since the stacking technique, velocity analysis of seismic data processing has become an essential part of processing. Therefore, It is the most important part of the high resolution seismic data processing how to get high-resolution spectra of the stacking velocity and acquire the accurate velocity distribution of underground media.Conventional velocity analysis is based on the CDP gathers along hyperbola obtained within the time window multi-channel cross-correlation, reflect the changes in signal superimposed energy in the window. But it is not considered the similar to or interference with the phase axis, residual static correction, non-hyperbolic type of noise such as jet lag and the effects of non-random noise.This paper introduces in detail in the conventional velocity analysis based on additional input is not under the premise of relying on the existing body of data, how to use self-help speed Bootstrap analysis, a better solution to the above problem, maximize the resolution of velocity spectrum stacking.Bootstrap method from mathematical statistics, is a data for the statistics to estimate the exact distribution method. Actual data is re-random sampling, multiple data sets obtained through the error of these data alone, the calculation of standard errors, in order to find the best data. The velocity analysis of bootstrap law-related technology is derived from data covariance eigenvalues. By the use of the bootstrap method, in accordance with the relevant standard error, you can accurately pick up the velocity distribution curve. In this application is to change the nature of a substantial increase in the level of the stack in the process of covering the frequency spectrum so as to enhance the quality of the purpose of velocity spectrum.Derivation and validation of theoretical models and examples of the latter proved that the method has high resolution, stable characteristics can to some extent the accuracy of speed estimation, particularly in the treatment of near-surface, large-offset, or thin-layer situation , there is a higher resolution, to make up for the traditional method of velocity analysis of the many deficiencies. The high resolution velocity spectrum will provided a guarantee to the following work.The article in the theoretical derivation and the basis of process design, but also gives the Bootstrap computer-based Bootstrap program for velocity analysis, and the effect of model data to be verified, and then applied to actual data, with the current mainstream software to compare the results, procedures to confirm the stability and reliability of methods, and also discussed the predominance of the data construction the direction of the algorithm.