| Multi-component seismic exploration has more advantages than the traditional p-wave exploration, the p-wave and shear wave data acquired simultaneously can be used to form stack sections respectively, helping to construct the formation image. It is a valuable method that can be used for extracting the geophysical parameters such as petrology reservoir description crack distribution and the information of force field. However, wave field separation is one of the important steps for processing the multi-component seismic data.Radon transform is employed widely in seismic data processing and interpretation, especially in the events identification, wave field separation, de-multiple, velocity analysis etc. Besides linear Radon transform and parabolic Radon transform, hyperbolic Radon transform were usually achieved by the least square inversion. It is low in the transform resolution and the computation efficiency. Therefore, there are a lot of works still needed to do now.This paper discusses the factors that affect the resolution of Radon transform and the method for solving the problems as well as the method for achieving the high resolution. In order to overcome the disadvantage of large computation capacity in this method, we solve the spare matrix by the conjugate gradient, which does not affect the resolution but also improve the computation efficiency. On the basis of the difference of velocity and intercept time between p-wave and s-wave, we separate the wave field by the high resolution hyperbolic Radon transform, and analyze the transform parameters and the port phenomenon, for example, the frequency and the trace space is bigger, it is easier to arise space alias, furthermore, the resolution is lower. With theoretical models and the practical data, it makes clear that the resolution and computation efficiency of the conjugate gradient for solving the high resolution hyperbolic Radon transform algorithm is better and more helpful to separate the wave field. |
PDF Full Text Request