The study of seismic data gridding methods

摘要

The gridding of discrete data is the kernel technique of data processing methods in scientific and engineering research. Seismic data is the outcome of seismic prospecting, compared with the large geographical scale, the seismic data we gathered is finite. So data gridding is a necessary part in the processing of seismic data, with the gridded data, we can describe the subsurface layers of the whole area clearly. The article discusses four kinds of gridding methods: Trend surface fitting, Interpolation, Remnant error method, Kriging method. Here we put emphasis on Kriging method and its application on seismic data processing. The result from the application shows that Kriging is an effective method.