Seismic data is generated by a sharp pulse, which transforms into to Earth and is reflected by the layer status in the Earth. The Data is 3D or 2D. Because of transforming through the Earth, Seismic data has wide main lobe and strong side lobe, which is different from that of the sharp pulse. In order to recover the character that is similar to that of sharp pulse, the 2D and 3D seismic data is usually processed by the deconvolution. The data includes down going data and up going data mainly. The deconvolution is done by down going data in the general procedure. In this paper, it is done by up going data statistical distinctively. The new methods can get stable deconvolution operator and deconvolution result. It can be used to process the data that is contaminated high-frequency noise. The new approach can get well data to be used in the following process flow and bring a better result to interpretation and application.
['Xiang-e Sun', 'Yun Ling', 'Jun Gao']
A Deconvolution Approach of 2D Data Statistical