A Deconvolution Approach of 2D Data Statistical

Xiang'e Sun, Y. Ling, Jun Gao
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Abstract

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.
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二维数据统计的反卷积方法
地震数据是由一个尖锐的脉冲产生的,该脉冲转换到地球上,并通过地球上的层态来反映。数据类型为3D或2D。由于地震数据是经过地球变换的,所以与尖锐脉冲不同,地震数据的主瓣宽,副瓣强。为了恢复与锐脉冲相似的特征,通常对二维和三维地震数据进行反褶积处理。数据主要包括下行数据和上行数据。反褶积是在一般程序中通过下行数据完成的。本文采用了独特的上升数据统计方法。新方法可以得到稳定的反卷积算子和反卷积结果。它可以用来处理被高频噪声污染的数据。该方法可将井资料用于后续的工艺流程中,为解释和应用带来较好的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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