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DECONVOLUTION OF SEISMIC DATA BASED ON FRACTIONALLY INTEGRATED NOISE

机译:基于分数阶综合噪声的地震数据反卷积

摘要

An improved method for the processing of data of seismic traces for the geophysical interpretation of the earth's subsurface employs deconvolution based on fractionally integrated white noise. A generalized form of deconvolution that more accurately models the earth's reflectivity applies the steps of (1) estimating the process order of the fractionally integrated noise model; (2) computing one or both of two correction filters based on the fractionally integrated noise model; and (3) applying one or both of the filters to the deconvolution processing of the seismic data. The resulting graphical displays based on the deconvolution processing more accurately portray the reflectivity and provide improved wavelet compression and signal resolution, thereby aiding in, and improving the interpretation of the subsurface strata.
机译:一种改进的地震道数据处理方法,用于地球地下的地球物理解释,它采用基于分数积分白噪声的反卷积方法。去卷积的一种广义形式可以更精确地模拟地球的反射率,其应用步骤如下:(1)估算分数积分噪声模型的处理顺序; (2)根据分数积分噪声模型计算两个校正滤波器之一或全部; (3)将一个或两个滤波器应用于地震数据的反卷积处理。基于反卷积处理得到的图形显示更准确地描绘了反射率,并提供了改进的小波压缩和信号分辨率,从而有助于并改善了地下地层的解释。

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