attenuation of spatial aliasing in cmp domain by nonlinear interpolation of seismic data along local slopes

Spatial aliasing is an unwanted side effect that produces artifacts during seismic data processing, imaging and interpolation. it is often caused by insufficient spatial sampling of seismic data and often happens in cmp (common midpoint) gather. to tackle this artifact, several techniques have been developed in timespace domain as well as frequency domain such as frequencywavenumber, frequencyspace, and frequencytime. the main advantages of seismic interpolation in timespace domain over frequency domain are: a) frequency components of the initial signals are preserved, and b) the prior knowledge that a seismic event consists of many plane wave segments, can be used. using the later advantage, a seismic event can be predicted by pursuing the continuity of seismic events in a tracebytrace manner. this process, which has become popular in seismic data reconstruction and imaging within the past few years, is known as predictive painting. we use predictive painting to predict the wavefronts and twowaytravel time curves in regularly sampled cmp gathers followed by increasing the number of traces by cubic interpolation. then, the amplitude of the interpolated trace is obtained by averaging the amplitudes of the neighbouring traces. performance of the proposed method is demonstrated on several synthetic seismic data examples as well as a field data set.

Attenuation of spatial aliasing in CMP domain by nonlinear interpolation of seismic data along local slopes

Spatial aliasing is an unwanted side effect that produces artifacts during seismic data processing, imaging and interpolation. It is often caused by insufficient spatial sampling of seismic data and often happens in CMP (Common MidPoint) gather. To tackle this artifact, several techniques have been developed in timespace domain as well as frequency domain such as frequencywavenumber, frequencyspace, and frequencytime. The main advantages of seismic interpolation in timespace domain over frequency domain are: a) frequency components of the initial signals are preserved, and b) the prior knowledge that a seismic event consists of many plane wave segments, can be used. Using the later advantage, a seismic event can be predicted by pursuing the continuity of seismic events in a tracebytrace manner. This process, which has become popular in seismic data reconstruction and imaging within the past few years, is known as predictive painting. We use predictive painting to predict the wavefronts and twowaytravel time curves in regularly sampled CMP gathers followed by increasing the number of traces by cubic interpolation. Then, the amplitude of the interpolated trace is obtained by averaging the amplitudes of the neighbouring traces. Performance of the proposed method is demonstrated on several synthetic seismic data examples as well as a field data set.