Traditionally, survey merging is achieved by applying the optimal bulk time shift, phase rotation and a time-varying amplitude scalar obtained to match two or more different surveys. With an increase in demand for seismic reservoir characterization, the amplitude-related seismic attributes are of greater importance. Therefore amplitude-spectrum matching is critical to survey merge processing. In contrast, the use of Fourier Transform in amplitude spectrum matching is often taken for granted, by ignoring the requirement for stationarity of the seismic signal under investigation. Our study presented here shows that ignoring the non-stationarity requirement imposed by the theory of Fourier Transform could be problematic in practice. Using the Gabor transform, a solution to this problem is illustrated by application to real data examples from offshore northwest shelf of Western Australia.
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