Spectral decomposition has many applications in processing and interpretation of seismic data. In present, there are several methods for spectral decomposition. Each of spectral decomposition methods is useful for a special application, but it has been proved that matching pursuit decomposition has more efficiency in various cases. In the present work, the performance of matching pursuit decomposition was compared with STFT and CWT methods in improving the resolution of thin beds and studying the tuning effect on synthetic data. Moreover, efficiency of MPD method has been shown to detect hydrocarbon directly in oil Bearing sandstone reservoir at south west area of Iran.


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