Spectral Decomposition – Transform Methods and Fluid and Reservoir Prediction Case Study

F007 Abstract 1 The spectral decomposition of seismic amplitude data has gained significantly in popularity over the last few years and has been successfully used for reservoir fluid prediction. Several different methods of spectrally decomposing seismic amplitude data are possible with commercially available software packages. However the majority of these applications do not produce time-frequency representations with sufficient spatial and temporal resolution for reliably predicting fluids and reservoir character. This paper discusses a comparison between the two commonly used spectral decomposition methods: (1) the Short Term Fourier Transform (STFT) and (2) the Wavelet Transform (WT); and (3) the less often