Spectral Decomposition and Harmonic Bandwidth Extrapolation: A Case Study of a Channel System on a 3D Multicomponent Survey in Southern Alberta, Canada

Date

2017-05

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Abstract

Conventional seismic attribute analysis, spectral decomposition, and harmonic-bandwidth extrapolation are performed on the 3D multi-component seismic data from southern Alberta, Canada to map the occurrence and distinguish the sand-filled segment from the shale-plugged section of the glauconitic channel. In conventional multi-component seismic-attribute analysis, the interval Vp/Vs ratio can provide more distinctive and definitive interpretation of the glauconitic channel than can isochron and amplitude attributes independently extracted from P-P and P-S data. P-P and P-S amplitude maps and vertical sections from the analyzed spectral decomposition methods show the superiority of Constrained Least-Square Spectral Analysis (CLSSA) over the Short-Time Fourier Transform (STFT) and Continuous Wavelet Transform (CWT) in delineating the glauconitic channel. The frequency-derived Vp/Vs ratio fails to distinguish the lithology variation within the channel as does the Vp/Vs ratio extracted from the conventional P-P and P-S data. Synthetic P-P and P-S wedge models indicate the improvement in P-P and P-S seismic resolution after harmonic-bandwidth extrapolation. However, the limited improvement in P-P and P-S seismic resolution is not sufficient to map the occurrence of the glauconitic channel.

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Keywords

Spectral decomposition, Harmonic bandwidth extrapolation

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