The article describes different methods of spectral decomposition on model seismic traces. The main methods are considered: windowed Fourier transform, continuous wavelet transform and algorithms of spectral inversion.

As a result the spectral inversion methods based on the approximation of an input trace in a library of wavelets with the help of Lp-regularization, provide a much more accurate spectral representation of the signal.

Several possible ways of geological interpretation using spectral inversion are shown in the article as a practical result. Considered approaches could be divided into custom – related to the all types of spectral inversion and specific – forwarded to specific features of spectral inversion results.

Keywords:
Reservoir Characterization, frequency, Fourier Transform, coefficient, Artificial Intelligence, wavelet transform, spectral inversion, Upstream Oil & Gas, information, characteristic
Subjects:
Reservoir Characterization, Seismic processing and interpretation
Copyright 2017, Society of Petroleum Engineers
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