In order to study the feasibility of low-frequency shadows for oil and gas detection in turbidite fan system, the generalized S transform(GST) is applied to transient spectral decomposition, creating a series of common frequency data volumes. Through detection of the amplitude energy variances of different frequencies, it is shown that the amplitude energy beneath turbidite fan reservoir is gradually weakened and disappeared with the frequency increasing, which is regarded as low-frequency shadows. The case study indicates that the seismic low-frequency shadows can directly indicate existence of oil and gas.
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