Abstract

Seismic thin bed thickness approximation has been a hot topic for many years in seismic data processing. The variation of bed thickness can usually indicate some geologic structure anomalies. Generally it's difficult to distinguish and estimate the thin bed when the thickness is below the tuning thickness (resolution limit). But there is a close relationship between bed thickness and its frequency domain response characteristics. Both of the reflectivity series and seismic wavelet influence the thin bed frequency response. Peak frequency attribute of two common bed types is studied and an analytical expression of thickness and peak frequency is obtained through different order of estimate. The influence of random noise is also discussed. The synthesized model results demonstrate the effectiveness of our proposed method. In the real data applications, this method should be combined with many other preprocessing operations.

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