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应用拟合追逐分解MPD(Matching pursuit decomposition)法对地震数据进行谱分解能够提供更好的分辨率,在时间分辨率和频率分辨率上到达一致,避免付氏变换方法中时窗大小选择和分析时间点不准确的问题。含气地层对纵波资料产生较大的频率衰减,在储层下方可能见到低频强振幅的低频阴影现象。而转换波资料受气藏影响小,在转换波剖面中不会出现同纵波类似的低频阴影区。因此,综合两种资料在分频剖面上的表现,可以进行含气性异常的预测。对已知气藏的实际多波地震资料,进行MPD分频处理,在不同波场的分频剖面上,分析气层响应特征。
Applying the Matching pursuit decomposition (MPD) method to decompose seismic data can provide better resolution and reach the same resolution in time resolution and frequency resolution, avoiding the window selection and analysis in the Fourier transform method The point in time is not accurate. Gas-bearing formations have a large frequency attenuation of longitudinal wave data, and low-frequency strong-amplitude low-frequency shadowing may be observed below the reservoir. However, the converted wave data is less affected by gas reservoirs, and no low frequency shadow zone similar to the longitudinal wave will appear in the converted wave profile. Therefore, based on the performance of the two data on the frequency-divided profile, the prediction of gas-bearing anomalies can be made. The actual multi-wave seismic data of known gas reservoirs are processed by MPD, and the gas response characteristics are analyzed on different frequency cross sections in different wavefields.