In this paper, we propose a method for revealing hidden reservoirs that are shielded by strong amplitudes. The bi‐dimensional empirical mode decomposition algorithm is used to decompose pre‐stack seismic data into several localized components, which generated from different discontinuities in the subsurface elastic properties. The two‐dimensional Teager–Kaiser energy operator process is applied to the first component, which includes a strong signal, to further locate the strong event. According to the located results, an energy weight matrix is established. By weighted summation of all the components, the strong event is suppressed, and the hidden reservoir becomes more prominent. Tests on a synthetic data and field data from Daniudi confirm that this method can separate strong signals from weaker responses and efficiently reveal shielded reservoirs.

中文翻译：

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基于二维经验模式分解和Teager-Kaiser运算符的强屏蔽下隐蔽油藏探测

在本文中，我们提出了一种方法来揭示被强振幅遮挡的隐藏油藏。二维经验模式分解算法用于将叠前地震数据分解为几个局部分量，这些分量是由地下弹性特性的不同间断产生的。将二维Teager-Kaiser能量运算符过程应用于包含强信号的第一部分，以进一步定位强事件。根据定位结果，建立能量权重矩阵。通过对所有成分进行加权求和，可以抑制强事件，并且隐藏的储层变得更加突出。