Detection Of Hidden Reservoirs Under Strong Shielding Based On Bi-Dimensional Empirical Mode Decomposition And The Teager-Kaiser Operator

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.