Application of Seismic Instantaneous Attributes in Gas Reservoir Prediction

The seismic instantaneous attributes contain a large amount of reservoir information, which can effectively identify oil and gas reservoirs. When extracting the instantaneous attributes of complex seismic signals, the Hilbert-Huang transform has higher time-frequency resolution than the traditional non-stationary signal time-frequency analysis, and the extracted seismic instantaneous attributes can better reflect the signal local features. In this paper, the mode mixing and end effect of the Hilbert-Huang transform are improved, and this new method is used to extract the instantaneous amplitude, instantaneous frequency and instantaneous phase of the seismic signal. The time-frequency analysis of the actual seismic profile is used to verify the effectiveness of the new method, and the relationship among instantaneous attributes, geometric properties and physical properties of reservoir is further studied. This method is effectively applied to reservoir prediction.