Existing post-stack hydrocarbon detection methods usually use the amplitude or amplitude attenuation attribute of the seismic data to detect oil and gas. However, with the main exploration target becoming a subtle lithologic reservoir, the multi-solution of these methods is more serious, and their limitation is gradually revealed in practical application. We knew that seismic wave propagation through the hydrocarbon-bearing reservoir would generally produce obvious energy attenuation and velocity dispersion. Therefore, we study and propose a hydrocarbon detection method which uses the velocity dispersion attribute as hydrocarbon indicator for fluid detection. Firstly, based on the post-stack seismic data, the time-frequency analysis for each seismic trace in the target reservoir is made by using the high resolution synchrosqueezing wavelet transform (SWT). Then the trace gathers of group characteristic parameter of each seismic trace are extracted from the time-frequency spectrum. Finally, the group energy gradient attribute which represents the group velocity dispersion degree is extracted from the trace gathers of group characteristic parameter to perform the hydrocarbon detection. The actual data processing results show that the estimation method of group velocity dispersion attribute based on SWT has high-resolution and good indication for hydrocarbon-bearing reservoir, which effectively reduces the multi-solution of hydrocarbon detection.
Note: This paper was accepted into the Technical Program but was not presented at the 2020 SEG Annual Meeting.
