Synchroextracting three-parameter wavelet transform and its application in hydrocarbon detection of reservoir

With the deepening of petroleum exploration in China, unconventional hydrocarbon reservoirs have gradually become the focus of hydrocarbon exploration. Because tight sandstone has the characteristics of low porosity, low permeability and strong heterogeneities, it is urgent to use high-precision time-frequency analysis postprocessing methods to effectively characterize this kind of hydrocarbon reservoir. The Synchroextracting Three-Parameter Wavelet Transform (SETPWT) proposed in this paper has the characteristics of multi-scale and multi-resolution like Wavelet Transform. The main frequency, bandwidth and phase of the wavelet base can be changed by adjusting three parameters, which can match various synthetic signals and seismic wavelets flexibly. Compared with the traditional time-frequency analysis methods, SETPWT introduces the Synchronous Extraction Operator (SEO) based on the results of Three Parameters Wavelet Transform. Furthermore, through SEO, SETPWT extracts the time-frequency information highly related to the ideal time-frequency representation of the signal, and removes the redundant energy, thereby achieving a highly energy-concentrated time-frequency representation result for nonstationary signals. The analysis results of synthetic signals show that the resolution of the SETPWT is not only higher than that of the common time-frequency transform, but also has better anti-noise performance than that of the Synchroextracting Transform (SET). The application of the field seismic data further verifies the potential of the SETPWT in the hydrocarbon detection of tight sandstone.