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Detection of Low-frequency Shadows Associated with Gas Using High-resolution Empirical Wavelet Transform
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
A lot of useful information hidden in the seismic data can be divulged by time-frequency representation, which has been broadly used in seismic data analysis. We have introduced a new seismic application of the high-resolution time-frequency empirical wavelet transform (EWT), which is able to give much sparser time-frequency representation than popular approaches. Being fully adaptive can be one of the main advantages of the suggested method. Different techniques have been introduced for the signal analysis representation and decomposition. In this paper, the EWT was used to provide the time-frequency map and further to depict the low-frequency shadows associated with hydrocarbons. It was also compared with Variational mode decomposition (VMD) and Synchrosqueezing Wavelet Transform (SSWT), which are both wavelet based time-frequency approaches. Furthermore, both synthetic and 2D real seismic data were used to illustrate the efficiency of the proposed method. Results show that EWT can provide a much sparser time-frequency map and have better performance in signal separation, and thus great potential to be a convenient tool for seismic data processing and interpretation.