Abstract
Summary How to obtain more accurate phase information from seismic data and process it is one of the difficult problems in reservoir property prediction using geophysical methods. Firstly, the sparse constrained inversion spectral decomposition method based on Gabor transform (ISD-GT) is used to calculate the time spectrum information of seismic signals in this paper. Then, combining the time-frequency amplitude spectrum and phase spectrum, the seismic data volume containing time, frequency and phase change information is obtained. Next, the signal is reconstructed according to the frequency, and the phased seismic data containing only time and phase changes are obtained. The characteristics of underground reservoir can be more clearly described by using seismic data containing only specific phase component information. In addition, stacking all phase data can losslessly restore the original seismic signal, which is more conducive to thin layer identification and reservoir characteristic prediction.
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