Seismic resolution enhancement based on the scale characteristics of Fourier transform
Chen Shuangquan1,2, Li Xiangyang1,2
1. State Key Laboratory of Petroleum Resources & Prospecting, China University of Petroleum (Beijing), Beijing 102249, China;
2. CNPC Key Lab of Geophysical Prospecting, China University of Petroleum (Beijing), Beijing 102249, China
Abstract：We propose in this paper a simplified inversion method to enhance stacked seismic data resolution based on the scale characteristic of Fourier transform. According to the scale characteristics of Fourier transform, when seismic wavelet is compressed in the time domain its amplitude spectrum moves to high frequency band, and vice versa. First we transform estimated seismic wavelet to a wavelet with higher frequency. Then we use an obtained filter by inversion with seismic wavelet to the original seismic trace to improve the resolution. In this method, we only consider that seismic reflectivity series is of white noise and seismic wavelet is of zero phase. The scale factor can be estimated based on the signal-to-noise ratio of real seismic data before the transform. Synthetic and field data test results show that this simple method can obtain high-resolution seismic and is suitable for interbed reservoir prediction.
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