| Citation: | LI Hongyan，GONG Wei，HAN Jun，et al. Application of five-dimensional seismic prediction method based on amplitude attribute in Shunbei Well X area[J]. Bulletin of Geological Science and Technology，2025，44（3）：363-372 doi: 10.19509/j.cnki.dzkq.tb20240328
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In response to challenges such as strong reservoir heterogeneity, low signal-to-noise ratios in seismic data, insufficient prediction accuracy for poststack reservoirs, and difficulty in identifying fractures in ultradeep carbonate reservoirs in Shunbei, a new method is explored to increase the prediction accuracy for fractured reservoirs on the basis of five-dimensional seismic data.
To study the reservoir development characteristics of the Shunbei fault-controlled fracture-cave-type oil and gas reservoirs, a five-dimensional seismic anisotropic forward simulation was conducted, relationship between the seismic amplitude and fracture parameters were established, and the sensitive parameters for fracture prediction were optimized. On the basis, a Fourier series form of the directional elastic impedance equation was derived, fracture-type reservoir prediction was carried out, and the method was applied to the Shunbei Well X area.
The AVAZ seismic response characteristics of ultradeep carbonate rock fault-controlled reservoirs were clarified, and the fracture density was identified as a sensitive parameter for identifying fractured reservoirs. Additionally, using second-order Fourier coefficients to characterize fracture development density, a precise characterization of fracture-type reservoirs in the Shunbei Well X area was achieved with high prediction accuracy.
The application of five-dimensional seismic prediction technology based on amplitude attributes enhances the prediction of the fracture development density and direction by utilizing amplitude and orientation information from wide-azimuth seismic data. The established Fourier coefficient fracture density mapping relationship provides a quantitative prediction tool for fracture-controlled fracture-cave reservoirs and offers new ideas for fracture prediction and target evaluation in such reservoirs.
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