A method for predicting a fracture zone based on diffraction characteristics
By preprocessing and multi-scale decomposition of pre-stack CRP gathers, combined with seismic attribute analysis, the problem of difficult diffraction wave extraction was solved, achieving high-precision fracture zone prediction and improving the reliability and resolution of fractured reservoirs.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SOUTHWEST PETROLEUM UNIV
- Filing Date
- 2026-04-27
- Publication Date
- 2026-07-17
AI Technical Summary
In existing fractured reservoir prediction technologies, diffracted wave energy is weak and easily masked by strong reflection background, making it difficult to effectively extract and quantify, resulting in high uncertainty in prediction results. Furthermore, omnidirectional migration imaging technology has shortcomings in signal separation and computational efficiency.
The signal-to-noise ratio is improved by preprocessing the pre-stack CRP gather, including bandpass filtering, τ-p transform, and amplitude compensation; multi-scale decomposition is performed using pre-stack navigation pyramid technology to separate diffraction and reflection signals; and seismic characteristics of fracture zones are extracted by combining trace integral attributes and root mean square amplitude attributes.
It improves the accuracy and reliability of fractured reservoir prediction, clearly shows the direction and scale of fractures, enhances the imaging effect of geological boundaries, reduces noise interference, and improves resolution.
Smart Images
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