一种利用走时近似实现各向异性参数估计方法
By establishing a travel time correction model on common center point seismic gathers and utilizing nonlinear relationships and weighted recursion of travel times with zero offset between layers, the problem of large computational load and severe coupling in the anisotropic parameter estimation of existing technologies is solved, achieving efficient and stable parameter estimation, which is suitable for seismic data processing under complex geological conditions.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- JILIN UNIVERSITY
- Filing Date
- 2026-05-21
- Publication Date
- 2026-07-17
AI Technical Summary
Existing methods for estimating anisotropic parameters are computationally intensive, highly dependent on the initial model, and have severe coupling between parameters. Especially in multilayer anisotropic media and under large offset conditions, the inversion process is prone to getting trapped in local extrema, making it difficult to guarantee stability and efficiency.
By acquiring common midpoint seismic gathers, the emission two-way travel times of reflection events are extracted, a travel time correction model is established, and anisotropic parameters are introduced to construct a nonlinear relationship between reflection two-way travel time and offset. Travel time correction processing is performed to obtain equivalent parameters. Then, using weighted recursion of inter-layer zero offset travel times, the inter-layer correction velocity and non-hyperbolic anisotropic parameters are extracted. Finally, the final estimated values of the anisotropic parameters are obtained through interpolation.
It significantly reduces the coupling degree of parameter estimation, improves the stability and efficiency of parameter estimation, and can provide more accurate parameter support for seismic data processing in complex geological areas. It is suitable for seismic imaging and parameter inversion of VTI media.
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Abstract
Citation Information
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