Discontinuity feature enhancement method for post-stack seismic data
By denoising and tensor decomposing post-stack seismic data, cumulative voting is generated to enhance discontinuity characteristics. This solves the problem that traditional methods are unable to highlight small faults and rifts under complex geological conditions, and enables a detailed characterization and interpretation of seismic data.
CN120949306APending Publication Date: 2025-11-14SOUTHWEST PETROLEUM UNIV
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Patent Information
- Application Number
- CN202511187504.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-25
- Publication Date
- 2025-11-14
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Figure CN120949306A_ABST
Abstract
The invention discloses a non-continuity feature enhancement method for post-stack seismic data, and belongs to the technical field of seismic data processing, and the method comprises the following steps: S1, collecting the post-stack seismic data, and carrying out the denoising of the post-stack seismic data; s2, constructing a second-order tensor according to the post-stack seismic data after denoising processing; s3, decomposing the second-order tensor to obtain a target point; and S4, performing vote superposition on the target points to generate accumulative votes, and completing non-continuity feature enhancement of the post-stack seismic data based on the accumulative votes. According to the method, the non-continuity features of the post-stack seismic data are enhanced in a tensor form, and the problem of finely depicting the non-continuity features such as multi-stage fractures and seepage barriers is solved.
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