基于多尺度海森矩阵的叠后地震裂缝属性增强方法和装置

By combining the multi-scale Hessian matrix with the Frangi and Steger filtering functions, the problem of insufficient signal-to-noise ratio and resolution of crack attributes in the existing technology is solved, crack line refinement and enhancement are achieved, and the operation process is simplified.

CN119105088BActive Publication Date: 2026-07-17CHINA NAT PETROLEUM CORP +2

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
CHINA NAT PETROLEUM CORP
Filing Date
2023-06-07
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies struggle to simultaneously improve the signal-to-noise ratio and resolution of crack attributes during crack enhancement, and the existing Frangi filtering method cannot capture the characteristics of thin and narrow crack lines.

Method used

A method based on the multi-scale Hessian matrix is ​​adopted. By constructing the eigenvalues ​​and eigenvectors of the Hessian matrix and combining them with the Frangi and Steger filtering functions, the crack attributes are regularized and enhanced, thereby refining and enhancing the cracks.

Benefits of technology

It improves the signal-to-noise ratio and resolution of post-stack crack properties, achieves finer and narrower crack lines, and simplifies the operation process, reducing the complexity of parameter adjustment.

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Abstract

本发明公开了基于多尺度海森矩阵的叠后地震裂缝属性增强方法和装置。所述方法包括,对叠后地震裂缝属性切片进行规则化处理,通过与高斯函数卷积的方法,得到多个不同尺度的属性切片;针对每个尺度的属性切片中的每个属性点:构建海森矩阵,确定海森矩阵的第一特征值、第二特征值和第一特征向量,根据较大的第一特征值和第一特征向量判断该属性点是否满足滤波函数的增强条件;若是,根据第一特征值和第二特征值,通过滤波函数确定增强后的属性值,滤波函数基于Frangi滤波函数和Steger滤波函数预先建立;若否,确定增强后的属性值为0;以最大化增强为原则,得到增强后的属性切片。该方法使得增强后的裂缝线具有细、窄的特点。
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