用地震资料的关联维识别微小断层

断距为１～２０ｍ的小断层对油田开发影响很大，但用常规方法解释地震资料无法识别这些小断层。引入分形理论中的关联维方法，对合成地震剖面的关联维曲线进行分析。分析结果表明，关联维方法对正演模型中的微小断层（落差小于５ｍ）有一定识别能力，只要噪音背景小于５０％（常规处理地震资料噪音比例远小于５０％），都可以用该方法处理解释，识别微小断层。应用该方法重新处理和解释松辽盆地榆树林油田１２１井区地震资料，查明了葡萄花油层一些新的微小断点（垂直落差５ｍ左右），部分已被井下地质资料所证实，应用效果良好。图３参４（邹冬平摘）

Micro and small fault identification by correlation dimension of seismic data.

Small faults with an vertical throw of 1 20m have a significant effect on the development of an oil field. However, these small faults can hardly be identified by seismic data using conventional techniques. Introducing correlation dimension method in the fractal theory and the correlation dimension curve of the synthetic seismic profile is analyzed. Result of analysis shows that correlation dimension technique has certain power to identify small fault (vertical throw <5m), if the turbulence background is small than 50% (ratio of turbulence background in conventional treatment of seismic data is far less than 50% usually), this technique can be used to treat and interpret, to identify small faults. This method has been applied to retreat and reinterpret the seismic data of well 121 region, Yishuling oil field, and some small faults (with a vertical throw about 5m), have been certified by subsurface geological data. Results of application show better effects.