基于Contourlet变换的图像增强技术识别裂缝  

Application of image enhancement technique to fracture identification based on Contourlet transform

作　　者：赵万金[1] 周春雷[1] ZHAO Wanjin;ZHOU Chunlei(PetroChina Research Institute of Petroleum Exploration & Development-Northwest,Lanzhou 730020,China)

机构地区：[1]中国石油勘探开发研究院西北分院,兰州730020

出　　处：《岩性油气藏》2017年第3期103-109,共7页Lithologic Reservoirs

基　　金：中国石油天然气股份有限公司重大推广专项课题"地震综合裂缝预测软件系统GeoFrac1.0推广应用"(编号:2015D-1809-02)资助

摘　　要：由于地震叠后数据识别小断裂和裂缝带难度较大,因此,图像增强技术逐渐应用于地震处理和解释中。基于Contourlet变换的图像增强技术具有多尺度分解和多方向滤波的特点,可以很好地突出地震叠后数据中隐含的各向异性。通过地震物理模拟分析,并与其他技术相比,发现其在凸显小断裂和构造裂缝带分布方面具有明显优势。该项技术已成功应用于实际生产,在复杂构造断裂解释和裂缝型储层井位部署中发挥了重要作用。It is difficult to identify small-scale faults and fracture zone by seismic post-stack data,and imageenhancement technique has been applied in seismic processing and interpretation.Image enhancement techniquebased on Contourlet transform,which is characterized by multi-scale decomposition and multi-directional filtering,can be used to highlight the anisotropy of post-stack data.Seismic physical modeling analysis shows that comparedwith other techniques,image enhancement technique has obvious advantages in highlighting the distribution ofsmall-scale faults and tectonic fracture zones.This technique has been successfully applied to practical production,which plays an important role in the interpretation of complex structural faults and well deployment in fracturedreservoirs.

关 键 词：地震叠后数据 CONTOURLET变换 图像增强 小断裂 裂缝预测 

分 类 号：P631.4[天文地球—地质矿产勘探]