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地震纹理属性在JJD工区断层识别中的应用

THE EXTRACTION OF SEISMIC TEXTURE ATTRIBUTE AND ITS APPLICATION IN FAULT IDENTIFICATION

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【作者】 崔世凌张军华王伟谭明友陈海云

【Author】 CUI Shi-ling1,2,ZHANG Jun-hua3,WANG Wei4,et al.(1.Guangzhou Institute of Geochemistry,Chinese Academy Sciences,Guangzhou 510640,China;2.Geophysical Prospecting Research Institute of Shengli Oilfield,Dongying 257022,China;3.College of Geo-Resources and Information,China Petroleum University,Dongying 257061,China;4.Research Institute of BGP,Zhuozhou 072751,China)

【机构】 中国科学院广州地球化学研究所中国石化胜利油田物探研究院中国石油大学资源信息学院东方地球物理公司研究院

【摘要】 纹理分析是图像处理中的一种常用技术,通过构建地震纹理基元和灰度共生矩阵,可以将此项技术推广到地球物理领域,并可在断层识别,边缘检测和沉积相划分等方面得到应用。这里通过算法研究和程序开发,结合JJD工区应用实例,得到了有一定理论意义和研究价值的结论:①基于灰度共生矩阵提取的纹理属性,是一种很好的凸显断层和裂缝信息的地震属性;②可以根据实际地质问题,提取不同方向的纹理属性,并用RGB技术进行多属性的融合;③地震纹理基元的窗大小取9×9×9为好;④要根据具体情况选取合理的灰度级别,对于常规三维地震数据,灰度级别取16或32比较理想。

【Abstract】 Texture analysis is a common technology in image processing,which can be extended to the field of geophysical prospecting by constructing seismic texture primitive and gray level co-occurrence matrix.It can be used in fault identification,edge detection and sedimentary facies delineation.Through the algorithm research,programming and practical application,we get some conclusions which has theoretical meaning and valuable ①The texture attribute which based on gray level co-occurrence matrix is a good attribute in highlighting the information of faults and fractures,② According to actual geological problems,we can extract texture attributes of different directions,and use RGB technology for the integration of multi-attributes,③ The window of seismic texture element we should adopt is 9×9×9,④ We should select a reasonable level of gray of different conditions,and commonly selection is 16 or 32 for conventional three-dimensional seismic data.

【关键词】 纹理体素灰度共生矩阵RGB技术断层
【Key words】 texturevoxelgray level co-occurrence matrixRGB technologyfaults
  • 【文献出处】 物探化探计算技术 ,Computing Techniques for Geophysical and Geochemical Exploration , 编辑部邮箱 ,2010年03期
  • 【分类号】TP391.41
  • 【被引频次】30
  • 【下载频次】307
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