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一种地震层位自动识别新算法

The Application of Oriented Filtering in Automatic Tracing of Horizons
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摘要 地震体数据中的信号断裂或减弱影响层位自动提取的准确性。由于层位在地震图像上表现出很强的方向性,通过分水岭算法和方向滤波方法增强三维地震层位的连续性,利用中心扩散方法进行全三维空间搜索并结合基于地震道的振幅匹配方法对搜索结果进行调整。通过试验分析,表明该算法可以适应信号较好的层位自动识别,提高层位解释效率。 The breaking or weakening of signal in seismic volume data affects the accuracy of automatic horizon extraction.As the horizon in seismic images shows strong directional characters,watershed algorithm and oriented filtering method are proposed to enhance the continuity of three-dimensional seismic horizon.The central diffusion is used to extract horizon d in three-dimensional space and moreover the search results is adjusted by the seismic amplitude matching.The experiments show that the algorithm could be used for horizon automatic tracing in good seismic signal and improve the efficiency of horizon interpretation.
出处 《长江大学学报(自科版)(上旬)》 CAS 2010年第2期220-222,230,共4页 JOURNAL OF YANGTZE UNIVERSITY (NATURAL SCIENCE EDITION) SCI & ENG
基金 中国博士后基金项目(20090450466) 煤炭资源与安全开采国家重点实验室开发课题项目
关键词 地震数据 层位提取 方向场 扩散 seismic data horizon tracing oriented field diffusion
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