一种地震层位自动识别新算法
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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.
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.
引文
[1]津强.地质体可视化和解释:自动追踪的速度和准确性[J].中外科技情报,2007,(5):30~33.
[2]Alexander Blinov and Maria Petrou.Reconstruction of3-D Horizons From3-DSeismic Datasets[J].IEEEtransactions on geoscience and remote sensing,2005,43(6):1421~1431.
[3]彭文,熊晓军,韩小俊.基于高阶统计量的层位自动追踪方法[J].新疆石油地质,2006,27(6):92~96.
[4]宁纪锋,吴成柯,姜光,等.基于偏微分方程和分水岭算法的图像分割[J].模式识别与人工智能,2008,21(5):99~103.
[2]Alexander Blinov and Maria Petrou.Reconstruction of3-D Horizons From3-DSeismic Datasets[J].IEEEtransactions on geoscience and remote sensing,2005,43(6):1421~1431.
[3]彭文,熊晓军,韩小俊.基于高阶统计量的层位自动追踪方法[J].新疆石油地质,2006,27(6):92~96.
[4]宁纪锋,吴成柯,姜光,等.基于偏微分方程和分水岭算法的图像分割[J].模式识别与人工智能,2008,21(5):99~103.
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