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Exploring self-affine properties in seismograms

机译:探索地震图中的自仿射特性

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摘要

Self-affine properties have been observed in a large variety of rough profiles and time series from natural data sets. In this work, seismograms used for oil prospecting, which contain information of distinct subsurface features collected by seismic waves reflected or scattered at their interfaces, are taken into consideration. It is expected that any self-affine property, measured by the Hurst exponent H, depends on the depth. For each seismic trace, H is evaluated locally within a moving window, which is chosen narrow enough to reveal space dependency but also wide enough to display scale invariance. With the use of color code diagrams, it is possible to draw two-dimensional diagrams that show the local dependence of H for the analyzed seismogram. The reliability of the method is tested by the investigation of seismograms that contain ground roll components, as well as multiple reflections. The effect of different kinds of filter in the scaling properties is also investigated. In this case, comparisonsrnare drawn among the diagrams obtained from original seismograms and those subjected to appropriate filter to eliminate spurious components.
机译:自自然数据集以来,已经在各种各样的粗略轮廓和时间序列中观察到了自仿射属性。在这项工作中,要考虑用于石油勘探的地震图,其中包含由在其界面处反射或散射的地震波收集的不同地下特征的信息。可以预期,任何由赫斯特指数H度量的自仿射特性都取决于深度。对于每条地震迹线,都在移动窗口内局部评估H,选择该窗口的宽度应足够窄以显示空间依赖性,但也要足够宽以显示比例不变性。通过使用颜色代码图,可以绘制二维图,该二维图显示H对所分析地震图的局部依赖性。该方法的可靠性通过调查包含地滚波分量以及多次反射的地震图来测试。还研究了不同种类的滤波器对缩放特性的影响。在这种情况下,将从原始地震图获得的图与经过适当滤波以消除杂散分量的图进行比较。

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  • 来源
    《Computational Geosciences》 |2009年第2期|155-163|共9页
  • 作者单位

    Instituto de Fisica, Universidade Federal da Bahia, 40210-340, Salvador, Bahia, Brazil;

    Instituto de Fisica, Universidade Federal da Bahia, 40210-340, Salvador, Bahia, Brazil;

    Instituto de Fisica, Universidade Federal da Bahia, 40210-340, Salvador, Bahia, Brazil;

    Departamento de Fisica Teorica e Experimental, Universidade Federal do Rio Grande do Norte, 59078-970, Natal, Rio Grande do Norte, Brazil;

    Departamento de Fisica Teorica e Experimental, Universidade Federal do Rio Grande do Norte, 59078-970, Natal, Rio Grande do Norte, Brazil;

    Instituto de Geosciencias, Universidade Federal da Bahia, 40210-340, Salvador, Bahia, Brazil;

    Instituto de Geosciencias, Universidade Federal da Bahia, 40210-340, Salvador, Bahia, Brazil;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    seismograms; self-affinity; hurst exponent; hoelder exponent;

    机译:地震图自我亲和力仓促指数霍尔德指数;

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