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Why curvature attribute delineates subtle geologic features? A mathematical approach

机译:为什么曲率属性划定了微妙的地质特征?一个数学方法

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Curvature measures are widely used as fault delineators and fracture indicators in seismic data. Recently, there is an interesting discussion in the literature about the efficacy of such measures in seismic data, and why they are able to catch relevant seismic features. However, as far as we know, there are no works in literature that explain, in a mathematical point of view, why seismic curvature detects faults. For that reason, this paper aims to elucidate the meaning of curvature attributes, demonstrating their mathematical relationship with discontinuity measures. We show that curvature can be understood as a second-order directional derivative, that is, in fact, an oriented edge-detection filter. In order to assess the theoretical explanation, our results are presented both in synthetic and real datasets.
机译:曲率措施广泛用作地震数据中的故障描绘件和裂缝指标。最近,在文献中有一个有趣的讨论,关于这种措施在地震数据中的疗效,以及他们为什么能够捕获相关的地震特征。然而,据我们所知,文学中没有作用,在数学的角度下解释,为什么地震曲率检测故障。因此,本文旨在阐明曲率属性的含义,展示了与不连续措施的数学关系。我们表明曲率可以理解为二阶方向导数,即实际上是面向边缘检测滤波器。为了评估理论上的解释,我们的结果在合成和实时数据集中呈现。

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