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Application of steerable pyramid decomposition in minor faults imaging

机译:可控金字塔分解在次要故障成像中的应用

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Minor faults portraying correctly is important in the reservoir characterization for exploration and exploitation activity. The characteristic of minor faults in seismic data is marginal, but the basic theories and methods of edge detection now are limited. In the paper, the basic principle of decomposition and construction of Steerable Pyramid which is used to detect minor faults is introduced in detail. When the image was input, we can not only analyze the characteristics and distribution of faults in different scales and orientations after decomposition of Steerable Pyramid, but also get faults in itself not the marginal through the dominance of function S. The application of Steerable Pyramid decomposition in a real time slice proves that the application of Steerable Pyramid to detect and image the minor faults is successful. But the effect is susceptible to parameters, such as k, T, and smoothing parameter, which are selected based on the characters of inputting figure.
机译:在勘探和剥削活动的储层表征中正确描绘了次要故障在勘探和剥削活动的储层表征中非常重要。地震数据中次要故障的特征是边缘的,但​​现在边缘检测的基本理论和方法是有限的。在本文中,详细介绍了用于检测次要故障的可转向金字塔的分解和构造的基本原理。当输入图像时,我们不仅可以分析可转向金字塔的不同尺度和方向的故障的特点和分布,而且通过功能S的主导地位,本身就没有边缘的故障。可转向金字塔分解的应用在实时切片证明,可操纵的金字塔用于检测和图像的次要故障是成功的。但效果易于参数,例如K,T和平滑参数,这是基于输入图的特性选择的。

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