Structural Planes Parameters Extraction Method Based on Borehole Digital Optical Image and GPR

L. Li, F. Long, T. Sun, Z. Han, X. Tang, W.Z. Ren
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Abstract

This paper combines the borehole ground penetrating radar imaging and digital optical borehole imaging, presents an efficient method to recognize and extract the structural planes parameters of rock mass. In this method, it's necessary to transform the digital optical image in color modeling. Processing such as segmentation and edge refinement are essential steps. Afterwards, matching algorithm is employed by using a transform of sinusoidal curve to extract the fitting parameters. Finally, the image feature data acquired by the borehole GPR image is integrated for verification. With this method, the physical and geometrical characteristics of the rock mass at and around the borehole can be revealed. It can effectively exert the respective characteristics of the two exploration technologies to identify the structural planes in a continuous and rapid way. It has proven highly reliable and efficient.
基于钻孔数字光学图像和探地雷达的结构面参数提取方法
结合钻孔探地雷达成像和数字光学钻孔成像,提出了一种有效的岩体结构面参数识别与提取方法。在该方法中,需要对数字光学图像进行彩色建模变换。分割和边缘细化等处理是必不可少的步骤。然后,采用正弦曲线变换的匹配算法提取拟合参数。最后,对井眼探地雷达图像获取的图像特征数据进行整合验证。利用该方法可以揭示井内及井周岩体的物理和几何特征。它可以有效地发挥两种勘探技术各自的特点,连续快速地识别构造面。它已被证明是高度可靠和高效的。
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