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- 2018
钻孔图像特征分析与结构面区域划分方法
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Abstract:
数字式全景钻孔摄像系统在实践钻探工程中获得了大量的高精度钻孔图像, 这些钻孔图像数据往往需要人为进行分段处理和信息加工预处理, 工作量大并且具有盲目性．针对该问题, 本文进行了钻孔图像特性分析, 并提出了一种对钻孔图像进行结构面区域划分的方法．该方法利用井壁中岩体结构成像灰度梯度纵向投影的极值特征来组成新的合成信号和便于计算机处理的区域划分信号, 从而实现了钻孔图像的区域划分以及结构面产状范围的初步限定．该方法能够连续快速地对整个钻孔图像内所有的结构面进行区域划分, 无需人为干预, 为结构面的全自动识别与参数提取奠定了基础, 也为深孔钻井工程中图像数据的分块处理提供了一种有效的解决方案．
Digital panoramic borehole camera system can obtain abundant high-precision borehole images from the drilling operations. These images usually need to be divided into many segments and require pretreatment for later information processing，which is time-consuming，aimless and tedious work by manual operation. To deal with this problem，a method of structural planes’ region partition in a whole borehole image is proposed after the analysis of characteristic signals in the image. This method uses the extreme eigenvalues of gray gradient signals from the imaging of borehole rock mass in vertical projection to compose a new signal and a partitioning signal which is convenient for computer processing. It realizes the region division of structural planes in the whole borehole image and the primary limitation of joints occurrence in rock mass. This method can partition all the structural planes from the whole borehole image in rapid succession without human intervention. It lays a foundation for the full-automatic recognition and parameter extraction of structural planes in borehole image，and also provides an effective way of borehole image region division for drilling operations of a deep hole
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