图像识别技术在油井射孔质量检测中的应用

Application of Image Identification to Quality Detecting of the Well Perforation

将先进的图像识别技术应用到油井射孔质量检测当中而彻底改变传统的根据子弹发射情况来判断射孔状况的落后方法。对井下射孔图像进行特定预处理之后用判断圆周长、面积等信息的方法来对射孔数量进行检测;并且利用不同线的三点确定一个圆的几何特性建立快速、准确的射孔位置识别算法,对射孔各参数做出进一步判断。形成了一个基于VC++6.0平台,并融合数字图像处理技术为一体的完整质量检测系统。模拟实验表明,该系统实时性好、所检测参数充分并且准确度较高,可以应用到射孔检测当中去。

Using the technology of image identification in quality detecting to the well perforation, the unenlightened method of observing the bullets-shooting status is thoroughly changed. After specific pretreatment for the well perforation image, the method of estimating the perimeter and area information can be used to detecting the amount of the perforation. Then a fast and exact positional identification method is gotten, through the principle that the characters of three points can define a circle, to detect other parameters of the perforation. An integrated system is formed, based on the VC＋＋ 6.0 and together with the technology of digital image manipulation. The simulating results also show that the system has a good real time and the recognition result is also good. This method can be used to detect the image of perforation.