摘要
提出了一种用视频图像进行试井解释的方法,依据视频图像上物体的大小,利用摄像机镜头光学成像原理计算井筒内落物的尺寸;根据视频图像的特点,选择图像的特定部分进行二值化处理以分离出油和背景,计算出指定深度的准含油率;对视频图像先进行平滑处理,再用高斯拉普拉斯算子进行边缘检测计算出指定深度段内的射油孔数;利用图像几何校正技术,将椭圆的套管边缘校正为垂直井轴的类圆边缘。
A method of well test interpretation with video image was presented. According to the size of the object on the video image, the size of target in the well was calculated by using camera lens optics imaging principle. Based on the characteristics of the video image, the particular part of the image was binarized to separate oil and background, so analogous oil ratio in appointed depths could be calculated. First smoothing process was applied to the video images, and then the number of the oil holes in the appointed depths was calculated out by the edge detection of Gauss Laplace operator. The ellipse edge of the casting was revised to round-like edge of vertical well axle based on geometric rectification technology.
出处
《计算机应用》
CSCD
北大核心
2007年第8期2084-2086,共3页
journal of Computer Applications
关键词
视频编解码
含油率
物体尺寸
射油孔
几何校正
video coding and decoding
oil ratio
target size
oil hole
geometric rectification
