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利用图像处理技术进行荧光图像的自动解释

Automatic interpretation of fluorescence image by using image processing technique

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【作者】 文慧俭崔延君

【Author】 Wen Huijian( Daqing Petroleum Institute, Daqing 163318, China), Cui Yanjun.

【机构】 大庆石油学院吉林油田公司测井公司 黑龙江大庆163318吉林松原138000

【摘要】 荧光图像解释自动化和定量化是提高荧光录井解释精度、降低工作量的重要措施,文中利用计算机图像处理技术,对荧光图像进行了色度学定量分析,测试参数为红(R)、绿(G)、蓝(B)三基色刺激值和R、G、B色度坐标。在对荧光颜色进行了聚类分析的基础上,对荧光图像每一种颜色的波长和相对强度进行了计算,绘制了荧光图像的光谱特征图。结果表明利用计算机技术进行荧光图像自动、定量解释是可行的,该方法可以计算出每一种孔隙流体波长范围、相对强度分布特征以及发光面积等信息,这对油层水淹程度的定量解释具有重要应用价值。

【Abstract】 It is an important measure to raise the precision and reduce the workload of geologic logging interpretation that the fluorescence images are interpreted automatically and quantificationally. By means of computer image processing technique, the fluorescence images are analyzed in the light of colorimetry theory. The measured parameters are the tristimulus values of three primary colors (i.e. red, green and blue) and the chromaticity coordinates of these three. The wavelength and the relative fluorescence intensity of each color were calculated in fluorescence images based on clustering analysis to fluorescence colors and the spectrum charicteristics of fluorescence images are drawn out. The research result indicated that the automatic and quantificational interpretation of fluorescence image is feasible by using computer technique. The wavelength scope and the distribution of relative fluorescence intensity and luminescence area of each kind of pore fluid are calculated by the methods. It has an important value to quantificationally interpret the degree of water flooding in oil layers.

  • 【文献出处】 断块油气田 ,Fault-Block Oil & Gas Field , 编辑部邮箱 ,2008年01期
  • 【分类号】P631.8
  • 【被引频次】2
  • 【下载频次】175
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