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为了从电成像资料中提取定量信息,其重要的步骤就是要对从实际电成像测井资料中分离出反映孔洞、裂缝的子图像,然后用相应的方法对分割后的子图像进行分析处理,提取相应参数。文章通过研究大量图像分割算法,认为奇异点多阈值分割算法、基于过渡区的分割算法、Hopfield网络方法、基于图像间模糊散度的阈值化算法是电成像测井图像分割的有效方法,实现了从图像中将地层中有用目标从背景中分离出来。同时,为了得到孔洞及裂缝的形状参数,文章还研究了轮廓跟踪标识边缘的方法以及根据标识的边缘进行填充的算法。在此基础上,也研究了根据目标边缘坐标计算目标的长度、宽度、圆度、裂缝密度、孔洞密度等参数的方法。上述所有方法已在SUN工作站GeoFrame平台上开发成功,用LX101等8口井的处理结果与岩心分析数据对比,表明其效果较好。
In order to extract the quantitative information from the electrical imaging data, an important step is to separate the sub-images that reflect the holes and cracks from the actual electrical imaging logging data, and then analyze the sub-images with the corresponding methods. Extract the corresponding parameters. By studying a large number of image segmentation algorithms, it is considered that singularity multi-threshold segmentation algorithm, transition region segmentation algorithm, Hopfield network method and thresholding algorithm based on inter-image fuzzy divergence are effective methods for electrical imaging logging image segmentation. Separation of useful targets in the formation from the background from the image. In the meantime, in order to get shape parameters of holes and cracks, the paper also studies the method of contour tracking to identify edges and the algorithm of filling according to the marked edges. On this basis, the method of calculating parameters such as length, width, roundness, crack density and hole density according to the target edge coordinate is also studied. All the above methods have been successfully developed on the GeoFrame platform of SUN workstation. Compared with the core analysis data, the processing results of eight wells such as LX101 show that the method is better.