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首页> 外文会议>Joint International Computer Conference; 20031113-20031115; Zhuhai; CN >An Fracture Automatic Identification Algorithm in Imaging Logging
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An Fracture Automatic Identification Algorithm in Imaging Logging

机译：成像测井中的裂缝自动识别算法

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摘要

Imaging logging has become a research subject attracting wide attention. The key point is how to identify the fractures with the imaging information of the wells. Usually, the measured images are processed and the image noise is removed. Then edge detection technologies are used to determine those image pixels representing the fractures. Curve fitting technologies are used further. There is a shortcoming of the traditional methods: image enhancing and fracture identifying are performed independently. To overcome this shortcoming, a fracture identification algorithm is proposed below. Local fractures take the plane shape. The common line of a fracture plane with the well wall is an ellipse which taking the form of a sine curve after the unfolding up of the well wall. To simplify the identification problem, it reduced the task of fitting out a sine curve into a series of tasks of fitting out a line. For a tested angle γ of the fracture plane to the paper plane, a line rather a sine curve was fitted out. Found out the optimal γ which produced the minim total distance of the fracture sampling points to the fitted line. A real problem was analyzed. The results showed a good performance.
机译：成像测井已经成为引起广泛关注的研究课题。关键是如何利用井的成像信息识别裂缝。通常，对测量的图像进行处理并去除图像噪声。然后使用边缘检测技术确定代表裂缝的那些图像像素。进一步使用曲线拟合技术。传统方法有一个缺点：图像增强和骨折识别是独立进行的。为了克服这个缺点，下面提出一种裂缝识别算法。局部骨折呈平面形状。裂缝平面与井壁的共同线是椭圆形，在井壁展开后呈椭圆正弦曲线形式。为了简化识别问题，它把拟合正弦曲线的任务减少为拟合直线的一系列任务。对于断裂面与纸面的测试角度γ，拟合出一条线，而不是正弦曲线。找出最佳γ，使裂缝取样点到拟合线的总距离最小。分析了一个实际问题。结果显示出良好的性能。

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