论文部分内容阅读
海相碳酸盐岩储层中,裂缝是重要的流体储集空间和油气运移通道,研究裂缝参数的智能拾取方法对有效评价碳酸盐岩储层具有重要的意义。成像测井数据经处理后可得到全井壁高分辨率的图像,而裂缝面与井筒的交线在图像上的形态特征呈现为单周期的正弦曲线,应用哈夫变换的点—线对偶性拾取图像中的裂缝角度等信息,可得到较好的处理结果。同时针对图像中待检测对象(正弦曲线)自身的特点,探讨了改进的哈夫变换算法,在不降低拾取精度的基础上,极大地提高了程序的运算速度,为快速、准确地评价裂缝性碳酸盐岩储层井壁的地质特征提供了技术支持。
In marine carbonate reservoirs, fractures are important fluid reservoirs and hydrocarbon migration channels. It is of great significance to study the intelligent pick-up method of fracture parameters for effective evaluation of carbonate reservoirs. After the imaging logging data are processed, the full-borehole high-resolution image can be obtained, while the morphological characteristics of the intersection of the fracture surface and the wellbore appear as a single-period sinusoidal curve. By applying the Hough transform point-line duality Pick up the image in the crack angle and other information, get better processing results. At the same time, according to the characteristics of the object to be detected (sinusoid) in the image, the improved Huff transformation algorithm is discussed, which not only reduces the pick-up precision but also greatly improves the operation speed of the program. In order to quickly and accurately evaluate the crack The geological features of the carbonate reservoir shaft wall provide technical support.