超声测井图像过井裂缝提取算法研究

Research on the extraction of incline fracture of ultrasonic logging image

在石油天然气超声测井中,裂缝是油藏和储层非均质研究中的重要参考依据,裂缝参数的提取是成像测井资料解释的重要技术之一。而在测井中,过井裂缝是最主要的裂缝形态。因此研究过井裂缝的提取对测井资料的进一步解释具有重要意义。针对现有的过井裂缝提取算法抗干扰能力差,提出了一种基于边缘检测的过井裂缝提取算法。该算法首先通过限定对比度直方图均衡化提高测井图像的对比度,提高边缘检测的准确性。为进一步提高其抗干扰性,对检测的边缘图像进行自适应滤波和形态学处理。最后,通过降维后的Hough变换提取裂缝。实验结果表明,该算法所需要设置的参数较少,所提取的裂缝准确度较高,抗干扰性较好。可以基本实现测井图像中过井裂缝的有效提取。

As to the weak antijamming capability of existing fracture extraction method,a new extraction method for incline fractur e is proposed based on edge detection.Firstly,the contrast-limited histogram equalization is used to improve the contrast of logging image.Secondly,in order to improve the stabi lity of extraction,adaptive filter and morphology processing are used for the detected edge image.Lastly,the frac ture is extracted by dimension reduction Hough Transform.The experimental results demonstrate tha t the method has high accuracy of the extracted fracture,high stability and fewer free param eters.The proposed method has achieved efficient extraction of incline fracture.