基于渗流模型的成像测井裂缝提取算法  

Extraction algorithm of imaging well logging crack based on percolation model

作　　者：韦宇飞 吴晓红[1] 袁传虎[1] 刘如奎[1] 

机构地区：[1]四川大学电子信息学院,四川成都610064

出　　处：《太赫兹科学与电子信息学报》2014年第2期272-275,共4页Journal of Terahertz Science and Electronic Information Technology

基　　金：国家自然科学基金资助项目(60972130)

摘　　要：针对成像测井图像成分复杂,噪声多导致裂缝提取效果不佳的问题,提出基于渗流模型的成像测井裂缝提取算法。该算法把成像测井图像裂缝像素点之间的连续性作为成像测井裂缝提取的主要依据,通过对初始像素点进行不断渗流,产生一个与初始像素点相关性极强的线性渗流区域,再通过计算该渗流区域像素点的渗流参数来判断当前像素点是否属于裂缝上的目标。实验表明,基于渗流模型的成像测井裂缝提取算法能有效抑制噪声和剔除孔洞等非裂缝物质,能在复杂成像测井图像中准确地提取裂缝。Most image segmentation algorithms for extraction of the imaging well logging crack are ineffective because of the complex composition and noises. A new extraction algorithm for imaging well logging crack based on percolation model is proposed. The algorithm uses the continuity of the crack pixels as the basis for extraction, and a linear seepage area that is closely related to the initial pixel is generated through the gradual percolation of the initial pixel. Then, by calculating the percolation parameters of the pixels in percolation area to determine whether the current pixel is the target of the crack. Experimental results show that the proposed algorithm can effectively suppress noises and remove holes and other substances, as well as can extract cracks accurately in complex imaging well logging images.

关 键 词：渗流模型 成像测井 裂缝 渗流参数 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]