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多孔介质中甲烷水合物边界的CT图像识别技术
引用本文:张巍,李承峰,刘昌岭,胡高伟,孟庆国,黄向东,赵仕俊.多孔介质中甲烷水合物边界的CT图像识别技术[J].CT理论与应用研究,2016,25(1):13-22.
作者姓名:张巍  李承峰  刘昌岭  胡高伟  孟庆国  黄向东  赵仕俊
作者单位:1. 中国石油大学(华东)信息与控制工程学院, 山东 青岛 266555;
基金项目:国家自然科学基金(41506082,41376078,41104086,41302034).
摘    要:采用X射线计算机断层扫描(X-CT)技术观测多孔介质中天然气水合物的生成和分解过程,具有实时、直观和无损等优点。由于颗粒物边缘图像容积效应和X-CT分辨率的限制,多孔介质体系中不同物质的边界域难以确定,从而影响对多孔介质中水合物赋存状态的准确判断。利用Matlab平台图像处理软件中的开闭运算、多值化、梯度图像提取和边缘检测等方法,对实验获得的多孔介质中甲烷水合物的CT图像进行优化处理,获得了更清晰的图像,可有效地提高多孔介质中不同物质边界域的识别效果,有利于准确判断甲烷水合物在多孔介质中的赋存状态。 

关 键 词:甲烷水合物    Matlab    边缘检测    X射线CT
收稿时间:2015-09-18

Identification Technology of the CT Images for Distinguishing the Boundary Condition of Methane Hydrate in Porous Media
ZHANG Wei,LI Cheng-feng,LIU Chang-ling,HU Gao-wei,MENG Qing-guo,HUANG Xiang-dong,ZHAO Shi-jun.Identification Technology of the CT Images for Distinguishing the Boundary Condition of Methane Hydrate in Porous Media[J].Computerized Tomography Theory and Applications,2016,25(1):13-22.
Authors:ZHANG Wei  LI Cheng-feng  LIU Chang-ling  HU Gao-wei  MENG Qing-guo  HUANG Xiang-dong  ZHAO Shi-jun
Institution:1. College of Information and Control Engineering, China University of Petroleum, Qingdao 266555, China;2. Key Laboratory of Gas Hydrate, Ministry of Land and Resources. Qingdao Institute of Marine Geology, Qingdao 266071, China;3. Laboratory for Marine Mineral Resources, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266071, China;4. Petroleum Instrument Research Institute, China University of Petroleum, Dongying 257061, China
Abstract:X-ray tomography technology(X-CT) can be used to observe the formation and decomposition processes of natural gas hydrate in porous medium, with the advantages of real-time, intuitive and lossless. However, the boundary region condition of different materials in sediment system is difficult to be determined due to the volume effect of particle edge image and low resolution, resulting in reducing the identification accuracy of gas hydrate occurrence in sediments. The Matlab platform image processing software was used for optimum processing of the CT images obtained from the experiment of methane hydrate in porous media. The results show that a more clear and distinguishable image can be obtained after optimizing the CT image with opening and closing operation, multi-value, gradient edge detection and image extraction methods, which can effectively help enhancing recognition for different boundary conditions of materials and improving the identification of methane hydrate occurrence in porous media. 
Keywords:methane hydrate  Matlab  edge detection  X-CT
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