新疆石油地质

新疆石油地质 ›› 2011, Vol. 32 ›› Issue (6): 664-666.

• 应用技术 • 上一篇    下一篇

基于CT 成像的三维高精度储集层表征技术及应用

佘敏1a,1b, 寿建峰1a,1b, 郑兴平1a,1b, 张天付1a,1b, 董虎2   

  1. 1.中国石油a.杭州地质研究院,b.碳酸盐岩储集层重点实验室杭州 310023;
    2.帝国理工学院地球科学与工程系,伦敦 SW7 2AZ
  • 收稿日期:2011-01-06 出版日期:2011-12-01 发布日期:2020-08-20
  • 作者简介:佘敏（1983-）,男,安徽六安人,硕士,实验地球化学,（Tel）0571-85224994（E-mail）shem_hz@petrochina.com.cn.

3D High Resolution Reservoir Characterization Technique Based on CT Imaging and Application

SHE Min1,2, SHOU Jian-feng1,2, ZHENG Xing-ping1,2, ZHANG Tian-fu1,2, DONG Hu3   

  1. 1. Hangzhou Institute of Geology, PetroChina, Hangzhou, Zhejiang 310023, China;
    2. Key Laboratory of Carbonate Reservoir, CNPC, Hangzhou, Zhejiang 310023, China;
    3. Department of Earth Science and Engineering, Imperial College London, London SW7 2AZ, UK
  • Received:2011-01-06 Online:2011-12-01 Published:2020-08-20

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摘要： 运用基于CT 成像的三维高精度储集层表征技术,分别对砂岩、白云岩岩心和玄武岩露头样品进行了微观孔隙结构研究,主要包括CT 扫描成像、图像处理和属性计算。根据CT 扫描数据,建立了分析样品的固体相、孔隙相的三维可视化图像。针对砂岩样品,还计算出孔隙度和渗透率值,并将计算结果与常规测定结果进行了比较,结果表明,运用此项技术进行微观孔隙结构的研究,具有对样品的要求低、结果直观、数据丰富以及效率高等优势。

关键词: CT 成像, 储集层表征, 孔隙结构, 砂岩, 白云岩

Abstract: Applying 3D high resolution reservoir characterization technique based on CT imaging, the sandstone core plug, dolomite core plug and basalt outcrop sample have been analyzed for researching their micro-pore textures. The work includes the sample preparing, CT scanned imaging, image processing, and attributes calculating. According to the CT scanning data, the 3D visualization images of solid phase and pore phase of the samples have been also built. For sand core plug, relative statistics of pores is conducted and the petrophysical properties (porosity and permeability) are obtained by computing. The data of porosity and permeability are compared to conventional laboratory measurement on the same cores with good agreement. The study shows that the research of micro-pore texture using 3D high resolution reservoir characterization technique based on CT imaging has many advantages, including low requirement for sample, more visual result, more abundant data and higher efficiency.

Key words: CT imaging, reservoir characterization, pore texture, sandstone, dolomite

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