天然气地球科学

• 天然气地质学 • 上一篇    下一篇

渤海湾盆地沧东凹陷孔二段致密储层孔隙结构定量表征

徐祖新,张义杰,王居峰,刘海涛,姜文亚   

  1. 1.中国石油勘探开发研究院,北京 100083;2.中国石油大港油田勘探开发研究院,天津 300280
  • 收稿日期:2015-06-01 修回日期:2015-07-22 出版日期:2016-01-10 发布日期:2016-01-10
  • 作者简介:徐祖新(1988-),男,湖北枝江人,博士研究生,主要从事非常规油气地质与评价研究. E-mail:xuzuxin-20081234@163.com.
  • 基金资助:

    国家科技重大专项“渤海湾盆地北部油气富集规律与增储领域研究”课题(编号:2011ZX05006-005);中国石油天然气股份公司重大专项(编号:2011D-07)联合资助.

Quantitative characterization of pore structure of the second member of Kongdian Formation tight reservoirs in Cangdong Sag

Xu Zu-xin,Zhang Yi-jie,Wang Ju-feng,Liu Hai-tao,Jiang Wen-ya   

  1. 1.Research Institution of Petroleum Exploration and Development,PetroChina,Beijing 100083,China;
    2.Exploration and Development Research Institute of Dagang Oilfield,PetroChina,Tianjin 300280,China
  • Received:2015-06-01 Revised:2015-07-22 Online:2016-01-10 Published:2016-01-10

摘要:

致密储层孔隙结构评价对致密油勘探开发具有重要意义。利用岩心观察、铸体薄片、扫描电镜(SEM)、氩离子抛光—扫描电镜(Ar-SEM)等多种方法,对比研究了致密砂岩、致密白云岩和泥页岩3类致密储层的孔隙结构特征及差异性。利用ImageJ软件处理和分析SEM图像及Ar-SEM图像。对SEM图像进行伪彩色增强,突出显示其孔隙结构特征,再利用灰度值定量识别了致密储层的孔隙;对Ar-SEM图像进行二值化处理,定量评价了储层中不同孔隙类型的孔隙数目、孔径大小、面孔率、分形维数等参数。

关键词: 致密储层, 孔隙结构, ImageJ软件, 定量表征, 沧东凹陷

Abstract:

Micro-structure evaluation of tight reservoir is the basis of tight oil exploration and development.Taking the tight reservoir of Ek2 in Cangdong Sag as an example,apply the core observation and description,casting thin sections,scanning electron microscopy (SEM),argon ion polishing and scanning electron microscopy (Ar-SEM) analysis,to study the pore structure characteristics of tight sandstone,tight dolomite and shale reservoir.On this basis,using ImageJ software to process and analyze the SEM and Ar-SEM image.The SEM image pseudo color enhancement can highlight the characteristics of pore structure,and a comparative research can be done on these three tight reservoirs such as throat shape,size,distribution and connectivity etc.After two value processing of Ar-SEM images,we can quantitatively evaluate the reservoir pore number,pore size,face rate parameters.

Key words: Tight reservoir, Pore structure, ImageJ software, Quantitative characterization, Cangdong Sag

中图分类号: 

  • TE122.2

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