波谱学杂志 ›› 2021, Vol. 38 ›› Issue (2): 215-226.doi: 10.11938/cjmr20202856

• 研究论文 • 上一篇    下一篇

利用核磁共振资料定量评价页岩孔隙结构

孟昆1,2,王胜建2,*(),薛宗安2,侯瑞卿3,肖亮1   

  1. 1. 中国地质大学(北京), 北京 100083
    2. 中国地质调查局油气资源调查中心, 北京 100083
    3. 中石化胜利石油工程有限公司 地质录井公司, 山东 东营 257064
  • 收稿日期:2020-09-21 出版日期:2021-06-05 发布日期:2020-11-06
  • 通讯作者: 王胜建 E-mail:wshj0908@163.com
  • 基金资助:
    国家科技重大专项(2016ZX05034-004);中国地质调查局资助项目(DD20201172)

Quantitative Evaluation of Shale Pore Structure Using Nuclear Magnetic Resonance Data

Kun MENG1,2,Sheng-jian WANG2,*(),Zong-an XUE2,Rui-qing HOU3,Liang XIAO1   

  1. 1. China University of Geosciences, Beijing 100083, China
    2. Oil & Gas Survey, China Geological Survey, Beijing 100083, China
    3. Geological Logging Company, Sinopec Shengli Petroleum Engineering Corporation Limited, Dongying 257064, China
  • Received:2020-09-21 Online:2021-06-05 Published:2020-11-06
  • Contact: Sheng-jian WANG E-mail:wshj0908@163.com

摘要:

页岩气储层的孔隙结构复杂且非均质性较强,导致储层表征及有效性评价面临极大挑战.为了建立页岩气储层孔隙结构的定量评价方法,本文选取了鄂西宜昌地区陡山沱组二段20块岩心,采用0.069 ms的回波间隔开展饱含盐水状态下的核磁共振(NMR)实验.在此基础上,对T2谱进行了多重分形特征分析,提取了对页岩气储层孔隙结构较敏感的参数,并建立了基于最小与最大广义分维数差值(Dmin-Dmax)和谱宽(Δα)划分页岩气储层类型的方法及标准.该方法对于有效提高页岩气储层的预测精度、指导开发选层等具有重要意义.

关键词: 页岩气储层, 核磁共振, 孔隙结构, 低回波间隔, 多重分形理论

Abstract:

The pore structure of shale gas reservoir is complex and heterogeneous, leading to great challenges in reservoir characterization and effectiveness evaluation. In order to establish a quantitative evaluation method for pore structure of the shale gas reservoir, 20 cores of the second member of Doushantuo Formation in Yichang area, western Hubei were selected as the experimental sample. An echo interval of 0.069 ms was used to carry out nuclear magnetic resonance (NMR) experiments under 100% salt water saturation. The obtained T2 spectra were analyzed with the multifractal characteristics method, and the parameters sensitive to the pore structure of the shale reservoirs were extracted. A method and a standard to classify shale reservoir types were developed, based on the minimum and maximum generalized fractal dimension difference (Dmin-Dmax) and spectral width (Δα). This method is of great significance for improving the prediction accuracy of shale gas reservoirs and guiding development and selection.

Key words: shale gas reservoir, nuclear magnetic resonance (NMR), pore structure, low echo interval, multifractal theory

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