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    页岩基质微观孔隙结构分析新方法

    杨永飞 王晨晨 姚军 胡蓉蓉 孙海 赵建林

    杨永飞, 王晨晨, 姚军, 胡蓉蓉, 孙海, 赵建林, 2016. 页岩基质微观孔隙结构分析新方法. 地球科学, 41(6): 1067-1073. doi: 10.3799/dqkx.2016.088
    引用本文: 杨永飞, 王晨晨, 姚军, 胡蓉蓉, 孙海, 赵建林, 2016. 页岩基质微观孔隙结构分析新方法. 地球科学, 41(6): 1067-1073. doi: 10.3799/dqkx.2016.088
    Yang Yongfei, Wang Chenchen, Yao Jun, Hu Rongrong, Sun Hai, Zhao Jianlin, 2016. A New Method for Microscopic Pore Structure Analysis in Shale Matrix. Earth Science, 41(6): 1067-1073. doi: 10.3799/dqkx.2016.088
    Citation: Yang Yongfei, Wang Chenchen, Yao Jun, Hu Rongrong, Sun Hai, Zhao Jianlin, 2016. A New Method for Microscopic Pore Structure Analysis in Shale Matrix. Earth Science, 41(6): 1067-1073. doi: 10.3799/dqkx.2016.088

    页岩基质微观孔隙结构分析新方法

    doi: 10.3799/dqkx.2016.088
    基金项目: 

    国家自然科学基金项目 51490654

    高等学校学科创新引智计划项目 B08028

    国家自然科学基金项目 51234007

    中央高校基本科研业务费专项基金资助项目 14CX05026A

    教育部科学技术研究重大项目 311009

    国家自然科学基金项目 51304232

    长江学者和创新团队发展计划资助项目 IRT1294

    高等学校博士学科点专项科研基金资助课题 20120133120017

    详细信息
      作者简介:

      杨永飞(1982-),男,副教授,博士,从事油气田开发相关科研和教学工作.E-mail: feiyongyang@163.com

      通讯作者:

      姚军,E-mail: RCOGFR_UPC@126.com

    • 中图分类号: P618.13

    A New Method for Microscopic Pore Structure Analysis in Shale Matrix

    • 摘要: 页岩基质孔隙主要包含有机孔隙和无机孔隙,页岩油气在有机孔隙和无机孔隙中的渗流机理不同,对页岩中有机孔隙和无机孔隙的微观结构进行定量表征具有重要意义.首先通过扫描电子显微镜(scanning electron microscope,简称SEM)实验分别获取具有代表性的页岩无机孔隙和有机孔隙扫描电镜图像,其中,无机孔隙相对较大,其图像的分辨率较低,有机孔隙相对较小,其图像的分辨率较高;然后,通过图像处理和马尔可夫链蒙特卡洛(Markov chain Monte Carlo,简称MCMC)法重构出相应的无机孔隙数字岩心和有机孔隙数字岩心,并提出局部叠加法构建同时包含无机孔隙和有机孔隙的页岩基质孔隙数字岩心;最后对无机孔隙数字岩心、有机孔隙数字岩心和基质孔隙数字岩心的结构特征进行了对比分析.结果表明,局部叠加法构建的页岩基质孔隙数字岩心能够同时描述页岩中的无机孔隙和有机孔隙结构特征,无机孔隙本身连通性较差,有机孔隙本身连通性较好,有机孔隙的局部孔隙度和局部渗透率较高,对页岩中的流体渗流有着重要作用.该方法为页岩中不同的孔隙结构特征描述和油气在纳米尺度孔隙中的传输模拟提供了一个可靠的研究平台.

       

    • 图  1  页岩基质孔隙分类

      Loucks et al.(2012)

      Fig.  1.  Classification of shale matrix pores

      图  2  页岩不同孔隙的代表性SEM图像

      a.页岩无机孔隙;b.页岩有机孔隙

      Fig.  2.  Different typical pore SEM images in shale rock

      图  3  页岩不同孔隙二值图像

      a.页岩无机孔隙;b.页岩有机孔隙;白色表示岩石骨架,黑色表示岩石孔隙

      Fig.  3.  Binary images of different pores in shale rocks

      图  4  基于MCMC法重构的数字岩心

      a.无机孔隙数字岩心;b.有机孔隙数字岩心

      Fig.  4.  The reconstructed digital rock with MCMC method

      图  5  基于局部叠加法构建的页岩基质孔隙数字岩心

      Fig.  5.  Shale matrix pore digital rock with local superposition method

      图  6  基于数字岩心提取得到的孔隙网络模型

      a.无机孔隙网络模型;b.有机孔隙网络模型;c.页岩基质孔隙网络模型

      Fig.  6.  Pore network model extracted from digital rock

      图  7  页岩不同孔隙网络模型结构特征对比

      a.孔隙半径分布;b.形状因子分布;c.喉道长度分布;d.配位数分布

      Fig.  7.  Structure properties comparison of different pore network models in shale rocks

      表  1  页岩不同孔隙网络模型基本结构参数

      Table  1.   Basic structure parameters of different pore network model in shale rock

      网络模型参数 无机孔隙网络模型 有机孔隙网络模型 基质孔隙网络模型
      模型尺寸(μm3) 3.0×3.0×3.0 1.5×1.5×1.5 3.0×3.0×3.0
      孔隙数目(个) 4735 67647 69011
      喉道数目(个) 6472 116804 123106
      平均配位数 2.71447 3.447 54 3.562 42
      网络孔隙度 0.071 0.127 0.115
      绝对渗透率(nD) 2.3 10.8 7.7
      下载: 导出CSV
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