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核磁共振技术在页岩油气储层评价中的应用

孙中良 李志明 申宝剑 祝庆敏 李楚雄

孙中良, 李志明, 申宝剑, 祝庆敏, 李楚雄. 核磁共振技术在页岩油气储层评价中的应用[J]. 石油实验地质, 2022, 44(5): 930-940. doi: 10.11781/sysydz202205930
引用本文: 孙中良, 李志明, 申宝剑, 祝庆敏, 李楚雄. 核磁共振技术在页岩油气储层评价中的应用[J]. 石油实验地质, 2022, 44(5): 930-940. doi: 10.11781/sysydz202205930
SUN Zhongliang, LI Zhiming, SHEN Baojian, ZHU Qingmin, LI Chuxiong. NMR technology in reservoir evaluation for shale oil and gas[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2022, 44(5): 930-940. doi: 10.11781/sysydz202205930
Citation: SUN Zhongliang, LI Zhiming, SHEN Baojian, ZHU Qingmin, LI Chuxiong. NMR technology in reservoir evaluation for shale oil and gas[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2022, 44(5): 930-940. doi: 10.11781/sysydz202205930

核磁共振技术在页岩油气储层评价中的应用

doi: 10.11781/sysydz202205930
基金项目: 

国家自然科学基金项目 42090022

中国石化科技开发部项目 P20049-1

详细信息
    作者简介:

    孙中良(1993-), 男, 硕士, 工程师, 从事页岩油气地质研究。E-mail: sunzhl8188.syky@sinopec.com

    通讯作者:

    李志明(1968-), 男, 博士, 研究员, 从事油气地球化学、页岩油气地质研究。E-mail: lizm.syky@sinopec.com

  • 中图分类号: TE122.24

NMR technology in reservoir evaluation for shale oil and gas

  • 摘要: 自非常规油气业务开展以来,核磁共振技术因其无损、灵敏、快速等优点,已发展为页岩油气储层评价的重要技术方法之一。该文从核磁共振技术的实验原理出发,着重综述了目前核磁共振技术在全尺度一体化表征页岩孔缝分布、孔隙度、孔隙润湿性、流体可动性及流体分类等页岩油气储层研究难点方面的应用。除此之外,在描述水的迁移、甲烷吸附和解吸以及二氧化碳置换等流体行为,获取有机质信息、油页岩界面面积,判断有机孔、无机孔,分析孔隙连通性,获取高黏性沥青和干酪根有关信息等方面的应用也做了简单介绍。最后分析了核磁共振分析技术目前存在的不足以及在页岩储层评价中的发展趋势。

     

  • 图  1  核磁共振中氢质子在磁场中的变化

    Figure  1.  Changes of hydrogen protons in magnetic fields in NMR

    图  2  页岩在核磁共振下的T2谱图特征[31]

    富有机质页岩样品,包括无平面缝和有平面缝(缝宽分布为1.5,4.5,7.5 μm);红色箭头表示随裂缝宽度减小,T2峰谱图左移,黑色箭头表示裂缝与孔隙存在扩散耦合作用

    Figure  2.  Characteristics of T2 spectra of shale under NMR

    图  3  水测孔隙度与核磁孔隙度关系[38]

    Figure  3.  Relationship between conventional and NMR porosity

    图  4  不同磁场下不同回波间隔条件下的孔隙度大小及对比[40]

    Figure  4.  Porosity size and comparison under different magnetic fields and different echo intervals

    图  5  岩样离心前后T2谱比较[41]

    Figure  5.  T2 spectrum comparison of rock samples before and after centrifugation

    图  6  在500 psi压力下注入盐水和柴油10 min后页岩岩心的核磁共振液体积随T2的变化[46]

    Figure  6.  Incremental NMR fluid volume as a function of T2 for shale core before and after brine and diesel injection at 500 psi for 10 min

    图  7  孔隙介质中不同流体组分的二维核磁共振信息分布[52]

    Figure  7.  Two-dimensional NMR information distribution of different fluid components in porous media

    图  8  流体或质子分类T1T2模型[55, 57]

    Figure  8.  T1-T2 model for fluid or proton classification

    表  1  核磁共振与其他实验孔隙度评估结果对比

    Table  1.   Comparison of NMR and other experimental porosity evaluation results

    文献来源 样品 总孔隙度/% 相对误差/%
    ΦN2 ΦMIP ΦHe ΦNMR R1 R2 R3
    HINAI等[34] C1 2.78 3.78 11.4 75.6 66.8
    C2 4.15 3.05 10.8 61.6 71.8
    C3 1.93 3.17 6.7 71.2 52.7
    C5 2.92 3.03 14.2 79.4 78.6
    C7 3.11 3.54 11.6 73.2 69.5
    C8 3.22 3.56 14.0 77.0 74.5
    XU等[35] NM-1 38.60 40.59 4.9
    NM-3 39.73 42.21 5.8
    NM-4 42.78 46.98 8.9
    NM-6 35.73 37.24 4.0
    ZHANG等[36] L76-2 7.21 7.08 1.8
    F41-2 6.37 5.92 7.6
    L76-1 5.41 5.44 0.5
    Y556-3 1.60 1.44 11.1
    Y556-2 8.74 9.99 12.5
    注: ФN2ФMIPФHeФNMR分别为氮气吸附法、MIP法、氦气法、NMR法的总孔隙度;R1=(ФNMR -ФN2) /ФNMR×100;R2 =(ФNMR -ФMIP) /ФNMR×100;R3=(ФNMR -ФHe)/ФNMR×100。
    下载: 导出CSV
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  • 收稿日期:  2021-09-09
  • 修回日期:  2022-07-29
  • 刊出日期:  2022-09-28

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