页岩多尺度数字岩心及其应用

姬莉莉; 林缅; 江文滨; 曹高辉

doi:10.6052/1000-0992-24-006

页岩多尺度数字岩心及其应用

doi: 10.6052/1000-0992-24-006 cstr: 32046.14.1000-0992-24-006

姬莉莉^{1, 2},
林缅^{1, 2, ,},
江文滨^{1, 2, ,},
曹高辉¹

1.
中国科学院力学研究所, 北京 100190
2.
中国科学院大学工程科学学院, 北京 100049

基金项目: 国家自然科学基金重点项目 (42030808); 国家自然科学基金面上项目(41872163); 中国科学院战略性先导科技专项(A类)子课题(XDA14010304)资助.

详细信息

作者简介:
林缅, 中国科学院力学研究所研究员, 博士生导师, 主要从事非常规油气勘探开发中的跨尺度输运、页岩油气甜点预测新方法、致密油成藏中的关键力学问题、岩石压裂缝网的力学机制、二氧化碳储存预测等方面的研究. 在《Fuel》《Advances in Water Resources》《Journal of Petroleum Science and Engineering》等国际知名期刊发表论文五十余篇, 相关授权发明专利三十余项, 制定行业标准1个

通讯作者:
linmian@imech.ac.cn

jiangwenbin@imech.ac.cn

中图分类号: TE122
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- HTML全文浏览量: 63
- PDF下载量: 83
- 被引次数: 0
出版历程
- 收稿日期: 2024-01-10
- 录用日期: 2024-07-26
- 网络出版日期: 2024-08-10
- 刊出日期: 2024-09-25

The multiscale digital core of shale and its application

JI Lili^{1, 2},
LIN Mian^{1, 2
, ,},
JIANG Wenbin^{1, 2
, ,},
CAO Gaohui¹

1.
Institute of Mechanics, Chinese Academy of Sciences, Beijing 100190
2.
School of Engineering Science, University of Chinese Academy of Sciences, Beijing 100049

More Information

Corresponding author: linmian@imech.ac.cn; jiangwenbin@imech.ac.cn

摘要

摘要: 构建能完备表征岩石多尺度孔隙 (缝) 及基质结构的数字岩心是非常规油气研究领域的科技前沿问题, 也是页岩油气勘探开发的重要基础. 文章综合分析了国内外在表征页岩有机孔隙簇、多尺度孔 (缝) 结构和代表性单元体 (REV) 三个方面的研究进展, 在分析四川盆地海相页岩结构特征的基础之上, 提出了可完备表征其孔隙 (缝) 和基质结构的新方法. 最后, 将页岩数字岩心应用到多尺度孔 (缝) 结构对声学特性的影响和原位地层含气量评估方面, 为页岩储层评价和甜点预测提供了新的技术方法.
- 多尺度多组分数字岩心 /
- oREV /
- lREV /
- 数字-实验岩心 /
- 含气量评估
Abstract: Reconstructing digital core that can fully characterize the multiscale pore (fracture) and matrix structure of the rock is one of the most advancing front issue in the field of unconventional oil and gas research, and is also an important foundation for shale oil and gas exploration and development. This article comprehensively analyzes the research progress in characterizing organic pore clusters, multiscale pore (fracture) structures, and representative element volumes (REV) of shale. Based on the analysis of the structural characteristics of marine shale in the Sichuan Basin, a new method for fully characterizing its multiscsal pore (fracture) structure has been proposed. On this basis, the digital cores are applied to the impact of multiscale pore (fracture) structures on acoustic properties and the gas content evaluation, and provides new technical methods for shale reservoir evaluation and sweet spots prediction.
- multiscale and multicomponent digital core /
- oREV /
- lREV /
- digital-experimental core /
- shale reservoir evaluation

HTML全文

图 1 有机质内孔隙簇主要表征方法分类图

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图 2 叠加法分类图

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图 3 数字-实验岩心重构流程图

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图 4 超声波穿过岩心RC和岩心SC的波形差异 (a)总的波形差异, (b)孔隙结构差异引起的波形差异, (c)矿物差异引起的波形差异

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图 5 岩心RC和岩心SC的声速计算结果与实测值误差对比

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图 6 声速随孔隙度、渗透率的变化率图 (a)声速随孔隙度改变率 (b)声速随渗透率改变率

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图 7 页岩含气量计算方法流程图

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图 8 四川盆地五种典型有机孔分布特征图

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图 9 四川盆地五种典型有机孔结构在不同地层压力系数和地温梯度时的吸附气量和游离气量

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图 10 四川盆地五种典型有机孔结构由地层压力系数和地温梯度引起的吸附气量和游离气量差异图. (a)吸附气量相对于地层压力系数为1.3时变化率; (b)吸附气量相对于地温梯度为1.7时变化率; (c) 游离气量相对于地层压力系数为1.3时的变化率; (d)游离气量相对于地温梯度为1.7时的变化率

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图 11 含气量判识图版. 其中黑色原点为页岩样品. (a)单位质量有机质吸附气量 (b)单位质量游离气量

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图 12 四川盆地某口井含气量计算结果和实测数据的对比

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表 1 对比数字-实验岩心、CT图像和FIB-SEM图像的三维结构和物性参数

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