深层高阶煤层CO<sub>2</sub>-ECBM技术研究与应用启示——以沁水盆地晋中地区为例

郑永旺; 崔轶男; 李鑫; 肖翠; 郭涛; 张登峰

doi:10.11781/sysydz2025010143

深层高阶煤层CO₂-ECBM技术研究与应用启示——以沁水盆地晋中地区为例

doi: 10.11781/sysydz2025010143

郑永旺^{1, 2,},
崔轶男^{1, 2, ,},
李鑫^{1, 2},
肖翠^{1, 2},
郭涛^{1, 2},
张登峰³

1.
中国石化华东油气分公司勘探开发研究院，南京 210000
2.
中国石化深层煤层气勘探开发重点实验室，南京 210000
3.
昆明理工大学化学工程学院，昆明 650500

基金项目:

中国石化科技部项目“华东探区深部煤层气富集规律与有效开发技术” P23205

详细信息

作者简介:
郑永旺(1984—)，男，高级工程师，从事非常规油气勘探开发方面的研究与管理工作。E-mail: zhengyw.hdsj@sinopec.com

通讯作者:
崔轶男(1995—)，女，助理研究员，从事煤层气高效开发工作。E-mail: cuiyn1109.hdsj@sinopec.com

中图分类号: TE341
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- 被引次数: 0
出版历程
- 收稿日期: 2024-10-16
- 修回日期: 2024-12-13
- 刊出日期: 2025-01-28

Research and insights for application of CO₂-ECBM technology in deep high-rank coal seams: a case study of Jinzhong block, Qinshui Basin

ZHENG Yongwang^{1, 2
,},
CUI Yinan^{1, 2
, ,},
LI Xin^{1, 2},
XIAO Cui^{1, 2},
GUO Tao^{1, 2},
ZHANG Dengfeng³

1.
Exploration and Development Research Institute, SINOPEC East China Oil and Gas Company, Nanjing, Jiangsu 210000, China
2.
SINOPEC Key Laboratory of Deep Coalbed Methane Exploration and Development, Nanjing, Jiangsu 210000, China
3.
Faculty of Chemical Engineering, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

摘要

摘要: 深层高阶煤层资源潜力大，但具有“强吸附、难解吸”的特点，常规开发方式难以实现效益动用。与化学驱、热力驱等其他提高采收率技术相比，CO₂-ECBM(CO₂地质封存及强化煤层开采)技术具有节能减排和提高煤层气采收率双重效益。为明确CO₂吸附、解吸特性，论证CO₂-ECBM技术提高深层高阶煤层气采收率可行性，助力深层高阶煤层气产能释放，以沁水盆地晋中地区为研究对象，开展深层高阶煤层CO₂吸附、解吸特征研究实验。研究结果表明，随着平衡压力的增加，煤层对CH₄的吸附量逐渐增加，而受煤层孔裂隙发育特征及CO₂特征影响，煤层对CO₂的吸附量呈先持续上升再在临界压力附近骤降后大幅上升的特征。深层高阶煤层对CO₂的吸附能力约为CH₄的2~5倍，超临界CO₂在煤层中的吸附能力更强，CO₂的敏感解吸压力为CH₄的3/4，且吸附于煤层后，CO₂呈现出明显的吸附、解吸滞后特征，大比例CO₂以吸附封存和残余封存形式滞留在煤层中无法脱附，成为实现大规模封存CO₂和替换CH₄的有利条件。通过实验结果分析，明确了深层高阶煤层气开展CO₂-ECBM具备大幅提高采收率的可行性。矿场应用中，可通过超前注气、加大注入压力等方式提高气藏压力水平，提升竞争吸附效率，同时低敏感解吸压力也表明注入CO₂后返排率较高，需考虑CO₂循环利用。
- 深层煤层气 /
- 高阶煤 /
- CO₂-ECBM /
- 竞争吸附 /
- 矿场应用启示
Abstract: Deep high-rank coal seams have significant resource potential, but exhibit characteristics of "strong adsorption and weak desorption", making it challenging to effectively utilize with conventional development methods. Compared with other enhanced recovery technologies such as chemical flooding and thermal flooding, CO₂-ECBM (CO₂ geological sequestration-Enhanced Coal Bed Methane Recovery) technology offers dual benefits of energy conservation and emission reduction, and increased recovery rates of coalbed methane. In order to clarify the characteristics of CO₂ adsorption and desorption, demonstrate the feasibility of CO₂-ECBM technology in enhancing the recovery of deep high-rank coalbed methane, and help release the productivity of deep high-rank coalbed methane, this study focused on the Jinzhong block, Qinshui Basin, and conducted experimental research on the CO₂ adsorption and desorption characteristics of deep high-rank coal seams. The research results showed that the adsorption capacity of CH₄ in coal seams increased gradually with rising equilibrium pressures. In contrast, the adsorption capacity of CO₂ in coal seams initially increased, then sharply dropped near the critical pressure, followed by a significant rise, which was influenced by the pore and fracture development characteristics of the coal seams and the properties of CO₂. The adsorption capacity of CO₂ in deep high-rank coal seams was about 2 to 5 times that of CH₄, and the adsorption capacity of supercritical CO₂ in coal seams was stronger. The sensitive desorption pressure of CO₂ was 3/4 of that of CH₄. Once adsorbed in coal seams, CO₂ showed an obvious adsorption/desorption lag, with a large proportion of CO₂ remaining in coal seams in the form of adsorbed storage and residual storage, which provided favorable conditions for large-scale CO₂ storage and CH₄ replacement. Through the analysis of experimental results, it was clear that developing CO₂-ECBM in deep high-rank coal seams was feasible and could significantly enhance coalbed methane recovery. In field application, the pressure level of gas reservoir could be increased through methods such as advanced gas injection and increasing injection pressure, thereby enhancing competitive adsorption efficiency. Additionally, the low sensitive desorption pressure indicated a high backflow rate after CO₂ injection, suggesting that CO₂ recycling should be considered.
- deep coalbed methane /
- high-rank coal /
- CO₂-ECBM /
- competitive adsorption /
- insights for field application
注释:

利益冲突声明/Conflict of Interests

所有作者声明不存在利益冲突。

All authors declare no relevant conflict of interests.

作者贡献/Authors’Contributions

郑永旺负责论文选题、构思及统稿；郑永旺、崔轶男、李鑫、张登峰负责实验设计及实验操作；肖翠、郭涛负责储层特征研究；所有作者参与论文写作和修改。所有作者均阅读并同意最终稿件的提交。

ZHENG Yongwang was responsible for the topic selection, conception, and drafting of the paper. ZHENG Yongwang, CUI Yinan, LI Xin, and ZHANG Dengfeng were responsible for experimental design and operation. XIAO Cui and GUO Tao were responsible for the study of reservoir characteristics. All authors participated in the writing and revision of the paper. All authors have read the final version of the paper and consented to its submission.

HTML全文

图 1 沁水盆地晋中地区煤层孔隙孔径、孔体积曲线

Figure 1. Pore diameter and pore volume curves of coal seams in Jinzhong block, Qinshui Basin

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图 2 不同地区煤层裂缝发育情况

Figure 2. Development of coal seam fractures in different blocks

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图 3 沁水盆地晋中地区和鄂尔多斯盆地延川南地区裂隙开度分级分布

Figure 3. Graded distribution of fracture opening in Jinzhong block, Qinshui Basin and Yanchuan south block, Ordos Basin

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图 4 不同演化程度煤储层吸附等温线

Figure 4. Adsorption isotherms of coal reservoirs with different evolution degrees

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图 5 各地区敏感解吸压力对比

Figure 5. Comparison of sensitive desorption pressures in each block

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图 6 煤岩高压储层流体吸附、解吸性能测定装置及流程

Figure 6. Device and process for measuring fluid adsorption and desorption performance of high-pressure coal reservoir

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图 7 沁水盆地晋中地区煤样CH₄吉布斯吸附量曲线

Figure 7. Curves of CH₄ Gibbs adsorption capacity of coal samples from Jinzhong block, Qinshui Basin

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图 8 沁水盆地晋中地区煤样CO₂吉布斯吸附量曲线

Figure 8. Curves of CO₂ Gibbs adsorption capacity of coal samples from Jinzhong block, Qinshui Basin

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图 9 沁水盆地晋中地区煤样CH₄吸附等温线以及Langmuir模型拟合结果

Figure 9. CH₄ adsorption isotherm of coal samples from Jinzhong block, Qinshui Basin, and Langmuir model fitting results

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图 10 沁水盆地晋中地区煤样CO₂吸附等温线以及Langmuir模型拟合结果

Figure 10. CO₂ adsorption isotherm of coal samples from Jinzhong block, Qinshui Basin, and Langmuir model fitting results

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图 11 沁水盆地晋中地区煤样气体吸附量对比

Figure 11. Comparison of gas adsorption capacities of coal samples from Jinzhong block, Qinshui Basin

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图 12 318.15 K温度下CO₂密度随压力变化特征

数据来源于文献[31]。

Figure 12. Variation of CO₂ density with pressure at 318.15 K

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图 13 沁水盆地晋中地区煤样CH₄吸附和解吸曲线

Figure 13. CH₄ adsorption and desorption isotherms of coal samples from Jinzhong block, Qinshui Basin

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图 14 沁水盆地晋中地区煤样CO₂吸附和解吸曲线

Figure 14. CO₂ adsorption and desorption isotherms of coal samples from Jinzhong block, Qinshui Basin

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表 1 沁水盆地晋中地区煤样CH₄、CO₂吸附和解吸实验样品基本信息

Table 1. Basic information of CH₄ and CO₂ adsorption and desorption experimental coal samples from in Jinzhong block, Qinshui Basin

煤样编号	井段/m	块体密度/(g/cm³)	R_o/%	显微组分/%			工业组分/%
煤样编号	井段/m	块体密度/(g/cm³)	R_o/%	镜质组	惰质组	矿物	水分	灰分	挥发分	固定碳
J1-28-1	1 883.50~1 883.75	1.4	3.0	75.4	19.8	4.8	3.2	29.4	6.5	60.9
J1-29-1	1 883.90~1 884.17	1.5	2.9	68.2	24.4	7.4	3.4	16.9	5.2	74.5
J1-29-2	1 884.50~1 884.77	1.5	2.9	72.0	19.8	8.2	2.7	20.8	6.8	69.6
J1-33-1	1 889.23~1 889.50	1.5	2.9	88.2	6.8	5.0	1.8	20.5	7.4	70.2
J1-34-1	1 890.44~1 890.70	1.5	2.9	71.6	26.8	1.6	2.7	18.0	8.3	71.0
J1-34-2	1 889.87~1 890.14	1.4	2.9	73.4	25.0	1.6	1.9	7.5	7.1	83.5
J1-35-1	1 891.64~1 891.90	1.4	3.0	79.2	11.6	9.2	3.1	20.1	6.3	70.5
J1-35-2	1 891.38~1 891.64	1.4	2.9	82.8	14.0	3.2	2.3	16.6	6.7	74.5

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表 2 沁水盆地晋中地区煤样CH₄吸附等温线Langmuir模型拟合结果

Table 2. Langmuir model fitting results for CH₄ adsorption isotherm of coal samples from Jinzhong block, Qinshui Basin

煤样编号	质量/g	V_L/ (cm³/g)	P_L/ MPa	相关系数	平均相对误差/%
J1-28-1	20.132 1	48.31	2.39	0.996 5	4.27
J1-34-2	20.031 4	41.49	1.87	0.999 0	2.56

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表 3 沁水盆地晋中地区煤样CO₂吸附等温线Langmuir模型拟合结果

Table 3. Langmuir model fitting results for CO₂ adsorption isotherm of coal samples from Jinzhong block, Qinshui Basin

煤样编号	质量/g	V_L/ (cm³/g)	P_L/ MPa	相关系数	平均相对误差/%
J1-28-1	20.040 0	69.44	1.47	0.978 1	5.82
J1-34-2	20.499 0	66.23	1.01	0.990 8	5.01

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