垦东油藏压缩空气储能循环注采瞬态特性研究

doi:10.3976/j.issn.1002-4026.2025073

山东科学 ›› 2026, Vol. 39 ›› Issue (4): 57-69.doi: 10.3976/j.issn.1002-4026.2025073

垦东油藏压缩空气储能循环注采瞬态特性研究

韩庆云¹(), 陈伟¹^,^*(), 郑志美², 谢宁宁², 李双江³, 韩子博³, 张学林⁴

¹ 青岛科技大学机电工程学院, 山东青岛 266061
² 中国长江三峡集团有限公司科学技术研究院, 北京 101199
³ 中国电建集团河北省电力勘测设计研究院有限公司, 河北石家庄 050031
⁴ 清华大学电机工程与应用电子技术系, 北京 100084

收稿日期:2025-07-09 修回日期:2025-08-08 出版日期:2026-08-20 上线日期:2026-02-05
通信作者: ^*陈伟(1986—),副教授,研究方向为新能源利用技术与传热传质物性测试研究。E-mail: cw_19344616@aliyun.com
作者简介:韩庆云(1998—),硕士研究生,研究方向为压缩空气储能。E-mail: hqy.qingyun@qq.com
基金资助:
三峡科研院项目(202103404);中电建河北院项目(WKCK25470)

Transient characteristics of cyclic injection production for compressed air energy storage in the Kendong oil reservoir

HAN Qingyun¹(), CHEN Wei¹^,^*(), ZHENG Zhimei², XIE Ningning², LI Shuangjiang³, HAN Zibo³, ZHANG Xuelin⁴

¹ College of Electromechanical Engineering, Qingdao University of Science & Technology, Qingdao 266061, China
² China Three Gorges Corporation Science and Technology Research Institute, Beijing 101199, China
³ POWERCHINA HeBei Electric Power Engineering Co., Ltd. Shijiazhuang 050031, China
⁴ Department of Electrical Engineering and Applied Electronics, Tsinghua University, Beijing 100084, China

Received:2025-07-09 Revised:2025-08-08 Published:2026-08-20 Online:2026-02-05

摘要/Abstract

摘要：

基于垦东油藏真实地质结构,建立了含水层和盖层几何模型,利用COMSOL仿真平台的多孔介质两相流、达西定律及固体传热接口,构建了大尺度油藏含水层压缩空气储能系统(CAESA)地下部分的物理模型,从而实现了从建库到循环注采全阶段动态仿真。在基准工况下,模拟了全阶段储层内气相饱和度、温度场和压力场的演化过程,并对注采稳定阶段进行敏感性分析,探讨了渗透率、注采速率、水平井长度及位置对井筒平均温度与压力的影响规律。结果表明:高渗透率、低注采速率和较长的水平井长度,会降低循环注采时井筒与储层间的温度差和压力差,水平井位置的影响取决于其与盖层的平均距离,距离增大会导致温度差增大而压力差减小。对比发现,渗透率和注采速率对压力的影响更为显著,渗透率从600 mD增至1 400 mD,注气速率从12 kg/s增至20 kg/s时,峰谷压力差分别减少约28.9%和24.1%,显著超过同等变化幅度下水平井长度和位置的影响。本研究可为油藏CAESA系统设计及能效评估提供理论指导。

关键词: 含水层压缩空气储能, 油藏, 敏感性分析, 注采过程, 多孔介质

Abstract:

According to the actual geological structure of the Kendong oil reservoir, a geometric model of the reservoir aquifer and caprock was established. Using the COMSOL simulation platform, a large-scale subsurface physical model of the compressed air energy storage in aquifers (CAESA) system in oil reservoirs was constructed by integrating interfaces such as porous media two-phase flow, Darcy’s law, and solid heat transfer to enable dynamic simulation of the full cycle from gas injection for reservoir construction to cyclic injection production. Under baseline conditions, the temporal variations of gas saturation, temperature field, and pressure field within the reservoir during the full cycle were simulated. A sensitivity analysis was conducted for the steady injection-production stage to investigate the impacts of permeability, injection-production rate, horizontal well length, and well location on the average wellbore temperature and pressure. The results reveal that increased permeability, reduced injection-production rates, and extended horizontal wells decrease the thermal and pressure differences between the wellbore and reservoir during cyclic injection production. The impact of horizontal well location depends on its average distance from the caprock: a greater distance results in a larger temperature difference but a smaller pressure difference during injection production. Comparative analysis reveals that permeability and the injection-production rate have more substantial impacts on wellbore pressure. In particular, when permeability increased from 600 to 1 400 mD and the injection rate from 12 to 20 kg/s, the pressure amplitude decreased by approximately 28.9% and 24.1%, respectively, substantially exceeding those of equivalent variations in horizontal well length and location. This study provides theoretical guidance for the design and energy efficiency evaluation of the CAESA systems in oil reservoirs, specifically regarding well configuration and operational parameter optimization.

Key words: compressed air energy storage in aquifers, reservoirs, sensitivity analysis, injection-production process, porous media

中图分类号:

TK02

韩庆云, 陈伟, 郑志美, 谢宁宁, 李双江, 韩子博, 张学林. 垦东油藏压缩空气储能循环注采瞬态特性研究[J]. 山东科学, 2026, 39(4): 57-69.

HAN Qingyun, CHEN Wei, ZHENG Zhimei, XIE Ningning, LI Shuangjiang, HAN Zibo, ZHANG Xuelin. Transient characteristics of cyclic injection production for compressed air energy storage in the Kendong oil reservoir[J]. Shandong Science, 2026, 39(4): 57-69.

图/表 17

图1

图2

图3

表1

图4

图5

图6

图7

图8

图9

图10

图11

图12

图13

图14

图15

图16

参考文献 19

[1]	周孝信, 陈树勇, 鲁宗相, 等. 能源转型中我国新一代电力系统的技术特征[J]. 中国电机工程学报, 2018, 38(7): 1893-1904. DOI:10.13334/j.0258-8013.pcsee.180067.
[2]	袁小明, 程时杰, 文劲宇. 储能技术在解决大规模风电并网问题中的应用前景分析[J]. 电力系统自动化, 2013, 37(1): 14-18. DOI:10.7500/AEPS201210050.
[3]	Jewell W T. Electric industry infrastructure for sustainability: Climate change and energy storage[C]//IEEE Power Engineering Society General Meeting, Tampa, USA, 2008:1-3.DOI: 10.1109/PES.2008.4596181.
[4]	张文亮, 丘明, 来小康. 储能技术在电力系统中的应用[J]. 电网技术, 2008, 32(7): 1-9.
[5]	吴皓文, 王军, 龚迎莉, 等. 储能技术发展现状及应用前景分析[J]. 电力学报, 2021, 36(5): 434-443. DOI:10.13357/j.dlxb.2021.052.
[6]	Akinyele D O, Rayudu R K. Review of energy storage technologies for sustainable power networks[J]. Sustainable Energy Technologies and Assessments, 2014, 8: 74-91. DOI:10.1016/j.seta.2014.07.004.
[7]	张玮灵, 古含, 章超, 等. 压缩空气储能技术经济特点及发展趋势[J]. 储能科学与技术, 2023, 12(4): 1295-1301. DOI:10.19799/j.cnki.2095-4239.2022.0645.
[8]	Barbour E, Pottie D L. Adiabatic compressed air energy storage technology[J]. Joule, 2021, 5(8): 1914-1920. DOI:10.1016/j.joule.2021.07.009.
[9]	Peng Hao, Yang Yu, Li Rui, et al. Thermodynamic analysis of an improved adiabatic compressed air energy storage system[J]. Applied Energy, 2016, 183(C): 1361-1373.
[10]	纪律, 陈海生, 张新敬, 等. 压缩空气储能技术研发现状及应用前景[J]. 高科技与产业化, 2018, 24(4): 52-58. DOI:10.26927/j.cnki.hitech.2018.04.008.
[11]	Jafari Raad S M, Leonenko Y, Hassanzadeh H. Hydrogen storage in saline aquifers: Opportunities and challenges[J]. Renewable and Sustainable Energy Reviews, 2022, 168: 112846. DOI:10.1016/j.rser.2022.112846.
[12]	胡贤贤, 张可霓, 郭朝斌. 压缩空气地下咸水含水层储能技术[J]. 新能源进展, 2014, 2(5): 390-396. DOI:10.3969/j.issn.2095-560X.2014.05.011.
[13]	Bennett J A, Fitts J P, Clarens A F. Compressed air energy storage capacity of offshore saline aquifers using isothermal cycling[J]. Applied Energy, 2022, 325: 119830. DOI:10.1016/j.apenergy.2022.119830.
[14]	Li Yi, Sun Ruikang, Li Yi, et al. An enhanced role understanding of geothermal energy on compressed air energy storage in aquifers considering the underground processes[J]. Journal of Energy Storage, 2021, 44: 103483. DOI:10.1016/j.est.2021.103483.
[15]	Oldenburg C M PanLehua. Porous media compressed-air energy storage (PM-CAES): Theory and simulation of the coupled wellbore-reservoir system[J]. Transport in Porous Media, 2013, 97(2): 201-221. DOI:10.1007/s11242-012-0118-6.
[16]	Mouli-Castillo J, Wilkinson M, Mignard D, et al. Inter-seasonal compressed-air energy storage using saline aquifers[J]. Nature Energy, 2019, 4(2): 131-139. DOI:10.1038/s41560-018-0311-0.
[17]	Zhang Jingtao, Zhang Haipeng, Lee D, et al. Microfluidic study on the two-phase fluid flow in porous media during repetitive drainage-imbibition cycles and implications to the CAES operation[J]. Transport in Porous Media, 2020, 131(2): 449-472. DOI:10.1007/s11242-019-01353-4.
[18]	Kim S, Zhang Jingtao, Ryu S. Experimental study: The effect of pore shape, geometrical heterogeneity, and flow rate on the repetitive two-phase fluid transport in microfluidic porous media[J]. Micromachines, 2023, 14(7): 1441. DOI:10.3390/mi14071441.
[19]	何庆成, 李采, 郭朝斌, 等. 碳封存与压缩气体地质储能现状、挑战与展望[J]. 水文地质工程地质, 2024, 51(4): 1-9. DOI:10.16030/j.cnki.issn.1000-3665.202406013.

符号	含义	数值
ε_p	含水层孔隙率	0.3
κ	含水层渗透率	1 000 mD
ρ_w	水密度	COMSOL数据库
μ_w	水动力黏度	COMSOL数据库
c_pw	水比热容	COMSOL数据库
k_w	水导热系数	COMSOL数据库
ρ_a	空气密度	COMSOL数据库
μ_a	空气动力黏度	COMSOL数据库
c_pa	空气比热容	COMSOL数据库
k_a	空气导热系数	COMSOL数据库
p_c	毛细压力	10 000 Pa
ρ_s	土壤密度	2 600 kg/m³
c_ps	土壤比热容	1 000 J/(kg·K)
k_s	土壤导热系数	1 W/(m·K)
ρ_b	多孔基体密度	2 600 kg/m³
c_pb	多孔基体比热容	920 J/(kg·K)
k_b	多孔基体导热系数	2.51 W/(m·K)
Q_in,a	注气速率	16 kg/s
Q_out,a	采气速率	32 kg/s
l_w	水平井长度	200 m
T_inj	注入空气温度	313.15 K
T₀	油藏初始温度	343.15 K

垦东油藏压缩空气储能循环注采瞬态特性研究

Transient characteristics of cyclic injection production for compressed air energy storage in the Kendong oil reservoir

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 17

参考文献 19

相关文章 2

Metrics

本文评价

推荐阅读 0

[1]	高国强, 陈国富. 多元流体油藏传热计算新模型[J]. 山东科学, 2021, 34(5): 49-57.
[2]	邹靖，占车生，胡桐，孙佳，王中秋 . 海浪过程对短期天气模拟的影响分析[J]. 山东科学, 2018, 31(5): 1-6.