基于核磁共振与微观数值模拟的CO2埋存形态及分布特征研究

doi:10.13809/j.cnki.cn32-1825/te.2023.03.004

摘要/Abstract

摘要：

CO₂排放加剧，环境问题日益严峻，碳减排刻不容缓。CO₂-EOR是地质封存CO₂的主要手段，但国内外针对CO₂-EOR方面的研究大多是对剩余油进行研究，驱油时针对CO₂埋存形式的相关研究较少。研究利用核磁共振技术结合数值模拟手段，分析不同岩心饱和油进行气驱后CO₂埋存形态及分布特征，结果表明：核磁共振技术结合微观气驱油数值模拟方法可以分析CO₂的微观埋存形态，岩心中CO₂驱替原油时，首先进入大孔道驱油，大孔隙中的压力达到一定程度后，原油向周围毛细管力分布不均的小孔喉流动，气体不断驱动原油，直到小孔压力累计至一定值小孔隙内原油才被驱走。数值模拟采用COMSOL Multiphysics软件进行，微观模拟结果显示大孔道中CO₂主要以连片的自由气形态存在，而细小孔隙中CO₂首先以溶解形式留存，大小孔隙中均没有完全以自由气或溶解气埋存的CO₂。

关键词: CO₂驱油, 非混相, CO₂微观埋存, 核磁共振, 数值模拟

Abstract:

Under the situation of intensifying CO₂ emissions and increasingly serious environmental problems, carbon emission reduction is urgent. CO₂-EOR is the main means of geological storage of CO₂, but most of the researches on CO₂-EOR at home and abroad are to study the residual oil, and there are few studies on the form of CO₂ storage during oil flooding. In this paper, nuclear magnetic resonance is used to detect CO₂ displacement online combined with numerical simulation is used to study the CO₂ storage morphology and distribution characteristics of different core saturated oil after gas flooding. The results show that the NMR technology combined with the microscopic gas flooding oil numerical simulation method can effectively study the microscopic storage morphology of CO₂. When CO₂ in the core replaces crude oil, it first enters the large pore to drive oil, and after the pressure in the large pore reaches a certain level, the crude oil flows to the small hole throat with uneven distribution of capillary force around it, and the gas continues to drive the crude oil until the small pore pressure accumulates to a certain value in the small pore. Numerical simulations are performed using COMSOL Multiphysics software. Microscopic simulation results shows that CO₂ in large pores mainly exists in the form of continuous free gas, while CO₂ in small pores is first retained in dissolved form. There is no CO₂ completely stored in free gas or dissolved gas in both large and small pores.

Key words: CO₂ flooding, unmiscible, CO₂ micro-storage, NMR, numerical simulation

中图分类号:

TE312

陈秀林, 王秀宇, 许昌民, 张聪. 基于核磁共振与微观数值模拟的CO₂埋存形态及分布特征研究[J]. 油气藏评价与开发, 2023, 13(3): 296-304.

CHEN Xiulin, WANG Xiuyu, XU Changmin, ZHANG Cong. CO₂ sequestration morphology and distribution characteristics based on NMR technology and microscopic numerical simulation[J]. Petroleum Reservoir Evaluation and Development, 2023, 13(3): 296-304.

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参考文献 29

[1]	江怀友, 沈平平, 罗金玲, 等. 世界CO₂埋存技术现状与展望[J]. 中国能源, 2010, 32(6): 28-32.
	JIANG Huaiyou, SHEN Pingping, LUO Jinling, et al. Status and prospect of Carbon Dioxide storage technology around the world[J]. Energy of China, 2010, 32(6): 28-32.
[2]	宗柳. IEA发布《全球能源回顾: 2021碳排放》报告[J]. 世界石油工业, 2022, 29(3): 80.
	ZONG Liu. IEA releases a report of Global Energy Review: 2021 Carbon Emissions[J]. World Petroleum Industry, 2022, 29(3): 80.
[3]	LEACH A, MASON C F, VANT V K. Co-optimization of enhanced oil recovery and carbon sequestration[J]. Resource and Energy Economics, 2011, 33(4): 893-912. doi: 10.1016/j.reseneeco.2010.11.002
[4]	PERIDAS G. Spinning straw into black gold—enhanced oil recovery using carbon dioxide[C]// Paper presented at the Oversight Hearing Before the Subcommittee on Energy and Mineral Resources of the Committee on Natural Resources, U.S. House of Representatives, One Hundred Tenth Congress, Second Session, Washington, USA, June 2008.
[5]	张虹, 董国臣, 王松洋, 等. 浅析显微CT技术在油气储层研究中的应用[J]. 资源与产业, 2013, 15(6): 98-102.
	ZHANG Hong, DONG Guochen, WANG Songyang, et al. Application of microscopic CT in oil-gas reservoir study[J]. Resources & Industries, 2013, 15(6): 98-102.
[6]	吕伟峰, 冷振鹏, 张祖波, 等. 应用CT扫描技术研究低渗透岩心水驱油机理[J]. 油气地质与采收率, 2013, 20(2): 87-90.
	LV Weifeng, LENG Zhenpeng, ZHANG Zubo, et al. Study on waterflooding mechanism in low-permeability cores using CT scan technology[J]. Petroleum Geology and Recovery Efficiency, 2013, 20(2): 87-90.
[7]	梁斌, 王喜梅, 曾济楚, 等. CT扫描技术在岩心微观驱油特征分析中的应用[J]. 录井工程, 2019, 30(2): 34-37.
	LIANG Bin, WANG Ximei, ZENG Jichu, et al. Application of scanning technology in the analysis of core microscopic oil displacement characteristics[J]. Mud Logging Engineering, 2019, 30(2): 34-37.
[8]	侯健, 邱茂鑫, 陆努, 等. 采用CT技术研究岩心剩余油微观赋存状态[J]. 石油学报, 2014, 35(2): 319-325. doi: 10.7623/syxb201402012
	HOU Jian, QIU Maoxin, LU Nu, et al. Characterization of residual oil microdistribution at pore scale using computerized tomography[J]. Acta Petrolei Sinica, 2014, 35(2): 319-325. doi: 10.7623/syxb201402012
[9]	LI J J, JIANG H Q, WANG C, et al. Pore-scale investigation of microscopic remaining oil variation characteristics in water-wet sandstone using CT scanning[J]. Journal of Natural Gas Science and Engineering, 2017, 48: 36-45. doi: 10.1016/j.jngse.2017.04.003
[10]	于明旭, 朱伟耀, 宋洪庆. 低渗透储层可视化微观渗流模型研制[J]. 辽宁工程技术大学学报(自然科学版), 2013, 32(12): 1646-1650.
	YU Mingxu, ZHU Weiyao, SONG Hongqing. Development of microscopic visualization flow model of low-permeability reservoir[J]. Journal of Liaoning Technical University(Natural Science), 2013, 32(12): 1646-1650.
[11]	高辉, 孙卫, 路勇, 等. 特低渗透砂岩储层油水微观渗流通道与驱替特征实验研究: 以鄂尔多斯盆地延长组为例[J]. 油气地质与采收率, 2011, 18(1): 58-62.
	GAO Hui, SUN Wei, LU Yong, et al. Experimental study on micro-flow channel and displacement characteristic of ultra-low permeability sandstone reservoir-Taking Yanchang formation, Ordos Basin as example[J]. Petroleum Geology and Recovery Efficiency, 2011, 18(1): 58-62.
[12]	刘太勋, 徐怀民. 扇三角洲储层微观剩余油分布模拟试验[J]. 中国石油大学学报(自然科学版), 2011, 35(4): 20-26.
	LIU Taixun, XU Huaimin. Micro-remaining oil distribution simulation test of fan delta reservoir[J]. Journal of China University of Petroleum(Edition of Natural Science), 2011, 35(4): 20-26.
[13]	LI G, REN W X, MENG Y F, et al. Micro-flow kinetics research on water invasion in tight sandstone reservoirs[J]. Journal of Natural Gas Science & Engineering, 2014, 20(2): 184-191.
[14]	李登伟, 张烈辉, 周克明, 等. 可视化微观孔隙模型中气水两相渗流机理[J]. 中国石油大学学报(自然科学版), 2008, 32(3): 80-83.
	LI Dengwei, ZHANG Liehui, ZHOU Keming, et al. Gas-water two-phase flow mechanism in visual microscopic pore model[J]. Journal of Natural Gas Science & Engineering, 2008, 32(3): 80-83.
[15]	滕起, 杨正明, 刘学伟, 等. 特低渗透油藏平面渗流规律研究[J]. 科学技术与工程, 2012, 12(36): 9820-9823.
	TENG Qi, YANG Zhengming, LIU Xuewei, et al. 2D seepage flow rule of the ultra-low permeability reservoir[J]. Science Technology and Engineering, 2012, 12(36): 9820-9823.
[16]	吴聃, 鞠斌山, 陈常红, 等. 基于微观驱替实验的剩余油表征方法研究[J]. 中国科技论文, 2015, 10(23): 2707-2710.
	WU Dan, JU Binshan, CHEN Changhong, et al. Research on characterization method for residual oil based on microscopic displacement experiments[J]. China Sciencepaper, 2015, 10(23): 2707-2710.
[17]	LI R R, YANG Y S, PAN J X, et al. Lattice Boltzmann modeling of permeability in porous materials with partially percolating voxels[J]. Physical Review E, 2014, 90(3): 1-10.
[18]	HUO F, HONG Z. MRT-LBM-based numerical simulation of seepage flow through fractal fracture networks[J]. Science China-Technological Sciences, 2013, 56(12): 3115-3122. doi: 10.1007/s11431-013-5402-3
[19]	刘博伟, 牟松茹, 李彦来, 等. 基于格子玻尔兹曼方法的岩心切片渗流通道研究[J]. 石油化工高等学校学报, 2020, 33(6): 43-48.
	LIU Bowei, MOU Songru, LI Yanlai, et al. Study on seepage channel of core section based on Lattice Boltzmann method[J]. Journal of Petrochemical Universities, 2020, 33(6): 43-48.
[20]	高硕, 柏明星. 聚合物驱油微观渗流机理数值模拟研究[J]. 石油化工高等学校学报, 2018, 31(4): 42-45.
	GAO Shuo, BAI Mingxing. Numerical simulation of polymer flooding mechanism in micropores[J]. Journal of Petrochemical Universities, 2018, 31(4): 42-45.
[21]	黄兴, 倪军, 李响, 等. 致密油藏不同微观孔隙结构储层CO₂驱动用特征及影响因素[J]. 石油学报, 2020, 41(7): 853-864. doi: 10.7623/syxb202007007
	HUANG Xing, NI Jun, LI Xiang, et al. Characteristics and influencing factors of CO₂ flooding in different microscopic pore structures in tight reservoir[J]. Acta Petrolei Sinica, 2020, 41(7): 853-864. doi: 10.7623/syxb202007007
[22]	张晓辉, 张娟, 袁京素, 等. 鄂尔多斯盆地南梁-华池地区长81致密储层微观孔喉结构及其对渗流的影响[J]. 岩性油气藏, 2021, 33(2): 36-48.
	ZHANG Xiaohui, ZHANG Juan, YUAN Jingsu, et al. Micro pore throat structure and its influence on seepage of Chang 81 tight reservoir in Nanliang-Huachi area,Ordos Basin[J]. Lithologic Reservoirs, 2021, 33(2): 36-48.
[23]	唐凡, 朱永刚, 张彦明, 等. CO₂注入对储层多孔介质及赋存流体性质影响实验研究[J]. 石油与天然气化工, 2021, 50(1): 72-76.
	TANG Fan, ZHU Yonggang, ZHANG Yanming, et al. Experimental research of the effect of CO₂ injection on porous media and fluid property in reservoir[J]. Chemical Engineering of Oil & Gas, 2021, 50(1): 72-76.
[24]	郭永伟, 闫方平, 王晶, 等. 致密砂岩油藏CO₂驱固相沉积规律及其储层伤害特征[J]. 岩性油气藏, 2021, 33(3): 153-161.
	GUO Yongwei, YAN Fangping, WANG Jing, et al. Characteristics of solid deposition and reservoir damage of CO₂ flooding in tight sandstone reservoirs[J]. Lithologic Reservoirs, 2021, 33(3): 153-161.
[25]	杨胜来, 魏俊之. 油层物理学[M]. 北京: 石油工业出版社, 2007.
	YANG Shenglai, WEI Junzhi. Fundamentals of petrophysics[M]. Beijing: Petroleum Industry Pess, 2007.
[26]	ZHAO Y, ZHANG Y, LEI X, et al. CO₂ flooding enhanced oil recovery evaluated using magnetic resonance imaging technique[J]. Energy, 2020, 203: 117878. doi: 10.1016/j.energy.2020.117878
[27]	薛海涛, 卢双舫, 付晓泰. 甲烷、 CO₂和氮气在油相中溶解度的预测模型[J]. 石油与天然气地质, 2005(4): 444-449.
	XUE Haitao, LU Shuangfang, FU Xiaotai. Forecasting model of solubility of CH₄, CO₂, and N₂ in crude oil[J]. Oil & Gas Geology, 2005(4): 444-449.
[28]	BROOKS R H, COREY A T. Properties of porous media affecting fluid flow[J]. Journal of the Irrigation & Drainage Division, 1964, 92(2): 61-88.
[29]	LI K W. Analytical derivation of Brooks-Corey type capillary pressure models using fractal geometry and evaluation of rock heterogeneity[J]. Journal of Petroleum Science and Engineering, 2010, 73(1-2): 20-26. doi: 10.1016/j.petrol.2010.05.002

岩心编号	长度/ cm	直径/ cm	有效孔隙度/ %	渗透率/ 10^-3 μm²
1号岩心	7.021	2.525	13.33	2.350 1
2号岩心	7.040	2.460	13.21	0.146 8
3号岩心	7.146	2.500	9.47	0.071 8

岩心编号	注入量/PV	采出量/PV	埋存量/g	埋存率/%
1号岩心	3.84	3.23	0.001 047	61
2号岩心	4.41	3.72	0.001 031	69
3号岩心	5.13	4.36	0.000 988	77

基于核磁共振与微观数值模拟的CO₂埋存形态及分布特征研究

CO₂ sequestration morphology and distribution characteristics based on NMR technology and microscopic numerical simulation

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