枯竭气藏CO2埋存潜力计算方法研究

唐良睿; 贾英; 严谨; 李广辉; 汪勇; 何佑伟; 秦佳正; 汤勇

doi:10.13809/j.cnki.cn32-1825/te.2021.06.009

油气藏评价与开发 >

2021 , Vol. 11 >Issue 6: 858 - 863

DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2021.06.009

方法理论

枯竭气藏CO₂埋存潜力计算方法研究

唐良睿 ,
贾英 ,
严谨 ,
李广辉 ,
汪勇 ,
何佑伟 ,
秦佳正 ,
汤勇

展开

1.西南石油大学石油与天然气工程学院,四川成都 610500
2.中国石化石油勘探开发研究院,北京 100089
3.中国石油长庆油田第七采油厂,陕西西安710000

唐良睿（1997—）,男,硕士,油气田开发工程。地址：四川省成都市新都区新都大道8号（西南石油大学）,邮政编码：610500。E-mail： ling961223@qq.com

收稿日期: 2021-07-27

网络出版日期: 2021-12-31

基金资助

国家自然科学基金“超低渗透油藏CO₂强化采油过程中多孔介质相态及微观渗流机理研究”(51974268);四川省科技计划项目“特低渗透油藏CO₂驱微观渗流理论及影响机制研究”(2019YJ0423)

收起

Study on calculation method of CO₂ storage potential in depleted gas reservoir

Liangrui TANG ,
Ying JIA ,
Jin YAN ,
Guanghui LI ,
Yong WANG ,
Youwei HE ,
Jiazheng QING ,
Yong TANG

Expand

1. Petroleum Engineering School, Southwest Petroleum University, Chengdu, Sichuan 610500, China
2. Sinopec Petroleum Exploration and Production Research Institute, Beijing 100089, China
3. No. 7 Oil Recovery Plant, CNPC Changqing Oilfield Company, Xi’an, Shaanxi 710000, China

Received date: 2021-07-27

Online published: 2021-12-31

Fold

摘要

温室气体CO₂地质封存是应对碳达峰和碳中和的重要手段,而枯竭气藏是埋存CO₂优势显著的靶点。基于CO₂在气藏中的不同存在形式,考虑溶解埋存和矿化埋存等机理,在气藏CO₂理论埋存量计算方法的基础上,建立气藏CO₂有效埋存量计算方法,可用于估算枯竭气藏CO₂埋存潜力。建立低渗气藏机理模型,在开发后期进行CO₂埋存,考虑CO₂溶解于地层水及CO₂与水和岩石发生矿化反应,对比计算结果与数模结果,超临界埋存量、溶解埋存量和矿化埋存量的误差分别为2.81 %、7.37 %和6.25 %,有效埋存量误差仅为3.06 %。

关键词： CO₂驱; 埋存潜力; 枯竭气藏; 数值模拟; 埋存机理

本文引用格式

唐良睿 , 贾英 , 严谨 , 李广辉 , 汪勇 , 何佑伟 , 秦佳正 , 汤勇 . 枯竭气藏CO₂埋存潜力计算方法研究[J]. 油气藏评价与开发, 2021 , 11(6) : 858 -863 . DOI: 10.13809/j.cnki.cn32-1825/te.2021.06.009

Abstract

The geological sequestration of greenhouse gas, CO₂, is an important means to cope with carbon peaking and carbon neutralization. However, the depleted gas reservoirs are the significant targets for the storage of CO₂. Due to the different forms of CO₂ in gas reservoirs, the effective CO₂ storage calculation method of gas reservoirs is established based on the theoretical CO₂ storage calculation method, which can be used to estimate the CO₂ storage potential of the depleted gas reservoirs. Meanwhile, the model of low permeability gas reservoir is established for the CO₂ storage in the later stage of the development. Considering the dissolution of CO₂ in formation water and the mineralization reaction of CO₂ between water and rock, the error of supercritical buried stock, dissolved buried stock and mineralized buried stock is 2.81 %, 7.37 % and 6.25 %, respectively, and the error of effective buried stock is only 3.06 % by comparing the calculated results with the numerical and analog results.

Key words： CO₂ flooding; CO₂storage potential; depleted gas reservoir; numerical simulation; storage mechanism

参考文献

[1]	刘焰. 未来百年全球气候变化分析[J]. 中国地质调查, 2021, 8(3):1-11.
[1]	LIU Yan. Analysis of global climate change in the next century[J]. China Geological Survey, 2021, 8(3):1-11.
[2]	刘满平. 我国实现“碳中和”目标的挑战与政策建议[J]. 当代石油石化, 2021, 29(4):1-9.
[2]	LIU Manping. Challenges and policy suggestions to achieve the goal of "carbon neutrality" in China[J]. Petroleum & Petrochemical Today, 2021, 29(4):1-9.
[3]	李孥, 王建良, 刘睿, 等. 碳中和目标下天然气产业发展的多情景构想[J]. 天然气工业, 2021, 41(2):183-192.
[3]	LI Nu, WANG Jianliang, LIU Rui, et al. Multi scenario conception of natural gas industry development under the goal of carbon neutralization[J]. Natural Gas Industry, 2021, 41(2):183-192.
[4]	樊大磊, 李富兵, 王宗礼. 碳达峰、碳中和目标下中国能源矿产发展现状及前景展望[J]. 中国矿业, 2021, 30(6):1-8.
[4]	FAN Dalei, LI Fubing, WANG Zongli. Development status and Prospect of China's energy minerals under the goals of carbon peak and carbon neutralization[J]. China Mining Magazine, 2021, 30(6):1-8.
[5]	康煜, 谢薇, 陈建荣, 等. 2020年世界主要国家油气及相关能源政策[J]. 国际石油经济, 2021, 29(2):68-72.
[5]	KANG Yu, XIE Wei, CHENG Jianrong, et al. Oil, gas and related energy policies of major countries in the world in 2020[J]. International Petroleum Economy, 2021, 29(2):68-72.
[6]	杜建芬, 赵勇, 郭平, 等. 鄂北致密气藏注CO₂驱替提高采收率实验研究[J]. 科学技术与工程, 2020, 20(16):6459-6465.
[6]	DU Jianfeng, ZHAO Yong, GUO Ping, et al. Experimental study on enhanced oil recovery by CO₂ injection displacement in tight gas reservoir in Northern Hubei[J]. Science, technology and Engineering, 2020, 20(16):6459-6465.
[7]	宁雅洁. 盐水层CO₂埋存量影响因素数值模拟研究[D]. 北京:中国地质大学(北京), 2020.
[7]	NING Yajie. Numerical simulation study on Influencing Factors of CO₂ buried stock in saline layer[D]. Beijing: China University of Geosciences (Beijing), 2020.
[8]	郭平, 李雪弘, 孙振, 等. 低渗气藏CO₂驱与埋存的数值模拟[J]. 科学技术与工程, 2019, 19(23):68-76.
[8]	GUO Ping, LI Xuehong, SUN Zheng, et al. Numerical simulation of CO₂ flooding and burial in low permeability gas reservoir[J]. Science, technology and Engineering, 2019, 19(23):68-76.
[9]	胡永乐, 郝明强, 陈国利, 等. 中国CO₂驱油与埋存技术及实践[J]. 石油勘探与开发, 2019, 46(4):716-727.
[9]	HU Yongle, HAO Mingqiang, CHEN Guoli, et al. CO₂ oil displacement and storage technology and practice in China[J]. Petroleum Exploration and Development, 2019, 46(4):716-727.
[10]	李保振, 康晓东, 张健, 等. 海上CO₂驱研究进展及潜力评价[J]. 科技导报, 2018, 36(6):83-89.
[10]	LI Baozheng, KANG Xiaodong, ZHANG Jian, et al. Research progress and potential evaluation of offshore CO₂ flooding[J]. Science and Technology Guide, 2018, 36(6):83-89.
[11]	刘斌, 潘颖. CO₂在深部咸水层中的埋存机理及影响因素分析现状综述[J]. 环境工程, 2017, 35(S1):104-108.
[11]	LIU Bing, PAN Ying. Review on the buried mechanism and influencing factors of CO₂ in deep salt water layer[J]. Environmental Engineering, 2017, 35(S1):104-108.
[12]	潘颖. 深部咸水层CO₂溶解埋存量估算及影响因素分析[D]. 大庆:东北石油大学, 2017.
[12]	PAN Ying. Estimation of CO₂ dissolved buried stock in deep salt water layer and analysis of influencing factors[D]. Daqing: Northeast Petroleum University, 2017.
[13]	郭平, 许清华, 孙振, 等. 天然气藏CO₂驱及地质埋存技术研究进展[J]. 岩性油气藏, 2016, 28(3):6-11.
[13]	GUO Ping, XU Qinghua, SUN Zheng, et al. Research progress of CO₂ flooding and geological storage technology in natural gas reservoir[J]. Lithologic Reservoir, 2016, 28(3):6-11.
[14]	汤勇, 杜志敏, 孙雷, 等. CO₂在地层水中溶解对驱油过程的影响[J]. 石油学报, 2011, 32(2):311-314.
[14]	TANG Yong, DU Zhiming, SUN Lei, et al. Influence of CO₂ dissolution in formation water on oil displacement process[J]. Acta Petrolei Sinica, 2011, 32(2):311-314.
[15]	汤勇, 尹鹏, 汪勇, 等. CO₂混相驱的可行性评价[J]. 西南石油大学学报(自然科学版), 2014, 36(2):133-138.
[15]	TANG Yong, YIN Peng, WANG Yong, et al. Feasibility evaluation of CO₂ miscible flooding[J]. Journal of Southwest Petroleum University(Natural Science Edition), 2014, 36(2):133-138.
[16]	董晓琪. 浅层气藏开发中后期注CO₂提高采收率及埋存研究[D]. 成都:西南石油大学, 2017.
[16]	DONG Xiaoqi. Study on CO₂ injection to enhance oil recovery and burial in the middle and late stage of shallow gas reservoir development[D]. Chengdu: Southwest Petroleum University, 2017.
[17]	张超. 注CO₂提高气藏采收率及埋存研究[D]. 成都:西南石油大学, 2016.
[17]	ZHANG Chao. Study on CO₂ injection to improve gas reservoir recovery and buried storage[D]. Chengdu: Southwest Petroleum University, 2016.
[18]	史云清, 贾英, 潘伟义, 等. 致密低渗透气藏注CO₂提高采收率潜力评价[J]. 天然气工业, 2017, 37(3):62-69.
[18]	SHI Yunqing, JIA Ying, PAN Weiyi, et al. Evaluation of CO₂ injection enhanced oil recovery potential in tight, low permeability and permeable reservoirs[J]. Natural Gas Industry, 2017, 37(3):62-69.
[19]	李保振, 李相方, 张健, 等. 海上油田CO₂驱潜力高效评估方法研究[J]. 科学技术与工程, 2016, 16(19):202-207.
[19]	LI Baozheng, LI Xiangfang, ZHANG Jian, et al. Study on efficient evaluation method of CO₂ flooding potential in offshore oilfield[J]. Science, Technology and Engineering, 2016, 16(19):202-207.
[20]	姚振杰, 黄春霞, 段景杰, 等. 延长油田CO₂驱埋存潜力评价方法[J]. 辽宁石油化工大学学报, 2016, 36(3):43-45.
[20]	YAO Zhengjie, HUANG Chunxia, DUAN Jingjie, et al. Evaluation method of CO₂ flooding buried potential in Yanchang Oilfield[J]. Journal of Liaoning University of Petrochemical Technology, 2016, 36(3):43-45.

Options

文章导航

模态框（Modal）标题

摘要

本文引用格式

Abstract

参考文献