油气藏评价与开发 ›› 2024, Vol. 14 ›› Issue (1): 91-101.doi: 10.13809/j.cnki.cn32-1825/te.2024.01.013

• 矿场应用 • 上一篇    下一篇

CO2驱油封存泄漏风险管理系统及应用研究

张志升1(),吴向阳1,吴倩2,王冀星2,林汉弛2,郭军红2,王锐3,李金花4,林千果5()   

  1. 1.延长油田股份有限公司杏子川采油厂,陕西 延安 717400
    2.华北电力大学环境科学与工程学院,北京 102206
    3.中国石化石油勘探开发研究院,北京 102206
    4.上海交通大学环境科学与工程学院,上海 201306
    5.上海交通大学碳中和发展研究院,上海 201306
  • 收稿日期:2023-05-22 出版日期:2024-02-26 发布日期:2024-03-05
  • 通讯作者: 林千果(1971—),男,博士,教授,从事碳捕集、利用与封存以及碳监测研究。地址:上海市徐汇区华山路1954号上海交通大学徐汇校区慧谷科技楼,邮政编码:201306。E-mail: qianguo.lin@sjtu.edu.cn
  • 作者简介:张志升(1974—),男,硕士,正高级工程师,从事油田勘探开发研究。地址:陕西省延安市安塞区杏子川采油厂,邮政编码:717400。E-mail: 464542108@qq.com
  • 基金资助:
    国家重点研发计划项目“区域二氧化碳捕集与封存关键技术研发与示范”(2022YFE0206800);国家重点研发计划项目“CO2驱油技术及地质封存安全监测”(2018YFB0605505);中国石化科技项目“油气区CO2封存机制及潜力评价方法研究”(P21075-1)

Risk management system and application of CO2 flooding and sequestration leakage

ZHANG Zhisheng1(),WU Xiangyang1,WU Qian2,WANG Jixing2,LIN Hanchi2,GUO Junhong2,WANG Rui3,LI Jinhua4,LIN Qianguo5()   

  1. 1. Xingzichuan Oil Production Plant, Yanchang Oil Field Corporation, Yan'an, Shaanxi 717400, China
    2. North China Electric Power University, College of Environmental Science and Engineering, Beijing 102206, China
    3. Sinopec Petroleum Exploration and Production Research Institute, Beijing 102206, China
    4. Shanghai Jiao Tong University, School of Environmental Science and Engineering, Shanghai 201306, China
    5. Shanghai Jiao Tong University, Research Institute of Carbon Neutrality, Shanghai 201306, China
  • Received:2023-05-22 Online:2024-02-26 Published:2024-03-05

摘要:

CO2驱油封存技术在提高原油采收率的同时能实现大规模CO2封存。然而,驱油封存过程伴随着多种CO2泄漏风险。针对以往CO2泄漏风险管理系统的缺乏,特别是缺少基于在线监测的管理系统,难以支撑动态的风险管理,研究基于CO2驱油封存泄漏风险管理体系的构建,开发了集成多环境实时风险识别和评估、多空间风险预测、多层级风险预警和全过程风险控制的动态CO2泄漏风险管理系统,并应用于鄂尔多斯盆地延长石油CO2驱油封存示范项目。案例应用研究表明,所开发的CO2泄漏风险管理系统可以全空间动态识别CO2驱油封存过程的各种泄漏风险,有效支撑泄漏风险的动态管理,为CO2驱油封存项目提供全面及时的安全保障。

关键词: CO2驱油封存, CO2泄漏, 风险管理, 风险预测, 风险预警, 决策支持

Abstract:

CO2 flooding and sequestration technology can significantly improve crude oil recovery rates while enge. However, the oil displaceabling large-scale CO2 flooding and sequestration process is accompanied by various CO2 leakage risks. In response to the lack of previous CO2 leakage risk management systems, especially the absence of systems based on online monitoring that support dynamic risk management, research has been conducted on the construction of a CO2 flooding and sequestration leakage risk management system. Based on the construction of CO2 flooding and storage leakage risk management system, a dynamic CO2 leakage risk management system integrating multi-environment real-time risk identification and assessment, multi-space risk prediction, multi-level risk early warning and whole process risk control was developed and applied to the CO2 flooding and storage demonstration project of Yanchang Petroleum in Ordos Basin. Case studies demonstrate that the developed CO2 leakage risk management system can dynamically identify various leakage risks throughout the CO2 flooding and sequestration process across all spaces, effectively supporting the dynamic management of leakage risks. This provides comprehensive and timely safety assurance for CO2 flooding and sequestration projects, ensuring that potential risks are managed and mitigated effectively to maintain the integrity and success of these projects.

Key words: CO2 flooding and sequestration, CO2 leakage, risk management, risk prediction, risk warning, decision support

中图分类号: 

  • TE38