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Integrated Framework for Assessing Impacts of CO_2 Leakage on Groundwater Quality and Monitoring-Network Efficiency: Case Study at a CO_2 Enhanced Oil Recovery Site

机译:评估CO_2泄漏对地下水质量和监测网络效率的影响的综合框架:以CO_2强化采油场为例的案例研究

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摘要

This study presents a combined use of site characterization, laboratory experiments, single-well push-pull tests (PPTs), and reactive transport modeling to assess potential impacts of CO_2 leakage on groundwater quality and leakage-detection ability of a groundwater monitoring network (GMN) in a potable aquifer at a CO_2 enhanced oil recovery (CO_2 EOR) site. Site characterization indicates that failures of plugged and abandoned wells are possible CO_2 leakage pathways. Groundwater chemistry in the shallow aquifer is dominated mainly by silicate mineral weathering, and no CO_2 leakage signals have been detected in the shallow aquifer. Results of the laboratory experiments and the field test show no obvious damage to groundwater chemistry should CO_2 leakage occur and further were confirmed with a regional-scale reactive transport model (RSRTM) that was built upon the batch experiments and validated with the single-well PPT. Results of the RSRTM indicate that dissolved CO_2 as an indicator for CO_2 leakage detection works better than dissolved inorganic carbon, pH, and alkalinity at the CO_2 EOR site. The detection ability of a GMN was assessed with monitoring efficiency, depending on various factors, including the natural hydraulic gradient, the leakage rate, the number of monitoring wells, the aquifer heterogeneity, and the time for a CO_2 plume traveling to the monitoring well.
机译:这项研究提出了现场表征,实验室实验,单井推挽试验(PPT)和反应性输运模型的组合使用,以评估CO_2泄漏对地下水质量和地下水监测网络(GMN)泄漏检测能力的潜在影响)在CO_2提高采油率(CO_2 EOR)位置的饮用水层中。现场特征表明,堵塞和废弃井的故障可能是CO_2泄漏的途径。浅层含水层中的地下水化学成分主要受硅酸盐矿物风化作用的影响,在浅层含水层中未检测到CO_2泄漏信号。实验室实验和现场测试的结果表明,如果发生CO_2泄漏,不会对地下水化学产生明显损害,并且进一步通过基于批处理实验并已通过单井PPT验证的区域规模反应性运输模型(RSRTM)进行了确认。 。 RSRTM的结果表明,溶解的CO_2作为CO_2泄漏检测的指示剂比溶解的无机碳,pH和碱度在CO_2 EOR位点更好。通过监测效率来评估GMN的探测能力,取决于各种因素,包括自然水力梯度,泄漏率,监测井的数量,含水层的非均质性以及CO_2羽流到达监测井的时间。

著录项

  • 来源
    《Environmental Science & Technology》 |2015年第14期|8887-8898|共12页
  • 作者单位

    Bureau of Economic Geology, The University of Texas at Austin, Austin, Texas 78759, United States;

    Bureau of Economic Geology, The University of Texas at Austin, Austin, Texas 78759, United States;

    Bureau of Economic Geology, The University of Texas at Austin, Austin, Texas 78759, United States;

    Intelligent Optical Systems Inc., Torrance, California 90505, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 13:59:51

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