SCI和EI收录∣中国化工学会会刊

Chin.J.Chem.Eng. ›› 2014, Vol. 22 ›› Issue (6): 634-642.DOI: 10.1016/S1004-9541(14)60094-X

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CO2 Leakage Identification in Geosequestration Based on Real Time Correlation Analysis Between Atmospheric O2 and CO2

MA Denglong1,2, DENG Jianqiang2, ZHANG Zaoxiao 1,2   

  1. 1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    2. School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China
  • Received:2013-04-08 Revised:2013-06-07 Online:2014-06-06 Published:2014-06-28
  • Supported by:

    supported by the National Natural Science Foundation of China (51276141, 20936004).

CO2 Leakage Identification in Geosequestration Based on Real Time Correlation Analysis Between Atmospheric O2 and CO2

马登龙1,2, 邓建强2, 张早校1,2   

  1. 1. State Key Laboratory of Multiphase Flow in Power Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
    2. School of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an 710049, China
  • 通讯作者: CHEN Bingzhen
  • 基金资助:

    supported by the National Natural Science Foundation of China (51276141, 20936004).

Abstract: The paper describes a method for monitoring CO2 leakage in geological carbon dioxide sequestration. A real time monitoring parameter, apparent leakage flux (ALF), is presented to monitor abnormal CO2 leakage, which can be calculated by atmospheric CO2 and O2 data. The computation shows that all ALF values are close to zero-line without the leakage. With a step change or linear perturbation of concentration to the initial CO2 concentration data with no leakage, ALF will deviate from background line. Perturbation tests prove that ALF method is sensitive to linear perturbation but insensitive to step change of concentration. An improved method is proposed based on real time analysis of surplus CO2 concentration in least square regression process, called apparent leakage flux from surplus analysis (ALFs), which is sensitive to both step perturbation and linear perturbations of concentration. ALF is capable of detecting concentration increase when the leakage occurs while ALFs is useful in all periods of leakage. Both ALF and ALFs are potential approaches to monitor CO2 leakage in geosequestration project.

Key words: CO2 monitor, carbon storage, gas leakage, O2/CO2 exchange, correlation analysis

摘要: The paper describes a method for monitoring CO2 leakage in geological carbon dioxide sequestration. A real time monitoring parameter, apparent leakage flux (ALF), is presented to monitor abnormal CO2 leakage, which can be calculated by atmospheric CO2 and O2 data. The computation shows that all ALF values are close to zero-line without the leakage. With a step change or linear perturbation of concentration to the initial CO2 concentration data with no leakage, ALF will deviate from background line. Perturbation tests prove that ALF method is sensitive to linear perturbation but insensitive to step change of concentration. An improved method is proposed based on real time analysis of surplus CO2 concentration in least square regression process, called apparent leakage flux from surplus analysis (ALFs), which is sensitive to both step perturbation and linear perturbations of concentration. ALF is capable of detecting concentration increase when the leakage occurs while ALFs is useful in all periods of leakage. Both ALF and ALFs are potential approaches to monitor CO2 leakage in geosequestration project.

关键词: CO2 monitor, carbon storage, gas leakage, O2/CO2 exchange, correlation analysis