论文名称： CO2 Leakage Identification in Geosequestration Based on Real Time Correlation Analysis Between Atmospheric O-2 and CO2
作者： Ma, Denglong(1,2); Deng, Jianqiang(2); Zhang, Zaoxiao(1,2)
来源出版物： CHINESE JOURNAL OF CHEMICAL ENGINEERING
年卷期页： 2014,22(6):634-642.
收录类型： SCI:AG3JE,WOS:000335311100004;EI:20141817644830
论文简介： 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 concen-tration 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 concen-tration. ALF is capable of detecting concentration increase when the leakage occurs while ALFs is useful in all pe-riods of leakage. Both ALF and ALFs are potential approaches to monitor CO2 leakage in geosequestration project.
原文链接： CO2 Leakage Identification in Geosequestration Based on Real Time Correlation Analysis Between Atmospheric O-2 and CO2