• Applicability of the Multi-Channel Surface-soil CO2-concentration Monitoring (SCM) System as a Surface Soil CO2 Monitoring Tool
  • Sung, Ki-Sung;Yu, Soonyoung;Choi, Byoung-Young;Park, Jinyoung;Han, Raehee;Kim, Jeong-Chan;Park, Kwon Gyu;Chae, Gitak;
  • Geotech Consultant Co., LTD.;Research Institute for Social Criticality, Pusan National University;Korea Institute of Geoscience and Mineral Resources (KIGAM);Korea Institute of Geoscience and Mineral Resources (KIGAM);Korea Institute of Geoscience and Mineral Resources (KIGAM);Korea Institute of Geoscience and Mineral Resources (KIGAM);Korea Institute of Geoscience and Mineral Resources (KIGAM);Korea Institute of Geoscience and Mineral Resources (KIGAM);
  • 다채널 지표토양 CO2 농도 모니터링(SCM) 시스템 개발 및 적용성 평가 연구
  • 성기성;유순영;최병영;박진영;한래희;김정찬;박권규;채기탁;
  • 지오텍컨설탄트;부산대학교 사회급변현상연구소;한국지질자원연구원;한국지질자원연구원;한국지질자원연구원;한국지질자원연구원;한국지질자원연구원;한국지질자원연구원;
Abstract
Monitoring of $CO_2$ release through the ground surface is essential to confirm the safety of carbon storage projects. We conducted a feasibility study of the multi-channel surface-soil $CO_2$-concentration monitoring (SCM) system as a soil $CO_2$ monitoring tool with a small scale injection test. The background concentrations showed the distinct diurnal variation. The negative relation of $CO_2$ with temperature and the low $CO_2$ concentrations during the day imply that surface-soil $CO_2$ depends on photosynthesis and respiration. After 4.2 kg of $CO_2$ injection (1 m depth for 29 minutes), surface-soil $CO_2$ concentrations increased in the all five chambers, which were located less than 2.8 m of distance from each other. The $CO_2$ concentrations seem to be recovered to the background around 4 hours after the injection ended. To determine the leakage, the data from Chamber 2 and 5 with low increase rates were used for statistical analyses. Coefficient of variation for 30 minutes ($CV_{30min}$.) is efficient to determine a leakage signal, with reflecting the fast change in $CO_2$ concentrations. Consequently, SCM and $CV_{30min}$ could be applied for an efficient monitoring tool to detect $CO_2$ release through the ground surface. Also, this study provides ideas for establishing action steps after leakage detection.

Keywords: Geologic $CO_2$ storage;soil $CO_2$ monitoring;injection test;

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This Article

  • 2015; 20(1): 41-55

    Published on Feb 28, 2015

  • 10.7857/JSGE.2015.20.1.041
  • Received on Dec 24, 2014
  • Revised on Feb 25, 2015
  • Accepted on Feb 25, 2015