Feasibility study to optimize a near-surface sensor network design for improving detectability of CO 2 leakage at a geologic storage site

Jina Jeong, Eungyu Park, Weon Shik Han, Kue Young Kim, Seong Taek Yun

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


We explored the feasibility of an improved design of a CO 2 leakage monitoring network at a geologic storage site. To effectively represent CO 2 pathways, a rule-based percolation model was adopted rather than the rigorous multiphase flow model based on Darcy's equation. Five different monitoring network designs were compared using a few scenarios and multiple correlated random field realizations. The ensemble results showed that given the detection uncertainty across the entire sensor network, regular spacing deployment of sensors is the most effective method when a sufficient number of sensors is available. The results also showed that an aggressive monitoring design based on information of the spatial permeability distribution near the surface can be a viable method when a limited number of sensors is employed. However, such an aggressive design can lead to elevated uncertainty in leakage detectability.

Original languageEnglish
Pages (from-to)32-39
Number of pages8
JournalJournal of Hydrology
Publication statusPublished - 2019 May

Bibliographical note

Funding Information:
Financial support for this study was provided by the Korea Environmental Industry and Technology Institute (project title: Development and field verification of environmental risk estimation system for CO2 leakage, project 2018001810004).

Publisher Copyright:
© 2019 Elsevier B.V.

All Science Journal Classification (ASJC) codes

  • Water Science and Technology


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