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

doi:10.1016/j.jhydrol.2019.02.042

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 journal › Article › peer-review

4 Citations (Scopus)

Abstract

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 language	English
Pages (from-to)	32-39
Number of pages	8
Journal	Journal of Hydrology
Volume	572
DOIs	https://doi.org/10.1016/j.jhydrol.2019.02.042
Publication status	Published - 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

Access to Document

10.1016/j.jhydrol.2019.02.042

Cite this

Jeong, J., Park, E., Han, W. S., Kim, K. Y., & Yun, S. T. (2019). Feasibility study to optimize a near-surface sensor network design for improving detectability of CO ₂ leakage at a geologic storage site Journal of Hydrology, 572, 32-39. https://doi.org/10.1016/j.jhydrol.2019.02.042

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

abstract = " 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. ",

author = "Jina Jeong and Eungyu Park and Han, {Weon Shik} and Kim, {Kue Young} and Yun, {Seong Taek}",

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: {\textcopyright} 2019 Elsevier B.V.",

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Jeong, J, Park, E, Han, WS, Kim, KY & Yun, ST 2019, ' Feasibility study to optimize a near-surface sensor network design for improving detectability of CO ₂ leakage at a geologic storage site ', Journal of Hydrology, vol. 572, pp. 32-39. https://doi.org/10.1016/j.jhydrol.2019.02.042

Feasibility study to optimize a near-surface sensor network design for improving detectability of CO ₂ leakage at a geologic storage site . / Jeong, Jina; Park, Eungyu; Han, Weon Shik; Kim, Kue Young; Yun, Seong Taek.

In: Journal of Hydrology, Vol. 572, 05.2019, p. 32-39.

Research output: Contribution to journal › Article › peer-review

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AU - Yun, Seong Taek

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