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 journalArticle

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 languageEnglish
Pages (from-to)32-39
Number of pages8
JournalJournal of Hydrology
Volume572
DOIs
Publication statusPublished - 2019 May 1

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network design
feasibility study
leakage
sensor
multiphase flow
spacing
permeability
monitoring
monitoring network
method

Keywords

  • CO leakage
  • CO storage site
  • Monitoring network design
  • Monte Carlo simulation
  • Rule-based percolation model

ASJC Scopus subject areas

  • Water Science and Technology

Cite this

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, 01.05.2019, p. 32-39.

Research output: Contribution to journalArticle

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