CO2 leakage potentials prediction based on geostatistical simulations

Weon Shik Han, Eungy Park, Kue Young Kim

Research output: Contribution to journalConference article

Abstract

We studied the uncertainties in the predictions of supercritical CO 2 plume behavior and leakage potentials within heterogeneous media. For this purpose, hypothetical heterogeneous field with different geostatistical features were developed. The heterogeneous field represents a weakly non-stationary field, in which the geostatistical patterns of the mid-depth geology are similar. Two conditional non-parametric geostatistical simulation models, the Sequential Indicator Simulation, SISIM, and Generalized Coupled Markov Chain, GCMC, were applied for the stochastic characterizations. Then, predictive CO2 plume migration simulations based on multiple stochastic realizations were performed and summarized.

Original languageEnglish
Pages (from-to)3742-3746
Number of pages5
JournalEnergy Procedia
Volume37
DOIs
Publication statusPublished - 2013 Jan 1
Event11th International Conference on Greenhouse Gas Control Technologies, GHGT 2012 - Kyoto, Japan
Duration: 2012 Nov 182012 Nov 22

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Geology
Markov processes
Uncertainty

All Science Journal Classification (ASJC) codes

  • Energy(all)

Cite this

Han, Weon Shik ; Park, Eungy ; Kim, Kue Young. / CO2 leakage potentials prediction based on geostatistical simulations. In: Energy Procedia. 2013 ; Vol. 37. pp. 3742-3746.
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CO2 leakage potentials prediction based on geostatistical simulations. / Han, Weon Shik; Park, Eungy; Kim, Kue Young.

In: Energy Procedia, Vol. 37, 01.01.2013, p. 3742-3746.

Research output: Contribution to journalConference article

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