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http://dx.doi.org/10.9720/kseg.2018.2.183

The Stability Assessment of an Aquifer in Pohang Yeongil Bay due to CO2 Injection  

Kim, Nam-Hoon (Department of Energy Systems Engineering, Seoul National University)
Jung, Hyung-Sik (Department of Energy Systems Engineering, Seoul National University)
Kim, Gvan-Dek (Department of Energy Systems Engineering, Seoul National University)
Jeong, Hoonyoung (Department of Energy Resources Engineering, Seoul National University)
Shin, Hyundon (Department of Energy Resources Engineering, Inha University)
Kwon, Yi-Kyun (Department of Geoenvironmental Sciences, Kongju National University)
Choe, Jonggeun (Department of Energy Resources Engineering, Seoul National University)
Publication Information
The Journal of Engineering Geology / v.28, no.2, 2018 , pp. 183-192 More about this Journal
Abstract
It is imperative to inject carbon dioxide($CO_2$) into an aquifer for alleviating the emission of $CO_2$. However, faults in the aquifer can be reactivated due to pressure increasement. Analyses of pressure change of the aquifer is necessary to prevent the fault reactivation. In this research, we assess the stability of an aquifer in Pohang Yeongil bay by investigating the pressure variation of faults EF1 and EF2. Two scenarios, which repeat $CO_2$ injection and suspension during two years, are simulated. Each scenario includes cases of injection rates of 20, 40, and 100 tons/day. In addition, we analyze planned and predicted injection rates for each case. In case of 20 tons/day, the maximum pressure of faults is 65% of the reactivation pressure. Even if daily injection rates are increased to 40 and 100 tons/day, the maximum pressures are 71% and 80% of the reactivation pressures, respectively. For 20 and 40 tons/day cases, planned injection rates almost accord with predicted injection rates during whole simulation period. On the other hand, predicted injection rates are smaller than planned injection rates for the 100 tons/day case due to bottom-hole pressure limit of the injection well.
Keywords
Carbon capture storage; Pohang Yeongil bay; Aquifer stability;
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Times Cited By KSCI : 2  (Citation Analysis)
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1 Blunt, M., 2010, Carbon dioxide storage, Grantham Institute for Climate Change Briefing Paper, 4, 1-14.
2 Bachu, S., 2013, Drainage and Imbibition $CO_2$/Brine Relative Permeability Curves at in Situ Conditions for Sandstonse Formations in Western Canada, Energy Procedia, 37, 4428-4436.   DOI
3 Bachu, S., 2015, Review of $CO_2$ storage efficiency in deep saline aquifers, International Journal of Greenhouse Gas Control, 40, 188-202.   DOI
4 Burnside, N., Naylor, M., 2014, Review and implications of relative permeability of $CO_2$/brine systems and residual trapping of $CO_2$, International Journal of Greenhouse Gas Control, 23, 1-11.   DOI
5 Choi, B.Y., Park, Y.C., Shinn, Y.J., 2015, Preliminary results of numerical simulation in a small-scale $CO_2$ injection pilot site: 1. Prediction of $CO_2$ plume migration. Journal of the Geological Society of Korea, 51(5), 487-496.   DOI
6 Choi, B.Y., Shinn, Y.J., Park, Y.C., 2017, Simulation of $CO_2$ injection in a small-scale pilot site in the Pohang Basin, Korea: Effect of dissolution rate of chlorite on mineral trapping. International Journal of Greenhouse Gas Control, 59, 1-12.   DOI
7 Cooper, C., 2009, A technical basis for carbon dioxide storage, Energy Procedia, 1(1), 1727-1733.   DOI
8 Hosseini, S., Lashari, H., Choi, J.W., 2013, Static and dynamic reservoir modeling for geological $CO_2$ sequestration at Cranfield, Mississippi, U.S.A. International Journal of Greenhouse Gas Control, 18, 449-462.   DOI
9 Hwang, J.S., Baek, S.H., Lee H.S., 2016, Evaluation of $CO_2$ storage capacity and injectivity using a relief well in a saline aquifer in Pohang basin, offshore South Korea. Geosciences Journal, 20(2), 239-245.   DOI
10 Juanes, R., Spiteri, E., and Orr, F., 2006, Impact of relative permeability hysteresis on geological $CO_2$ storage. Water Resources Research, 42(12), W12418.   DOI
11 Jung, H.S., Jo, H.G., Kim, S.I., Choe, J.G., 2017, Recursive update of channel information for reliable history matching of channel reservoirs using EnKF with DCT. Journal of Petroleum Science Engineering, 154, 19-37.   DOI
12 Kang, B.C., Choe, J.G., 2017, Initial model selection for efficient history matching of channel reservoirs using ensemble smoother. Journal of Petroleum Science and Engineering, 152, 294-308.   DOI
13 Jung, H.S., Jo, H.G., Kim, S.I., and Choe, J.G., 2018, Geological model sampling PCA-assisted support vector machine for reliable channel reservoir characterization. Journal of Petroleum Science Engineering, 167, 396-405.   DOI
14 Kim, S.I., Jung, H.S., Lee, K.B., Choe, J.G., 2017, Initial ensemble design scheme for effective characterization of three-dimensional channel gas reservoirs with an aquifer, ASME. Journal of Energy Resources Technology, 139(2), 022911.   DOI
15 Kim, S.I., Lee, C.H., Lee, K.B., Choe, J.G., 2016, Characterization of channel oil reservoirs with an aquifer using EnKF, DCT, and PFR, Energy explor, Exploit, 34(6), 828-843.   DOI
16 Lee, H.K., Shin, Y.J., Ong, S.H., 2017, Fault reactivation potential of an offshore $CO_2$ storage site, Pohang Basin, South Korea. Journal of Petroleum Science and Engineering, 152, 427-442.   DOI