H202-03
Simulating natural variations of CO2 gas concentration in the vadose zone wells and a simple application for predicting CO2 leakage

Wednesday, 16 December 2020: 05:36
Virtual
Wontak Joun1, Seung-Wook Ha2, Seong-Sun Lee2 and Kang Kun Lee1, (1)Seoul National University, Seoul, Korea, Republic of (South), (2)Seoul National University, School of Earth and Environmental Sciences, Seoul, Korea, Republic of (South)
Abstract:
To mitigate the climate changes, the geologic carbon sequestration has been proposed as an appropriated technique by injecting CO2 into the safety geologic layers. However, because there are unrecognized risks, detecting the signal of potential CO2 leaking is one of the important rules and especially CO2 gas monitoring near the surface is critical because it is not only the last detection boundary of leaked CO2 but also the area closest zone to the surface. Thus, to understand the impact of CO2 leakage on the surface environment and to develop a CO2 monitoring technique that is available near the surface, the controlled CO2 release (CCR) test was planned in the K-COSEM study area. However, the background concentration of CO2 gas was high with over 12,000 ppm (vol./ vol.) before the test and the daily variations of CO2 gas concentration were very significantly varied according to day and night. Thus, this study intended to simulate the natural variations in CO2 gas concentration and to reproduce the pattern of CO2 gas concentration when performing field tests to address this problem by using a numerical model. The result of the numerical model provided the good matched signals and magnitude of gas concentrations with the real-time observed CO2 gas concentration. It is expected that these primary results of the model will provide useful data for separating CO2 gas leakage signals mixed with the naturally occurring CO2 gas, as well as predicting a detectable signal during the CCR test later using the gas monitoring wells near the surface.

Acknowledgment

Financial support was provided by the “R&D Project on Environmental Management of Geologic CO2 Storage” from the KEITI (Project Number: 2018001810002).