S009-0011
Seismic Imaging Capability for Locating CO2 Leakage: A Synthetic Study

Tuesday, 8 December 2020
Poster
Zongcai Feng1, Lianjie Huang2, Kai Gao2, Erika Gasperikova3 and Quanlin Zhou3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)Los Alamos National Laboratory, Geophysics Group, Los Alamos, NM, United States, (3)Lawrence Berkeley National Laboratory, Berkeley, CA, United States
Abstract:
The 3D Kimberlina 2 model is built for modeling hypothetical, commercial-scale geologic carbon storage and CO2 leakage through a real fault at the Kimberlina site in the southern San Joaquin Basin, CA. The model is used for studies in the U.S. National Risk Assessment Program, a collaborative research program among the U.S. Department of Energy’s national laboratories. We use the 2D Kimberlina elastic models with various stages of CO2 leakage to study the capability of seismic imaging for locating CO2 leakage plumes. We use the models to generate synthetic surface elastic-wave reflection data, and perform least-squares elastic reverse-time migration to invert for images of P- and S-wave velocities and density. We use the time-lapse differences of the images obtained from noise-free and noisy data to locate plumes of leaked CO2 in the shallow, middle, and deep formations. Our results show that least-squares elastic reverse-time migration can locate the very early stages of CO2 leakage with noise-free data, and that the capability decreases with increasing noise levels.