Elastic-wave sensitivity-guided adaptive seismic survey design for cost-effective monitoring of geological carbon storage
Published in International Journal of Greenhouse Gas Control, 2026
Recommended citation: Tian, Y., Yang, X., Huang, L., Gao, K., Iyer, J., & Vasylkivska, V. (2026). Elastic-wave sensitivity-guided adaptive seismic survey design for cost-effective monitoring of geological carbon storage. International Journal of Greenhouse Gas Control, 153, 104655. doi: 10.1016/j.ijggc.2026.104655. https://doi.org/10.1016/j.ijggc.2026.104655
This research presents a framework for designing cost-effective seismic monitoring systems to track CO2 movement in geological storage settings. The approach leverages elastic-wave sensitivity analysis to optimize sensor placement, with two complementary strategies: one selecting a predetermined number of seismic sources, and another choosing source-receiver pairs that capture a specified proportion of cumulative sensitivity energy. Tested on California’s Kimberlina site, both approaches successfully accommodate shifting plume geometries across multiple years after injection, enabling site-specific, cost-effective, and risk-informed seismic survey designs.
Recommended citation: Tian, Y., Yang, X., Huang, L., Gao, K., Iyer, J., & Vasylkivska, V. (2026). Elastic-wave sensitivity-guided adaptive seismic survey design for cost-effective monitoring of geological carbon storage. International Journal of Greenhouse Gas Control, 153, 104655. doi: 10.1016/j.ijggc.2026.104655.