EGU26-11734, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-11734
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Friday, 08 May, 16:15–18:00 (CEST), Display time Friday, 08 May, 14:00–18:00
 
Hall X4, X4.26
Subsurface characterization and reservoir selection in Lithuania for underground hydrogen storage
Apoorv Verma1, Shankar Lal Dangi2, and Mayur Pal3
Apoorv Verma et al.
  • 1Kauno Technologijos Universitetas, Department of Mathematical Modelling, Kaunas, LT-51368, Lithuania (apoorv.verma@ktu.lt)
  • 2Kauno Technologijos Universitetas, Department of Mathematical Modelling, Kaunas, LT-51368, Lithuania (shankar.dangi@ktu.edu)
  • 3Kauno Technologijos Universitetas, Department of Mathematical Modelling, Kaunas, LT-51368, Lithuania (mayur.pal@ktu.lt)

This study investigates subsurface characterization and reservoir selection for underground hydrogen storage (UHS) in Lithuania, emphasizing geological viability and storage integrity. ​ Lithuania's reservoirs exhibit promising characteristics for UHS, including favorable porosity, permeability, and caprock integrity. ​ A preliminary study of  10-year simulation of hydrogen injection and recovery in the Syderiai saline aquifer demonstrated the feasibility of UHS, though recovery efficiency was reduced by nearly 50% when using a single well for both injection and production. ​ Volumetric analysis estimated a combined storage capacity of approximately 898.5 Gg H2 (~11 TWh) for the Syderiai and Vaskai saline aquifers. ​ After this preliminary study, a systematic approach was utilized to evaluate and rank Lithuanian geological sites for UHS using multi-criteria decision-making (MCDM) methods in details. The study involved identifying and collecting data on essential parameters, which were divided into technical, safety, and environmental aspects. Subsequently, geological options such as salt caverns, brine ponds, and depleted oil reserves were selected. The parameters were validated, converted to numerical values, and organized into a scoring matrix for compatibility with the MCDM method. Challenges such as data gaps and weight assignments were addressed by incorporating expert input and refining the methods to emphasize positively contributing parameters. The study also highlights the importance of collaboration between researchers, industry stakeholders, and policymakers to ensure safe, cost-effective, and sustainable UHS solutions that support Lithuania's transition to a clean energy system.

How to cite: Verma, A., Dangi, S. L., and Pal, M.: Subsurface characterization and reservoir selection in Lithuania for underground hydrogen storage, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-11734, https://doi.org/10.5194/egusphere-egu26-11734, 2026.