## 1 Introduction
This study addresses a research gap in the literature by providing the results of an experimental \begin{table}
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**Study Type/Sample Type** & **Study Objectives** & **Key Findings** & **References** \\ \hline Carbonate and basalt reservoirs & Assessed secondary imbibition dynamics under varying pressure and temperature levels for underground hydrogen storage (UHS) and CO\({}_{2}\) storage & This study found that an increase in the lateral secondary imbibition of water increases the gas trapping, which is useful for CO\({}_{2}\) storage but can be challenging for UHS due to the poor recovery of hydrogen. Low secondary imbibition in basalts makes them more suitable for UHS than CO\({}_{2}\) storage. & [15] \\ Carbonate reservoirs & To understand the pore scale physics of three phase flows using Nuclear Magnetic Resonance (NMR) measurements with corefloding experiments for EOR studies & These authors observed that 16\% of CO\({}_{2}\) was trapped, and 71\% of oil was recovered, with 34\% of this occurring during CO\({}_{2}\) flooding and 37\% during subsequent water flooding. & [16] \\ Sandstone reservoir & Studied the impact of mineral interactions on porosity–permeability evolution during CO\({}_{2}\) storage & These authors found that downward core flooding increased the trapping capacity of CO\({}_{2}\) compared to an upward injection. & [18] \\  & Storage capacity assessment using core flooding and micro X-ray computed tomography (MXCT) images & These authors found that downward core flooding increased the trapping capacity of CO\({}_{2}\) compared to an upward injection. & [17] \\  & & MXT images captured the CO\({}_{2}\) distribution. & [19] \\  & & Digital volumes were analyzed pre- and post-flooding, shedding light on mineral dissolution and precipitation as parameters affecting the permeability of the samples after 6 months of exposure. & [20] \\ Carbonate rock & Studied changes in rock and flow properties due to CO\({}_{2}\) injection & MXT and MICP data were used to study the changes in the pore network, affecting the injectivity of CO\({}_{2}\). & [22] \\  & & This study estimated the CO\({}_{2}\) storage capacity of 0.33 Gt of CO\({}_{2}\) at the CarbFix site (Iceland) by multiplying values of the connected porosity and reactive surface area obtained from MXT data by the volume of the basalt formation and mineral carbonation fixation per unit surface area from & [21] \\  & & These authors injected 1000 tons of CO\({}_{2}\) into the producing zone of the Degliai-1 reservoir, resulting in the permanent storing of CO\({}_{2}\) and the production oil. The success of this field trial indicates that CO\({}_{2}\) can be used to enhance the hydrocarbon recovery of Lithuanian reservoirs. & [23] \\  & & This study estimated the CO\({}_{2}\) storage capacity of Lithuanian reservoirs, showing maximum potential in the Syderai deep saline aquifer. & [7] \\  & & This study estimated the CO\({}_{2}\) storage capacity of Lithuanian reservoirs, showing maximum potential in the Syderai deep saline aquifer. & [23] \\  & & & \\ \hline \hline \end{tabular}
\end{table} 
Table 1: _Cont._analysis of core samples from Lithuanian deep saline aquifers, which have not previously been studied. Existing studies on CO2 storage in Lithuanian formations have primarily focused on theoretical models, leaving a gap in understanding the specific petrophysical characteristics of the formations. In this research, MXCT imaging was used to analyze key petrophysical parameters, such as porosity and permeability, at the pore scale [25; 26]. The methodology was benchmarked using core samples from analogous formations that are representative of Lithuanian aquifers. This study then applied the same analysis to actual core samples from the Lithuanian reservoirs. This approach ensures robust and accurate data that can inform future CO2 injection and storage efforts in this region.