Reactive transport modelling under supercritical conditions

Altar, Dale Emet; Kaya, Eylem; Zarrouk, Sadiq J.; Passarella, Mauro; Mountain, Bruce W.

doi:10.1016/j.geothermics.2023.102725

Cited by 3 publications

(1 citation statement)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the realm of geochemical models coupled with flow models in porous media, the Transition State Theory (TST) [14] is frequently employed to simulate CO 2 mineralization [15][16][17][18][19][20][21][22]. However, the impact of kinetic parameters of TST on simulation outcomes has not been sufficiently researched, particularly when considering the potential influence of lithology on carbonate mineral dissolution and mineralization associated with CO 2 injection.…”

Section: Introductionmentioning

confidence: 99%

Unveiling the Essential Parameters Driving Mineral Reactions during CO2 Storage in Carbonate Aquifers through Proxy Models

Machado,

Khanal,

Delshad

2024

Applied Sciences

View full text Add to dashboard Cite

Numerical simulation is a commonly employed technique for studying carbon dioxide (CO2) storage processes in porous media, particularly saline aquifers. It enables the representation of diverse trapping mechanisms and the assessment of CO2 retention capacity within the subsurface. The intricate physicochemical phenomena involved necessitate the incorporation of multiphase flow, accurate depiction of fluid and rock properties, and their interactions. Among these factors, geochemical reaction rates and mechanisms are pivotal for successful CO2 trapping in carbonate reactive rocks. However, research on kinetic parameters and the influence of lithology on CO2 storage remains limited. This limitation is partly due to the challenges faced in laboratory experiments, where the time scale of the reactions and the lack of in situ conditions hinder accurate measurement of mineral reaction rates. This study employs proxy models constructed using response surfaces calibrated with simulation results to address uncertainties associated with geochemical reactions. Monte Carlo simulation is utilized to explore a broader range of parameters and identify influential factors affecting CO2 mineralization. The findings indicate that an open database containing kinetic parameters can support uncertainty assessment. Additionally, the proxy models effectively represent objective functions related to CO2 injectivity and mineralization, with calcite dissolution playing a predominant role. pH, calcite concentration, and CO2 injection rate significantly impact dolomite precipitation, while quartz content remains unaffected.

show abstract