Boundary condition fidelity for bottom-hole pressure and CO2 plume prediction in geological carbon storage
arXiv:2606.27515v1 Announce Type: new Abstract: Accurate prediction of bottom-hole pressure (BHP) and CO2 plume migration is essential for safe geological carbon storage, yet practical simulations often rely on truncated domains where artificial boundaries distort pressure diffusion and CO2 saturation footprints. In this study, we evaluate how boundary-condition fidelity affects BHP and CO2 plume prediction by comparing ten reduced-domain boundary treatments against full-domain reference simulations in homogeneous and heterogeneous reservoirs. We test uniform pore-volume multipliers, transmiss
The increasing focus on geological carbon storage as a climate mitigation strategy necessitates more accurate and reliable simulation tools for safe and efficient operations, driving research into boundary condition effects.
Accurate prediction of bottom-hole pressure and CO2 plume migration is critical for the safety, longevity, and regulatory approval of large-scale carbon capture and storage projects, directly impacting their viability.
Improved understanding of boundary condition fidelity can lead to more reliable and less computationally intensive simulations for carbon storage, potentially accelerating project development and reducing operational risks.
- · Geological carbon storage operators
- · Climate tech investors
- · Energy sector
- · AI/ML researchers in geoscience
- · Companies relying on less accurate simulation methods
- · Projects with sub-optimal CO2 injection strategies
More robust and efficient planning for geological carbon storage projects becomes possible.
Increased investor confidence and public acceptance of carbon storage due to enhanced safety and predictability.
Accelerated deployment of carbon removal technologies contributes to global decarbonization efforts and potentially new energy market structures.
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Read at arXiv cs.LG