A Lightweight Interactive Reduced-Order Geomodel for CO₂ Plume Migration Visualization and Sensitivity Screening

Understanding the first-order controls governing CO₂ plume migration is important for geological carbon storage education and preliminary reservoir screening. However, existing approaches often rely on computationally intensive reservoir simulators that are unsuitable for rapid conceptual learning. This study presents a lightweight interactive reduced-order educational tool developed in a Python/Google Colab environment for visualization and sensitivity analysis of simplified CO₂ plume migration. The framework integrates synthetic geomodel generation, simplified plume-growth relationships, buoyancy-driven migration, permeability anisotropy, and interactive parameter exploration within an openly reproducible workflow. Baseline-controlled tornado analysis, one-parameter sweeps, and two-parameter interaction analysis demonstrate the influence of key geological and operational parameters on simplified plume behaviour. Although not intended to replace full-physics reservoir simulation, the openly available Python/Google Colab notebook enables users to visualize, modify, and extend the reduced-order workflow for teaching, conceptual understanding, and preliminary CO₂ storage screening.