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arXiv cs.LG·

Towards Fast GNN Surrogates for CO2 Migration in Complex Geological Formations

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In three linesGNN surrogate for CO₂ migration forecasting in complex geological formations. Model trained on SPE11A benchmark with anisotropic message-passing mechanism capturing directional transport. Produces competitive forecasts of gas saturation and liquid-phase density over extended forecasting horizons.
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