CO2 Migration Modeling

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For carbon capture and sequestration to be effective, it must sequester CO₂ for hundreds or thousands of years. Thus, understanding the long-term migration of sequestered CO₂, particularly in underground saline reservoir formations but also in basalts, is of critical importance. Machine learning can help speed up computationally intensive reservoir simulation models by orders of magnitude, accelerating the speed at which scientists can answer key questions.