Artificial intelligence for carbon storage
AI for Carbon Storage
Accelerate Your Transition to More Sustainable Practices

The challenges with carbon storage solutions arise in how carbon storage projects need to be analyzed and monitored for thousands of years to ensure storage integrity. Determining the best locations of injection wells requires thousands and millions of simulations. Real-time data ingestion and multi-realization analyses are also necessary to maneuver the uncertainty of reservoir and carbon dioxide plume propagation. This requires significant financial investments and turnaround durations that are often unfeasible.

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<p>Creation of accurate reservoir models</p>

Creation of accurate reservoir models

<p>Detect anomalies or potential leaks in the storage reservoir</p>

Detect anomalies or potential leaks in the storage reservoir

<p>Optimization of the injection and extraction process</p>

Optimization of the injection and extraction process

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Artificial intelligence for smart energy and renewables