Laying the groundwork for a greener future: ML for characterizing and managing geologic reservoirs

Summary

This presentation discusses how machine learning can support characterization and management of geologic reservoirs used for water supply, geothermal production, carbon sequestration, energy storage, mining, and waste disposal. It highlights unsupervised, supervised, and science-informed ML methods delivered through cloud-based tools to improve reservoir optimization while reducing environmental impacts and decision uncertainty.

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