Machine Learning to Discover, Characterize, and Produce Geothermal Energy
V.V. Vesselinov, M. Mudunuru, B. Ahmmed, S. Karra, D. O'Malley
Machine Learning Applications in Subsurface Energy Resource Management2022DOI 10.1201/9781003207009-6
Summary
This work describes how machine learning can support the discovery, characterization, and production of geothermal energy, an abundant renewable resource with major potential for grid resilience and domestic energy security. It emphasizes the role of data-driven methods in reducing exploration and development risk, improving resource understanding, and supporting more affordable geothermal deployment.