Tuesday, March 10, 2026

3:55 PM - 5:15 PM

London & New York

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Session Leads: Craig Jones, Aizo, Antoine, Desiree As geothermal energy and carbon storage become critical pillars in the global energy transition, digitalization plays an increasingly vital role in ensuring their reliability, scalability, and sustainability. This dedicated session will delve into the latest digital approaches for calibrating, validating, and integrating subsurface models and monitoring systems within geothermal and carbon storage operations. From machine learning-enhanced reservoir simulations to real-time sensor integration and uncertainty quantification, presenters will showcase cutting-edge methodologies that bridge data with decision-making. The session will highlight how automated workflows, and advanced analytics are improving the predictability, safety, and efficiency of both geothermal and CCS projects across their lifecycle. Experts from industry and academia will share real-world applications and cross-sector insights, focusing on how to overcome integration challenges, validate digital models with field data, and ensure robustness in dynamic subsurface environments. Join us to explore how targeted digital innovation can elevate geothermal and carbon storage solutions—accelerating deployment and building confidence in these essential technologies for a low-carbon future.

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