Mr. Giovanni Pantaleo | CO2 Storage | Best Researcher Award
Giovanni Pantaleo at University of Trieste, Italy.
Mr. Giovanni Pantaleo is an emerging researcher in geophysics and energy storage monitoring, currently in the final year of his PhD program in Earth Sciences, Fluid Dynamics, and Mathematics at the University of Trieste, Italy. His work pioneers the integration of artificial intelligence in the characterization, inversion, and monitoring of CO₂ and hydrogen underground storage reservoirs using seismic and GPR data. His innovative research, blending traditional geophysical methods with AI, supports safer and more efficient energy transition solutions. A proactive and inquisitive scholar, he brings academic rigor and practical relevance to climate and energy challenges.
Professional Profile
Education 🎓📚
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PhD in Earth Sciences, Fluid Dynamics, and Mathematics
University of Trieste, Italy (2022–Present)
Research Focus: AI-based reservoir monitoring for CO₂ & H₂ storage -
Master’s in Geosciences – Geophysics
University of Trieste, Italy (2019–2022)
Thesis: 4D seismic analysis for CO₂ plume monitoring at Sleipner -
Bachelor’s in Geological Sciences
University of Torino, Italy (2016–2019)
Thesis: Paleomagnetic study of obsidianaceous flow (Vulcano, Lipari)
Professional Experience 🧑🏫💼
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Principal Investigator (P.I.), SINTEF – Svelvik CO₂ Field Lab, Norway (May–June 2025)
Led SBEM project on CO₂ leakage detection using GPR and seismic techniques. -
P.I. at Cineca-HPC, Italy (Feb 2025)
Oversaw computational project on high-performance computing for geophysical applications. -
University Tutor, University of Trieste (2024–2025)
Taught geophysical data acquisition and seismic labs. -
PhD Trainee, GeoNeurale – Wavefields, Munich, Germany (Apr–Aug 2023)
Developed AI-driven geophysical models for geothermal energy. -
Erasmus Trainee, NTNU, Trondheim, Norway (Sep 2021–Jan 2022)
Research stay focused on North Sea reservoir imaging.
Research Interest 🔬📈
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Seismic reflection and GPR data processing
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AI in geophysical inversion and reservoir characterization
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Time-lapse seismic monitoring (4D seismic)
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Hydrogen and CO₂ underground storage safety
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Rock physics modeling and full waveform inversion (FWI)
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Climate and energy transition geoscience
Publications Top Noted
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Estimation of CO₂ Saturation Maps via Multi-Scale Deep Learning
Geoenergy, 2024 – Pantaleo, Molossi, Pipan -
Monitoring Elastic Parameters During H₂ Storage Using FWI
EAGE GET2024, Rotterdam – Pantaleo, Roncoroni, Pipan -
Assessment of DL Frameworks for Time-Lapse Seismic Monitoring
EGU General Assembly, 2025 – Pantaleo, Pipan -
Application of Deep Learning for CO₂ Saturation Mapping
EAGE PeGe2023, Portugal – Pantaleo, Molossi, Pipan
Conclusion 🌟🎯
Mr. Giovanni Pantaleo exemplifies a next-generation researcher whose work is deeply aligned with global energy transition goals. His integration of AI-driven geophysics, hands-on leadership as a Principal Investigator, and commitment to solving real-world energy and climate issues mark him as a top contender for the Best Researcher Award in CO₂ Storage.
With continued publication efforts and expanded collaborative visibility, Mr. Pantaleo is on a trajectory to become a thought leader in sustainable subsurface energy monitoring.