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Daniele Blancone

@danieleblancone

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I build AI/ML subsurface workflows for seismic interpretation, lithofacies classification, and geomechanical modelling.

Norway

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What I'm looking for

I'm looking to apply AI/ML, scientific software development, and subsurface interpretation to real geoscience and energy-storage challenges, with opportunities to test tools on real data, collaborate across disciplines, and communicate results to industry.

I'm a PhD researcher at the University of Stavanger developing AI/ML-assisted workflows for subsurface interpretation and energy-storage applications in the Norwegian North Sea.

I built a semi-automated lithofacies classification workflow across 145 wells, combining petrophysical log responses with quantitative uncertainty assessment and an interactive well-log interpretation application.

I also developed a GPU-accelerated geomechanical solver in Julia to model stress evolution around salt caverns and evaluate the effects of lithological heterogeneity. This work has been presented at EAGE and is being prepared for publication.

My work brings together seismic interpretation, well-log and core data, Python and Julia development, and reproducible AI-assisted workflows. I independently designed and deployed a privacy-first multi-agent AI assistant, and I communicate technical results through peer-reviewed research and industry presentations.

Experience

Work history, roles, and key accomplishments

PhD Researcher in Geosciences

University of Stavanger

Jan 2023 - Feb 2027 (4 years 1 month)

Developed ML-assisted seismic interpretation and lithofacies classification workflows, and built a GPU-accelerated geomechanical simulation tool in Julia. Delivered regional-scale characterization of the Zechstein Group and contributed to peer review and academic mentoring.

Machine Learning Seismic Interpretation Log Analysis Petrophysics Julia Python GPU Computing Geomechanical Modelling Uncertainty Quantification Volumetrics CO2 Storage Research Teaching Mentorship

Education

Degrees, certifications, and relevant coursework

University of Stavanger

PhD, Geosciences

2023 -

PhD candidate in Geosciences, expected to complete in February 2027. Research focuses on salt characterization and modelling for energy storage and exploration in the Norwegian North Sea.

University of Naples Federico II

Master of Science, Geology and Applied Geology

Grade: 110/110 cum laude

MSc in Geology and Applied Geology, graduated with top grade 110/110 cum laude. Thesis on structural and kinematic characterization of the Seagap Fault, offshore East Africa.

University of Naples Federico II

Bachelor of Science, Geology and Applied Geology

Grade: 110/110 cum laude

BSc in Geology and Applied Geology, graduated with top grade 110/110 cum laude. Included marine geophysical survey experience aboard a CNR research vessel.