Alberto Manuel Garcia Navarro

Alberto Manuel Garcia Navarro's picture

Ph.D. candidate in Materiali, Processi Sostenibili E Sistemi Per La Transizione , 38th cycle (2022-2025)
Department of Environment, Land and Infrastructure Engineering (DIATI)

Profile

PhD

Tutors

Research interests

Cluster analysis
Insar data
Machine learning
Oil&gas
Petroleum engineering
Project management
R programming
Subsidence
Ugs
Underground gas storage

Curriculum

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Research topics

  • Machine learning and Big Data Analytics tools applications for anthropic-related subsidence, both characterization and study. Focus on the injection/production of fluids in the underground (H2, water and hydrocarbons) over the Po Plain, Italy.

Research

Other activities and projects related to research

We study how machine learning and big data analytics, using InSAR data, can help us to better understand the subsidence-related effects.

Publications

PoliTO co-authors

Latest publications View all publications in Porto@Iris

Society and Enterprise

Patents and other intellectual properties