Fabio Macelloni is a PhD student in Geosciences and Environment at the Department of Earth Sciences of the University of Pisa. He is part of the Geophysics group and his research activity is mainly focused on the application of machine learning and probabilistic optimization approach to Full-Waveform Inversion. He is interested in the application of machine learning to Earth sciences and in inverse problems, both for deep and near surface investigations. He is currently working on the implementation of an Ensemble-Based approach to Full-Waveform Inversion. The main goal of the project is the development of a methodology able to speed up the probabilistic FWI to obtain a reliable reconstruction of the seismic wave velocity distribution in the subsurface. The algorithm will be applied to data from an Enhanced Geothermal System, with the aim of providing a velocity field for a more accurate localization of the microseismic events caused by the stimulation operations.
BSc in Physics at University of Pisa, 2017.
MSc in Exploration and Applied Geophysics at University of Pisa, 2022. Thesis concerning the approximation of the objective function through machine learning and application to a global inversion of ERT data performed with genetic algorithms.
RESEARCH INTEREST
- Inverse problems
- Machine learning
- Full-Waveform Inversion
- Geophysical modeling
Research project: Velocity field estimation in a geothermal reservoir through deep-learning accelerated, probabilistic Full-Waveform Inversion.
Supervisors:
Professor Mattia Aleardi
Professor Eusebio Maria Stucchi
Dr Francesco Grigoli
Fabio Macelloni
Dipartimento di Scienze della Terra
Università di Pisa
Via Santa Maria 53
56126 Pisa
Italia