Mr. Enrico Scarpa, University of Lorraine, France
Enrico Scarpa is a highly skilled Numerical Geoscientist with a strong background in geological sciences and expertise in subsurface modeling. He currently works as a Design Engineer R&D Upstream at Akkodis Digital SAS at the TotalEnergies Research Center in Pau, France, focusing on developing advanced geomodeling software to improve the geological representativeness of reservoir models. Enrico has hands-on experience with geological and engineering software, including tools for multiphase flow behavior in oil & gas and geothermal reservoirs. His research career spans roles at the University of Lorraine, where he designed pre- and post-processing tools for reservoir simulations and developed Python libraries for geological applications. Enrico’s academic background includes a PhD in Numerical Geology at Université de Lorraine and an MSc in Earth Sciences from Università degli Studi di Milano, with additional studies in stochastic hydrogeology and geostatistics at Université de Neuchâtel. He is fluent in Italian, English, and French and has received several awards for his work, including the 2022 Best Student Poster Award at the International Association of Mathematical Geosciences conference.
Professional Profile 🎓
Google Scholar
Summary of Suitability for Best Researcher Award 🌍
Enrico Scarpa appears to be a highly suitable candidate for the Best Researcher Award based on his extensive academic background, impressive skill set, and significant contributions to the field of numerical geosciences, particularly in the areas of subsurface modeling, geological sciences, and 3D numerical simulations.
Education 📚
- 2021 – 2025: PhD in Numerical Geology, Université de Lorraine (France)
- Focus: Flow-based behavior of channelized sedimentary deposits (Analysis and reproduction)
- Advisors: Prof. Pauline Collon, Prof. Guillaume Caumon
- 2018 – 2020: MSc in Earth Sciences, Università degli Studi di Milano (Italy)
- Focus: Karstic network modeling with Multiple-Point Statistics (MPS) at the Poitiers site
- Advisors: Prof. Philippe Renard, Prof. Alessandro Comunian
- 2018 – 2019: Exchange Studies, Université de Neuchâtel (Switzerland)
- Courses & Master thesis in stochastic hydrogeology and geostatistics
- 2014 – 2017: BSc in Geological Sciences, Università degli Studi di Milano (Italy)
- Focus: Numerical simulation of the metamorphic aureole of Bielle Pluton
- Advisors: Prof. Davide Zanoni, Prof. Manuel Roda
Work Experience 💼
- 2024 – Present (10 months): Design Engineer R&D Upstream, Akkodis Digital SAS at the TotalEnergies Research Center in Pau, France.
- Development of advanced geomodeling software to improve geological representativeness of reservoir models
- Responsible for testing development tools and increasing technological readiness (TRL3 to TRL6)
- Collaboration in a multidisciplinary team to assess product quality and create user guides
- 2020 – 2024 (4 years & 2 months): Research Numerical Geoscientist, University of Lorraine (France)
- Supervision of MSc and BSc student laboratory projects
- Designed pre- and post-processing tools in Python for ECLIPSE reservoir simulator data
- Development of a Python library for geological applications and creation of training with Jupyter Notebooks
- 2019 – 2020 (1 year & 2 months): Graduate Research Geoscientist, University of Neuchâtel (Switzerland)
- Applied Multiple-Point Statistics (MPS) to improve groundwater flow modeling in karst aquifers
- Created 3D training images of karst systems and tested cross-validation accuracy of MPS modeling methods
- Conducted static modeling and groundwater flow simulations with Flopy (Python interface for MODFLOW)
- 2019 (2 months): Graduate Field Geologist, University of Poitiers (France)
- Integrated geological, geophysical, and hydrogeological data sets to assess the architecture of the karst network at the Hydrogeological Experimental Site
- Conducted hydrogeological tests and seismic data conversion to petrophysical models
Awards and Recognition🏅
- 2022 Best Student Poster Award: 21st Annual Conference of the International Association of Mathematical Geosciences.
- 2018 SEMP Scholarship: Swiss European Mobility Programme funded by the Swiss Federal Government (1 year).
Research Skills 🔬
- Geological Modeling: Skilled in designing and implementing subsurface models, with expertise in multiphase flow behavior for both oil & gas and geothermal reservoirs.
- Numerical Simulations: Proficient in 3D numerical simulations, including flow-based behavior of channelized sedimentary deposits and groundwater flow modeling using Python-based tools (e.g., Flopy for MODFLOW).
- Statistical Modeling: Applied Multiple-Point Statistics (MPS) to improve groundwater flow modeling in karst aquifers, including 3D training images creation and model cross-validation.
- Geostatistics: Strong background in stochastic hydrogeology and geostatistics, with experience in integrating geological, geophysical, and hydrogeological data sets.
- Software Development: Developed pre- and post-processing tools and Python libraries for geological applications and reservoir simulations (ECLIPSE). Expertise in geological modeling software (e.g., Ar2Gems, Skua-GoCad, and Sismage-CIG).
- Data Analysis & Visualization: Proficient in data analysis and visualization using Python, ParaView, QGIS, and ArcGIS for geological and hydrological datasets.
- Scientific Communication: Demonstrated ability to communicate complex research findings through scientific posters and presentations at international conferences. Experienced in writing user guides and documentation for developed software.