France
Born in the tropics of Tahiti, I grew up with a deep awareness of water as a precious, finite resource. Early on, I recognized the global importance of its management and accessibility. My first encounter with a geophysicist didn’t happen behind a 30” monitor... but in my schoolyard, where a Ground Penetrating Radar survey for groundwater detection was underway. This experience sparked my curiosity and set me on a path to leave my island and pursue geophysics studies in Strasbourg. My first professional chapter began in Scotland with TotalEnergies, where I joined an exploration team driven by a shared passion for geosciences. Inspired to deepen my knowledge, I secured sponsorship from Equinor to attend IFP School, leading to an internship in Oslo at Equinor's headquarters. Graduating amidst a volatile oil market, I spent the next ten months traveling before resuming my job search. Eventually, I landed a VIE role with TotalEnergies in Qatar, transitioning from exploration to reservoir geophysics. Immersed in inversion, classification, SOR wells, and round-the-clock drilling operations, I discovered a new and exciting side of geosciences. This unforgettable experience evolved into a full-time role in March 2019, when I joined the Time-Depth Conversion & Geomodelling team in Pau, building expertise over four and a half enriching years. In September 2023, I embarked on a new chapter, diving into two fresh fields: Data Science and Renewable Energies. I hope to be seen as courageous, eager to learn, and committed to understanding all aspects of the energy sector. While I’m excited to explore new directions, geosciences remain close to my heart.
As a Data Scientist in R&D "Power" line, I contribute to the Company’s journey toward net zero by 2050, focusing on analytical projects that span Solar, Wind, Hybrid & Storage, and Distributed Energy Resources R&D Programs. My role within the Digital Solutions team involves applying Data Science and Machine Learning techniques to improve operational efficiency and address specific technical challenges in Renewable Energies. Key Projects & Responsibilities: ✓ PV Production Forecasting: Developed and deployed Machine Learning (ML) models for precise forecasting of PV production to address grid imbalances for both B2C and B2B clients in France and Belgium. ✓ Wind Production Forecasting: Built ML models for offshore wind production forecasting, contributing to TotalEnergies’ growing offshore wind portfolio and aiding in power delivery reliability. ✓ PV Soiling Modeling: Applied models to estimate soiling evolution over time, supporting site prospection and optimum cleaning strategy definition for existing and future sites, enhancing overall efficiency while minimizing financial loss. ✓ PV Installations Monitoring: Developed a deep learning anomaly detection model for large PV installations, utilizing drone imagery to detect issues such as hotspots and delamination, enabling proactive maintenance and operational continuity.
Worked within Reservoir Seismic Characterization & Geomodelling - Depth Prediction speciality team Led projects on behalf of TE Affiliates, Exploration and Customer Line teams to improve reserves estimation, reservoir understanding and support both producing and upcoming fields development plans, including infill wells proposal & drilling operations. Key Projects & Responsibilities: ✓ Velocity modeling for depth prediction: Venus (NA), North Field & Al-Shaheen (QA), Sepia (BR), Gindungo (AO) and Egina & Ubeta (NG) ✓ Depth modeling accounting hundreds of wells (vertical, slanted & horizontal) & Uncertainty Assessment (COHIBA): Greater Tyra (DK), Al-Shaheen (QA), Asab & Bu Hasa (UAE) ✓ Structural model & reservoir grid building (RM3) for Gindungo Deep (AO)
Worked as a Junior Geophysicist in a transverse environment with Geology, Reservoir Engineering and Subsurface, my role was to ensure the proper use and integration of the geophysical data in the 2G studies, led in both affiliate & HQ, as part of assets development. Key Projects & Responsibilities: ✓ Al Khalij (oil field, TotalEnergies operator): Delivery of development wells trajectory (SOR process) and drilling operations follow-up. ✓ Dolphin, North Field (gas field, TotalEnergies shareholder) - Reservoir Management Optimization Project (RMOP): Delivery of structural interpretation, seismic attributes analysis, including Spectral Decomposition, and pre-stack elastic inversion studies.
I was in charge of the geological and geophysical synthesis of post-salt Tertiary stratigraphy in Campos Basin, deep offshore Brazil. More specifically, my work consisted in describing the main sedimentary fairway systems in the basin and their evolution from Early Oligocene to recent times as well as setting some of the giant oil discoveries in a sedimentological context.
I was responsible for the geological and geophysical interpretation of the north-Magnus frontier domain, northern North Sea. The objective was to unveil potential prospectivity and prepare the United Kingdom Continental Shelf (UKCS) 28th Licensing Round applications.
I worked on the structural analysis of the Madagascar Ridge, southwest Indian ocean. My tasks ranged from Deep Sea Drilling Project (DSDP) well data analysis and seismic interpretation to magnetic & gravimetric survey data processing and interpretation.
In partnership with the Tahiti - Pamatai Geophysical Laboratory, I worked on the characterization of the connection between waves and seismic noise using in-situ data. The objective was to add value to the seismic noise data recorded, unused until then, to better constrain Météo-France wave modeling and elaborate routines to reduce the costs induced by observation stations.