Louison Laruelle
Haus
A 70,
Raum
221 (Büro)
Telegrafenberg
14473
Potsdam
Funktion und Aufgaben:
Doctoral Researcher in Section 2.6, Seismic Hazard and Risk dynamics3D geomechanical-numerical modeling of the contemporary stress state of the subsurface on a reservoir scale. The focus is on calibrating models using borehole log data and integrity tests to explore the minimum data needed for robust stress prediction, crucial for safe subsurface usage. This work is part of the SpannEnD II project, funded by the BGE, in collaboration with TU Darmstadt and the Karlsruhe Institute of Technology.
Karriere:
- March 2023, December 2023: Master Thesis, GFZ Potsdam, Germany
Section 4.3, Climate Dynamics and Landscape evolution
Grain-size measurements and statistic prediction of particle size distribution from elemental contents obtained by XRF-scanning, in order to obtain a first order reconstruction of the flow of the Nile River during the African Humid Period. - May - July 2022: Research Internship, Van der Waals-Zeeman Institute, University of Amsterdam, Netherlands
Experiments on the breakup of a thread of a polymer solution, and theoretical analysis of the problem,
Werdegang / Ausbildung:
- 2022- 2023: École Normale Supérieure - PSL, Paris
Master degree of Research in Earth, Environmental and Planetary Sciences - 2019 - 2022: ESPCI Paris - PSL, Paris
Engineering degree, Specialization in mechanics and fluid mechanics. - 2017- 2019: Lycée Fénelon, Paris
Pre-engineering undergraduate studies
Projekte:
SpannEnD II Project:
The SpannEnD II project (2022-2026) focuses on improving and refining Germany's geomechanical-numerical 3D stress models, crucial for nuclear waste disposal in deep rock formations. These models, calibrated with point-measured stress data, predict stress fields and the reactivation potential of faults. The project aims to enhance model calibration by expanding the stress database and developing sub-modelling techniques that link regional and site-specific models. Additionally, it seeks to improve in-situ stress measurement procedures and devise intelligent sampling strategies for future drilling programs to minimize uncertainties in stress predictions.