Postdoctoral Fellow in Simulation and Geostatistics
I am a numerical geologist interested in better characterizing geological structures and processes based on partial information.
I acquired my core background during my master and doctoral projects, which focused on developing and implementing new stochastic simulation methods to model the subsurface for hydrogeological and petroleum applications. Since then, I have been expanding my background to new areas, in particular to using artificial intelligence and machine learning techniques to support decision making in geosciences.
Within Deep Earth Imaging, my research is part of the system conceptualisation research program.
- Diverse background mixing geosciences, numerical modeling, and programming
- Experience of developing new methods to gain insight on geological structures
- Strong modeling experience of the subsurface
- Programming abilities in C++, Python, R, and Matlab
MSc (Geosciences) University of Lorraine 2012
Rongier, G., Rude, C., Herring, T., & Pankratius, V. (2019). Generative Modeling of InSAR Interferograms. Earth and Space Science, 6(12), 2671-2683. https://doi.org/10.1029/2018EA000533
Rongier, G., & Pankratius, V. (2018). Computer‐Aided Exploration of the Martian Geology. Earth and Space Science, 5(8), 393-407. https://doi.org/10.1029/2018EA000406
Rongier, G., Collon, P., & Renard, P. (2017). Stochastic simulation of channelized sedimentary bodies using a constrained L-system. Computers & Geosciences, 105, 158-168. https://doi.org/10.1016/j.cageo.2017.05.006
Rongier, G., Collon, P., & Renard, P. (2017). A geostatistical approach to the simulation of stacked channels. Marine and Petroleum Geology, 82, 318-335. https://doi.org/10.1016/j.marpetgeo.2017.01.027
Rongier, G., Collon, P., Renard, P., Straubhaar, J., & Sausse, J. (2016). Comparing connected structures in ensemble of random fields. Advances in Water Resources, 96, 145-169. https://doi.org/10.1016/j.advwatres.2016.07.008
Rongier, G., & Collon, P. (2014). Conduits Karstiques en 3D : une méthode de simulation stochastique. Karstologia, 63, 58-60
Rongier, G., Collon, P., & Filipponi, M. (2014). Simulation of 3D karst conduits with an object-distance based method integrating geological knowledge. Geomorphology, 217, 152-164. https://doi.org/10.1016/j.geomorph.2014.04.024