Doctoral theses

In order to gain more insight into physical processes, IFPEN develops or uses a large number of numerical simulators. These numerical models are useful to reproduce phenomena in specific conditions and thus to predict and explore the system response under various conditions.

This project is conducted thanks to a collaboration between two laboratories from University of Lorraine (LCPME) and IFPEN. It aims at better quantifying biocide efficiency for geothermal application.

For several years now, plans to deploy hydrogen to decarbonize the economy have been multiplying around the world.

Wind farm flows are complex and difficult to predict, although their understanding is crucial for proper wind farm design and layout optimization. During the design phase, so-called “engineering” flow models, whose purpose is to provide an analytical representation of wind turbine wakes, are used to estimate wind farm power production.

Numerical simulation is a strategic tool since it is indispensable for research and many industrial applications that require multiphase flow resolution.

The purpose of this doctoral project is to broaden the understanding of the conditions for a massive deployment of emerging CDR technologies in a market environment.

Les méthodes d'apprentissage basées sur les architectures neuronales permettent de résoudre des problèmes de classification et de segmentation avec des performances pour l'instant non égalées dans le domaine du traitement d'images et de la vision par ordinateur.

IFPEN and the Utrecht University call for qualified candidates for a PhD project, entitled: “Fluid-Flow and Fluid-Rock Interactions during the Dinarides collisional orogenesis: Implications on geo-resources and sustainable development.” This project is based on the previously acquired field-knowledge and numerical models, which will be the start

La thèse vise à développer un jumeau numérique d’un séparateur liquide-inclusions (polluants) par flottation dans l’objectif d’optimiser les procédés de flottation industriels pour répondre aux enjeux liés au traitement des eaux, qui apparaît comme un besoin primordial dans un contexte de changement climatique.

Near Infrared spectroscopy (NIR) combined with chemometrics has been used for years in various fields to predict properties, quantify species, classify samples, etc. At IFPEN, this approach is daily used in the laboratory and on-line on pilot plant units to predict properties of interest of petroleum cuts.

In CCS (CO2 capture and storage) CO2 storage in depleted petroleum reservoirs is envisaged. Hydrates CO2 crystals formation may lead  to important injectivity losses and even to a complete plugging of the injector well and hydrates risk is identified as crucial for the CO2 storage operation.