Issue 45 of Science@ifpen
News in brief

Digital Rock Physics at IFPEN

Today, characterization of geological reservoirs, a long-standing theme in petroleum exploration, becomes a base of interest for a variety of applications, such as CO2 and hydrogen storage as well as geothermal energy. In recent years, the combined use of 3D microtomography (or micro-CT ) imaging and advanced simulation techniques has allowed the emergence of a digital approach to computing the petrophysical properties of reservoir rocks (Digital Rock Physics). This represents a real complement - and in some cases an alternative - to traditional laboratory measurements.
Issue 45 of Science@ifpen
News in brief

Numerical design based on the analysis of multi-scale porous material microstructures

The design of high-quality porous materials is a major challenge for the energy efficiency of industrial processes in the fields of catalysis and biocatalysis and separation and purification operations. For such applications, these materials derive their properties of interest from their specific microstructure, incorporating a large quantity of empty spaces that are organized and connected on a nanometric scale. IFPEN and Saint Gobain Research Provence (SGRP) joined forces to acquire a tool that will ultimately facilitate the development of porous materials optimized for given usages.
Issue 45 of Science@ifpen
News in brief

Acceleration of chemical kinetics calculations through Machine Learning methods

Numerical simulations are now widely employed in the industrial world to help design systems and predict complex phenomena. Reactive flow simulation, for example, is important for numerous applications, such as vehicle and aircraft propulsion and processes in the chemicals industry.
Individual page

Ani ANCIAUX SEDRAKIAN

Research engineer / Project manager
Positions currently available in the group: https://www.linkedin.com/company/ifp-energies-nouvelles/jobs/ She received her Ph.D. degree in computer science from the University of Pierre et Marie Curie
Issue 42 of Science@IFPEN
News in brief

Spectrometry and chemometrics supporting processes

As a result of the deterioration in the quality of crude oils and the tightening up of environmental standards, refiners are modifying their processes in order to meet the growing demand for light
Issue 41 of Science@IFPEN
News in brief

The contribution of image processing to catalyst performance optimization (HDR 2017)

My HDR research was aimed at optimizing catalyst performance using image processing , automating the analyses and improving the quality of the information extracted from data. The knowledge and tools
INRIA / IFPEN
News in brief

IFPEN/Inria partnership: digital technology at the heart of innovation

Digital technologies are playing an increasingly important role in solving industrial problems. IFPEN forged a partnership with Inria. Five years later, we look back over this fruitful partnership.
Individual page

Loïc SORBIER

Research Engineer
Loïc Sorbier is a research engineer in Physics graduated from ESPCI Paris. He obtained his PhD in materials science from université de Montpellier and possess accreditation to supervise research (HDR)
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Maxime MOREAUD

Deploying of fundamental research in Artificial Intelligence in R&I applications
Project leader, Researcher in applied deep learning
Maxime Moreaud is responsible for deploying fundamental research in Artificial Intelligence in R&I business applications, he is project manager for IFPEN's Scientific Division, and a researcher in
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Quang Huy TRAN

Research engineer in Scientific Computing
Quang Huy Tran graduated from Mines ParisTech and completed his doctoral thesis in Applied Mathematics at IFPEN and Rice University (Texas) before returning to IFPEN as a research engineer