|[ Information ] [ Publications ] [Signal/Image processing codes] [ Signal & Image Links ]|
|[ Main blog: A fortunate hive ] [ Blog: Information CLAde ] [ Personal links ]|
|[ SIVA Conferences ] [ Other conference links ] [ Journal rankings ]|
|[ Tutorial on 2D wavelets ] [ WITS: Where is the starlet? ]|
If you cannot find anything more, look for something else (Bridget Fountain)
Networks: Academia.edu - ACM - ArNetMiner - arXiv - Blog - DBLP - Github - Google+ - HAL - Linked In - Mastodon - Mathematics Genealogy - Mendeley - Microsoft Academic - ORCID - PublicationsList - Publons/ResearcherID - Quora - ResearchGate - Scholar - Twitter - Viadeo -
Manipulation of large data volumes is becoming a concern in the field of simulation. In reservoir simulation, grids are complex structures composed of heterogeneous objects, with a potentially large number of cells. HexaShrink is a perfectly reversible multiscale decomposition tool based on 3D wavelet transformation, dedicated to structured hexahedral meshes. It provides a representation of mesh geometry and properties at different resolutions, coherently preserving discontinuities such as fault networks. This lossless compression method was initially designed for storage and transfer. Here we evaluate its suitability in the context of two-phase flow simulations. Initial results demonstrate comparable impacts of low-resolution grids on injected water. This suggests that embedding low resolution meshes can serve accelerated appromixate simulation results with little overhead, in a consistent upscaling and upgriding fashion.
IFPEN's Scientific Board awarded the 2018 Yves Chauvin prize to Aurélie Pirayre for her thesis entitled "Reconstruction and Clustering with Graph optimization and Priors on Gene networks and Images". Aurélie Pirayre received her award at the ceremony held at IFPEN's Rueil-Malmaison site on 19 November 2018. Her work represents an advance in the adaptation of image processing methods for the purposes of representing biological data in graph form. Directed by Jean-Christophe Pesquet (Université Paris-Est Marne-la-Vallée, now CentraleSupélec), her research was supervised by Frédérique Bidard-Michelot and Laurent Duval at IFPEN.