Total has joined this center of excellence in order to deploy its R&D strategy in digital simulation and data-intensive computing technologies. This process will be supported by CERFACS’ world renowned, multidisciplinary team of around one hundred physicists, applied mathematicians, numerical analysts and software engineers1. In this way, the investment has further strengthened Total’s position as a global leader in scientific computing power. This new advance is perfectly aligned with the group’s recent purchase of a high-performance supercomputer, installed at the Scientific and Technical Center in Pau.
Like the other CERFACS’ shareholders, Total has to meet the challenge of preparing for the arrival of the next generation of supercomputers, capable of sustaining multiple petaflops2. Digital simulation systems help to optimize the speed of knowledge acquisition by processing experimental data faster and more efficiently. This opens the way to increasing the number of experiments, so that the most promising ones can be more easily identified.
Digital simulation plays a critically important role in all of Total’s businesses, especially in R&D. In the Upstream segment, it is used in geoscientific computation, particularly to process seismic imaging data sets and to digitally visualize oil and gas reservoirs to enhance their definition. In the Downstream, it is used to optimize process units and utilities, such as furnace combustion, while in the specialty chemicals business, it expands and improves the understanding of how new elastomers and composites will behave.
1 CERFACS has focused its cross-functional research programs on massively parallel algorithms, data assimilation, model coupling and their corresponding applications in such areas as fluid dynamics, combustion, climate and the environment, electromagnetism and the earth sciences.
2Flops (floating point operations per second) is a measure of computing speed. A petaflops represents a quadrillion (1015) flops, requiring around 500,000 high-performance processors.
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