Statistics – Applications
Scientific paper
Oct 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005esasp1290..202v&link_type=abstract
In: Microgravity applications programme: Successful teaming of science and industry. Edited by Andrew Wilson, coordination: Benn
Statistics
Applications
2
Physical Sciences, Oil Recovery
Scientific paper
Crude oils contain billions of components distributed in a surprisingly non-homogeneous way. When performing very costly drillings, oil companies need to deduce the overall state of the reservoir from the geological data. Improving current prediction capabilties is the focus of the Diffusion and Soret Coefficients of Crude Oils MAP team. The appraoch is to determine all the transport properties of crude oils by describing their transport processes. These include the Soret effect, the tiny separation of components induced by the geothermal gradient (about 30K/km). Theoretical predictive developments will optimise the return of measurements from the experiment aboard the Foton-M2 satellite and the SoDiUM experiment. Validation by studies of g-sensivity and the crucial role of asphaltenes are the most probable extensions of the studies.
Caltagirone Jean Paul
Daridon Jean-Luc
Galliéro Guillaume
Legros Jean Claude
Montel François
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