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Research
Geostatistics
Modeling of spatial distribution of rock and fluid properties in the subsurface. Stochastic simulations and uncertainty quantification
Inverse modeling
Estimation of rock and fluid properties from geophysical data (seismic, gravity and electromagnetic data). Applications in near surface geophysics, hydrology and petroleum geophysics.
Fluid flow simulation
Development of numerical methods for fluid flow simulations in porous media.
Data assimilation
Update of time-lapse models by assimilating new datasets (well measurements or seismic data).
Stochastic optimization
Development of optimization methods for inverse problems: genetic algorithms, simulated annealing and neural networks.
References: “from Grana and Della Rossa, Geophysics, 2010” and “from Grana et al., International Congress of Geostatistics, 2012”).
Shell 3-D Visualization Laboratory
Augmented Reality Sandbox (Geology Museum, Dr. Laura Vietti)
A real-time integrated augmented reality system that uses a real sandbox to create topography models, elevation color maps, topographic contour lines, and simulated water flow based on Saint-Venant shallow water equations.
See also: http://idav.ucdavis.edu/~okreylos/ResDev/SARndbox/