GIG is a consortium focusing on statistical geophysical inversion hosted by Norwegian Computing Center. The Consortium shall develop new understanding, algorithms and prototype software for obtaining reservoir parameters from geophysical measurements such as seismic surveys.

CRAVA calculates elastic properties such as density, P- and, S-velocity from seismic amplitude cubes. Input data are amplitude cubes stacked at different angles.

Improved quantitative prediction of the spatial distributions of CO2 in subsurface storage.

PCUBE computes the probabilities for different lithology-fluid classes from seismic data and geological knowledge. The method use stochastic rock physics relations between elastic parameters and lithology-fluid classes.

We use Bayesian methodology to compute the probability for hydrocarbon presence based on the information in the controlled source electromagnetic (CSEM) data.