In spite of the steady quality increase of subsurface imaging methods, the identification of tectonic and stratigraphic structures often raises interpretation challenges due to uncertainties. The goal of this research is to capture these uncertainties by combining data and ancillary conceptual and regional knowledge. It also aims at putting more objectivity during structural interpretation by explicitly and quantitatively stating hypotheses.

We see this research as an essential component of geomodels because fractures, faults and folds exert a tremendous control on subsurface heterogeneities and often have a first order impact on flow, wave propagation and deformation in the underground.

Accounting for uncertainties in structural interpretation requires to increase the robustness and automation of structural modeling methods. It is also essential for the meaningfull integration of indirect subsurface data such as reservoir production curves.