Surrogate-assisted inversion for large-scale history matching: Comparative study between projection-based reduced-order modeling and deep neural network

History matching can play a key role in improving geological characterization and reducing the uncertainty of reservoir model predictions. Application of reservoir history matching is restricted by the huge computational cost by amongst others the many runs of the full model. Surrogate models with a reduced complexity are therefore used to...

Non-intrusive subdomain POD-TPWL for reservoir history matching

Postbuckling analysis of variable stiffness composite plates using a finite element-based perturbation method

Modern fiber placement machines allow laminates with spatially varying stiffness properties to be manufactured. In earlier research, the authors optimized variable stiffness plates for maximum buckling load, demonstrating significant improvements in load-carrying capacity. In aerospace applications, panel structures are often permitted to enter...

Efficient extraction of thin-film thermal parameters from numerical models via parametric model order reduction

In this paper we present a novel highly efficient approach to determine material properties from measurement results. We apply our method to thermal properties of thin-film multilayers with three different materials, amorphous silicon, silicon nitride and silicon oxide. The individual material properties are identified by solving an optimization...

Reduced order modeling of an industrial feeder model

Models of glæs furnaces are described by a set of nonlinear partial differential equâtior¡s which govern the mass, momentum and energy balances and a numberof non-linear functions of the independent scala¡s which describe the dependent variables like viscosities and densities in a fluid. In lhis paper we consider the problem 1o simulate such a...