Neural Network-based Optimization of Solid-and Fluid Mechanical Simulations

The following project deals with the optimization of simulation parameters such as the injection location and pitch angle of polyurethane foaming simulations using artificial neural networks. The model's target is to predict quality variables based on the process parameters and the geometry features. Through several evaluations of the model,...

Modelling the effect of oil on foam for EOR: Local equilibrium behavior

Enhance Oil Recovery (EOR) techniques are theoretically very promising but in real life suffer the effects of many physical complications in the subsurface which are yet to be understood in detail. One such complication is the detrimental effect of oil in foam in foam EOR. Current-generation reservoir simulators represent these effects in an...

Modeling of miscible CO2 foam displacements with oil

Fractional-flow theory provides key insights into complex foam IOR displacements and acts as a benchmark for foam simulators. In some cases with mobile oil present the process can be represented as a two-phase displacement. We examine two such cases. A first-contact miscible gas flood with foam injection includes a chemical shock defining the...