1st week

Arnold Heemink (TU Delft) – An introduction in Inverse Modelling and Data Assimilation – Basic notions

Geir Evensen (NORCE) – Ensemble Kalman Filter – From basics to advanced technologies and improvements

Peter Jan van Leeuwen – Particle filter and its variants

Alberto Carrassi (NERSC) – Dynamical systems at glance – data assimilation for chaotic systems

Martin Verlaan (TU Delft, Deltares) & Nils van Velzen (Vortech) – The Open DA paradigm – theory and the toolbox (V&V)

Patrick Raanes (NORCE) – A python framework for data assimilation and inverse modelling

Remus Hanea (UiS, Equinor) & Andreas Stordal (NORCE) – Ensemble based Assisted History Matching in Modern Reservoir Engineering – Introduction and in-depth approaches (H&S)

2nd week

Kees Lemmens (TU Delft) – Scientific Programming using C and Python; Parallel Programming using MPI; and GPU Programming using Cuda.

Laurent Bertino (NERSC) & Francois Counillon (NERSC) – Oceanography and Environmental Applications (C&B)

Remus Hanea (UiS, Equinor) & Andreas Stordal (NORCE) – Ensemble based Assisted History Matching in Modern Reservoir Engineering – Introduction and in-depth approaches (H&S)

Reidar Bratvold (UiS) – Value of Information

Matteo Ravasi (Equinor) – Seismic inverse modelling in a nutshell

Anca Hanea (CEBRA) & Mark Burgman (Imperial College) – Structured expert judgement for decision making under uncertainty (H&B)

Ivan Garcia (Booking.com) – Big data

Femke Vossepoel (TU Delft) – Geomechanical applications of data assimilation