Jan Dirk Jansen

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  • Proefschrift Ter, O H Bosgra, J D Jansen, Rector Magnificus, P M J Van Den Hof, Y Yortsos +4 others
  • 2008
Approach Petroleum Production " (ISAPP) programme. The knowledge center is a long-term cooperation of TNO, Shell and Delft University of Technology to increase hydrocarbon recovery through the application of innovative reservoir development and management technologies. Financial support has also been provided through the " Virtual Asset Learning and(More)
Description: This workshop will assess the current state-of-the-art and identify needs and opportunities for future research at the intersection of large-scale inverse problems and uncertainty quantification. It will bring together and cross-fertilize the perspectives of researchers in the areas of inverse problems and data assimilation, statistics,(More)
Over the past few years, more and more systems and control concepts have been applied in reservoir engineering, such as optimal control, Kalman filtering, and model reduction. The success of these applications is determined by the controllability, observ-ability, and identifiability properties of the reservoir at hand. The first contribution of this paper(More)
In oil production waterflooding is a popular recovery technology, which involves the injection of water into an oil reservoir. Studies on model-based dynamic optimization of waterflooding strategies have demonstrated that there is a significant potential to increase life-cycle performance, measured in Net Present Value. However, in these studies the(More)
The past ten years have seen an increasing application of systems and control theory to porous media flow. This involves in particular the use of optimization, parameter identification, and model reduction techniques in attempts to increase the amount of oil or gas that can be recovered from subsurface hydrocarbon reservoirs. Other applications involve the(More)
— Studies on dynamic real-time optimization (D-RTO) of waterflooding strategies in petroleum reservoirs have demonstrated that there exists a large potential to improve economic performance in oil recovery. Unfortunately, the used large-scale, nonlinear, physics-based reservoir models suffer from vast parametric uncertainty and generally poor short-term(More)
This paper concerns the computation of near-well flow in numerical reservoir simulation with unstructured grids. In particular, it uses spherical trigonometry to derive analytical expressions for the flow towards a well modeled as either a number of point sources or a constant-flux line source. The expression for the point source representation is based on(More)
This paper describes a recently introduced methodology to perform value of information (VOI) analysis within a closed-loop reservoir management (CLRM) framework, and adds a first step to improve the computational efficiency of the procedure. CLRM is a combination of model-based optimization and model-parameter identification applied to large-scale models of(More)
In this paper, a novel framework for reduced order modeling in reservoir engineering is introduced, where tensor decompositions and representations of flow profiles are used to characterize empirical features of flow simulations. The concept of classical Galerkin projection is extended to perform projections of flow equations onto empirical tensor(More)