Jan Dirk Jansen

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In this paper identifiable parameterizations are determined for models of flow in porous media as applied in the field of petroleum reservoir engineering. Starting from a large-scale, physics-based model parameterization with an extensive parameter space, the best identifiable reduced dimensional parameterization is constructed. This is achieved through the(More)
The characteristics of the rat epidydimal adipocyte beta-adrenoceptor have been examined using lipolysis and cyclic AMP accumulation in adipocytes as well as adenylate cyclase activity in fat cell membranes. The pA2 values corrected for binding to bovine serum albumin of the selective antagonists betaxolol (beta 1-selective) and ICI 118.551 (beta(More)
An adjoint formulation for the gradient-based optimization of oil–gas compositional reservoir simulation problems is presented. The method is implemented within an automatic differentiation-based compositional flow simulator (Stanford’s Automatic Differentiation-based General Purpose Research Simulator, AD-GPRS). The development of adjoint procedures for(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 lifecycle performance, measured in Net Present Value. However, in these studies the(More)
Careful, independent scientific reviews of issues of importance in mutagenesis and carcinogenesis evaluations have been made over the past seven years by a group of leading members of several environmental mutagen societies. The International Commission for Protection against Environmental Mutagens and Carcinogens (ICPEMC) supports five main committees(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 constantflux line source. The expression for the point source representation is based on(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)
Studies on dynamic real-time optimization (DRTO) 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)