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Øystein Strengehagen Klemetsdal

Research Scientist

Øystein Strengehagen Klemetsdal

Research Scientist

Øystein Strengehagen Klemetsdal
Phone: +47 984 38 639
Email:
Department: Mathematics and Cybernetics
Office: Oslo

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/?pubid=1776208

We present a robust and flexible sequential solution approach in which the flow equation is solved on the original grid, whereas the transport equations are solved with a new dynamic coarsening method that adapts the grid resolution locally to reduce the number of cells as much as possible. The...

Year 2020
Type Academic article
Publication
https://www.sintef.no/en/publications/publication/?pubid=1815343

In this work, we review a set of consistent discretizations for second-order elliptic equations, and compare and contrast them with respect to accuracy, monotonicity, and factors affecting their computational cost (degrees of freedom, sparsity, and condition numbers). Our comparisons include the...

Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/?pubid=1831076

The Monte Carlo (MC) method is an appealing candidate for uncertainty quantification in reservoir simulation for three reasons: (i) It is the preferred approach for systematic reduction in variance for cases with high-dimensional uncertainty with a strongly nonlinear effect (robustness); (ii) it is...

Year 2020
Type Academic lecture
Publication
https://www.sintef.no/en/publications/publication/?pubid=1831073

Thermal energy from medium to high-enthalpy aquifers is an appealing energy resource: it is renewable, always on, and, at least in principle, available anywhere on the planet. Moreover, and perhaps equally important, aquifers are excellent candidates for flexible large-scale energy storage. This is...

Year 2020
Type Academic lecture
Publication
https://www.sintef.no/en/publications/publication/?pubid=1710251

The fully implicit method is the most commonly used approach to solve black-oil problems in reservoir simulation. The method requires repeated linearization of large nonlinear systems and produces ill-conditioned linear systems. We present a strategy to reduce computational time that relies on two...

Publication
https://www.sintef.no/en/publications/publication/?pubid=1680731

The interplay of multiphase flow effects and PVT behavior encountered in reservoir simulations often gives strongly coupled nonlinear systems that are challenging to solve numerically. In a sequentially implicit method, many of the essential nonlinearities are associated with the transport equation...

Year 2019
Type Academic article