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Olav Møyner

Research Scientist

Olav Møyner

Research Scientist

Olav Møyner
Phone: +47 990 24 949
Email:
Department: Mathematics and Cybernetics
Office: Oslo

Publications and responsibilities

Publication
https://www.sintef.no/en/publications/publication/1871164/

Multiscale methods for solving strongly heterogenous systems in reservoirs have a long history from the early ideas used on incompressible flow to the newly released version in commercial simulation. Much effort has been put into making the MsFV method work for fully unstructured multiphase problems...

Authors Halvor Møll Nilsen Moncorgé Arthur Kai Bao Olav Møyner Knut-Andreas Lie Andre Brodtkorb
Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/1849924/

Data-driven models are an attractive alternative to reservoir simulation in workflows where full field-scale simulations may be computationally prohibitive [3,4]. One example is the forecasting and schedule optimization of waterflooding scenarios, where numerous function evaluations that correspond...

Year 2020
Type Academic chapter/article/Conference paper
Publication
https://www.sintef.no/en/publications/publication/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/1803030/

We discuss how to introduce local time-step refinements in a sequential implicit method for multiphase flow in porous media. Our approach relies heavily on causality-based optimal ordering, which implies that cells can be ordered according to total fluxes after the pressure field has been computed...

Authors Gaute Linga Olav Møyner Halvor Møll Nilsen Moncorgé Arthur Knut-Andreas Lie
Year 2020
Type Academic article