Per Pettersson har en doktorgrad i anvendt matematikk fra Stanford University og numerisk analyse fra Uppsala Universitet, begge finansiert av KAUST (King Abdullah University of Science and Technology). Pettersson driver med utvikling, analyse og implementasjon av matematiske metoder for usikkerhetskvantifisering, f.eks. polynomkaos, akselererte Monte Carlo-metoder og simulering av ekstreme hendelser. Anvendelsesområder inkluderer CO2-lagring, CFD, simulering av flom og forbrenning. Han har vært ansatt ved Uni Research og deretter NORCE siden 2014.
Per Pettersson
Seniorforsker
pepe@norceresearch.no
+47 56 10 71 34
Nygårdsgaten 112, 5008 Bergen, Norway
Divisjon
Energi og Teknologi
Forskergrupper
Computational Geosciences and Modelling
Mer info om Per
Last ned pressebildeProsjekter
Publikasjoner
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Vitenskapelig artikkelSampling-Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice– Water Resources Research 2023
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KonferanseforedragUpdated workflow for fault risk assessment and application to Vette Fault Zone, Horda Platform, offshore Norway– 16th International Conference on Greenhouse Gas Control Technologies,GHGT-16 2022
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Vitenskapelig artikkelAdaptive stratified sampling for nonsmooth problems– International Journal for Uncertainty Quantification 2022
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KonferanseforedragPractical field-scale simulation approaches for quantification of fault-related leakage under uncertainty– 16th Greenhouse Gas Control Technologies Conference 2022
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Vitenskapelig artikkelDynamic estimates of extreme-case CO2 storage capacity for basin-scale heterogeneous systems under geological uncertainty– International Journal of Greenhouse Gas Control 2022
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KonferanseforedragAdaptive stratified sampling for nonsmooth problems– 13th International Conference on Monte Carlo Methods and Applications (MCM21) 2021
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Vitenskapelig artikkelAdaptive stratified sampling for non-smooth problems– arXiv.org 2021
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Vitenskapelig artikkelIntrusive generalized polynomial chaos with asynchronous time integration for the solution of the unsteady Navier–Stokes equations– Computers & Fluids 2021
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KonferanseforedragNumerical simulations of biofilms in core samples: MEOR and MICP– InterPore2020 2020
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Vitenskapelig artikkelMathematical modeling, laboratory experiments, and sensitivity analysis of bioplug technology at Darcy scale– SPE Journal 2020
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Vitenskapelig artikkelUncertainty quantification of combustion noise by generalized polynomial chaos and state-space models– Combustion and Flame 2020
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Vitenskapelig artikkelProbabilistic Godunov-type hydrodynamic modelling under multiple uncertainties: robust wavelet-based formulations– Advances in Water Resources 2020
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KonferanseforedragMathematical modelling of the bio-plug technology: laboratory experiments, upscaling, and numerical simulations– SIAM Conference on Mathematical and Computational Issues in the Geosciences 2019
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Vitenskapelig artikkelLevel set methods for stochastic discontinuity detection in nonlinear problems– Journal of Computational Physics 2019
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Vitenskapelig kapittelGeneralized chaos expansion of state space models for uncertainty quantification in thermoacoustics– 2018
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Vitenskapelig artikkelA pore-scale model for permeable biofilm: Numerical simulations and laboratory experiments– Transport in Porous Media 2018
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KonferanseforedragStochastic Galerkin Methods with Hyperspherical Transformation for Vertical Equilibrium CO2 Migration Models– SIAM UQ 2018
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KonferanseforedragData-driven Uncertainty Quantification for Transport Problems in Heterogeneous Porous Media– SIAM Conference on Uncertainty Quantification 2018
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KonferanseforedragData-driven uncertainty quantification for transport problems in structured porous media– Seminar of Numerical Analysis, EPFL 2017
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KonferanseforedragData-driven uncertainty quantification for transport problems in structured porous media– Seminar of Numerical Analysis 2017
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KonferanseforedragStorage feasibility in North Sea aquifers– 9th International Conference on Porous Media 2017
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KonferanseforedragLevel set methods for stochastic discontinuity detection in nonlinear wave propagation problems– European Conference on Numerical Mathematics and Advanced Applications (ENUMATH) 2017
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KonferanseforedragA Dynamic Locally-Reduced-Order-Basis Approach for Stochastic Galerkin Formulations of Nonlinear Hyperbolic Problems– ENUMATH 2017 2017
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KonferanseforedragStochastic Galerkin Methods with Hyperspherical Transformation for Vertical Equilibrium CO2 Migration Models– SIAM Mathematical and Computational Issues in the Geosciences 2017
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KonferanseforedragA Stable and Efficient Domain Decomposition Method for Maxwell’s Equations with Uncertainty– International Conference on Computational Methods for Coupled Problems in Science and Engineering 2017
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KonferanseforedragData-driven uncertainty quantification for transport problems in structured porous media– SIAM Conference on Mathematical and Computational Issues in the Geosciences 2017
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KonferanseforedragLevel Set Methods for Stochastic Discontinuity Detection in Nonlinear Wave Propagation Problems– 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering 2017
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KonferanseforedragUncertain transport problems in large-scale carbon storage: stochastic basis reduction and robust numerical discretization– Seminar in Computational Mathematics and Mechanics 2016
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ForskningsrapportSimulation recommendations for CO2 storage, Report no UC 44/2016– Uni Research CIPR 2016
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ForskningsrapportFinal report LCSANS, Report no UC 43/2016– Uni Research CIPR 2016
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ForskningsrapportSkade Case Study. Technical Report no. UC45/2016.– Uni Research 2016
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KonferanseforedragUncertain CO2 Transport in Large-Scale Carbon Capture and Storage– 2016 SIAM Conference on Uncertainty Quantification 2016
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Vitenskapelig artikkelStochastic Galerkin framework with locally reduced bases for nonlinear two-phase transport in heterogeneous formations– Computer Methods in Applied Mechanics and Engineering 2016
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Vitenskapelig artikkelA well-posed and stable stochastic Galerkin formulation of the incompressible Navier-Stokes equations with random data– Journal of Computational Physics 2016
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KonferanseforedragIncorporating Geological Uncertainty in Error Control for Linear Solvers– SPE Reservoir Simulation Symposium, 23-25 February 2015, Houston, Texas, USA 2015
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Vitenskapelig artikkelStochastic Galerkin Formulations for CO2 Transport in Aquifers: Numerical Solutions with Uncertain Material Properties– Transport in Porous Media 2015
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KonferanseforedragStochastic Galerkin Formulations of Conservation Laws: Challenges in the Generalization of Deterministic Solvers to New Systems of PDEs– SIAM Conference on Analysis of Partial Differential Equations 2015
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KonferanseforedragStochastic Galerkin Methods in CO2 Storage– Computational mechanics seminar at the Center for Aerospace Structures, University of Colorado, Boulder 2015
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KonferanseforedragStochastic Galerkin Methods and the Problem of High Stochastic Dimensionality in CO2 Storage– 2015 SIAM Conference on Mathematical & Computational Issues in the Geosciences 2015
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Vitenskapelig monografiPolynomial Chaos Methods for Hyperbolic Partial Differential Equations Numerical Techniques for Fluid Dynamics Problems in the Presence of Uncertainties– Springer 2015
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Vitenskapelig kapittelStochastic Galerkin Method for the Buckley-Leverett Problem in Heterogeneous Formations– 2014
