Øystein Klemetsdal

Publications

Below is a list of my publications. Many of them are open access , and I try to add preprints when possible.

In journals

14F. Watson, Ø. Klemetsdal, K.O. Lye (2025)
Multifidelity Monte Carlo method for rapid uncertainty quantification in CO2 storage applications
Comput Geosci 29, 32 (2025).
DOI: 10.1007/s10596-025-10372-8. SharedIt: https://rdcu.be/eyBOZ
13K.-A. Lie, O. Møyner, Ø. Klemetsdal (2025)
Accelerating Nonlinear Convergence in Reservoir Simulation by Adaptive Relaxation and Nonlinear Domain-Decomposition Preconditioning
SPE J.
DOI: 10.2118/212199-PA
12Ø. Klemetsdal, O. Andersen S. Krogstad, and H. M. Nilsen, E. Bastesen (2023)
Modelling and optimization of shallow underground thermal energy storage
Geoenergy. 1, (1)
DOI: 10.1144/geoenergy2023-005
11O. Møyner, A.F., Rasmussen, Ø. Klemetsdal,  H. M. Nilsen, A. Moncorgé, K.-A. Lie (2023 )
Nonlinear domain-decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow
Comput. Geosci.
DOI: 10.1007/s10596-023-10215-4. SharedIt: https://rdcu.be/diqvn
10E. Ahmed, Ø. Klemetsdal, X. Raynaud, O. Møyner, H. M. Nilsen. (2022)
Adaptive timestepping, linearization, and a posteriori error control for multiphase flow of immiscible fluids in porous media with wells
SPE J.
DOI: 10.2118/203974-PA
9Ø. Klemetsdal, A. Moncorgé, H. M. Nilsen, O. Møyner, K.-A. Lie. (2022)
An adaptive sequential fully implicit domain-decomposition solver
SPE J. 27, (01), 566–578
DOI: 10.2118/203991-PA
8Ø. Klemetsdal, O. Møyner, A. Moncorgé, H. M. Nilsen, K.-A. Lie. (2022)
High-resolution compositional reservoir simulation with dynamic coarsening and local timestepping for unstructured grids
SPE J. 26, (06), 4157-4173
DOI: 10.2118/203982-PA
7Ø. Klemetsdal, A. Moncorgé, O. Møyner, K.-A. Lie. (2022 )
A numerical study of the additive Schwarz preconditioned exact Newton method (ASPEN) as a nonlinear preconditioner for immiscible and compositional porous media flow
Comput. Geosci. 26, 1045–1063
DOI: 10.1007/s10596-021-10090-x
6Ø. Klemetsdal, K.-A. Lie. (2020 )
Dynamic coarsening and local reordered nonlinear solvers for simulating transport in porous media
SPE J. 25, 2021–2040
DOI: 10.2118/201089-PA
5M. Collignon, Ø. Klemetsdal, O. Møyner, M. Alcanié, A. P. Rinaldi, H. M. Nilsen, M. Lupi. (2020)
Evaluating thermal losses and storage capacity in high-temperature aquifer thermal energy storage (HT-ATES) systems with well operating limits: insights from a study-case in the Greater Geneva Basin, Switzerland
Geothermics. 85, 101773
DOI: 10.1016/j.geothermics.2019.101773
4Ø. Klemetsdal, A. F. Rasmussen, O. Møyner, K.-A. Lie. (2020)
Efficient reordered nonlinear Gauss–Seidel solvers with higher order for black-oil models
Comput. Geosci. 24, 593–607
DOI: 10.1007/s10596-019-09844-5. SharedIt: https://rdcu.be/c7Aoo
3Ø. Klemetsdal, O. Møyner, K.-A. Lie. (2020)
Accelerating multiscale simulation of complex geomodels by use of dynamically adapted basis functions
Comput. Geosci. 24, 459–476
DOI: 10.1007/s10596-019-9827-z. SharedIt: https://rdcu.be/c7AoQ
2Ø. Klemetsdal, O. Møyner, K.-A. Lie. (2019 )
Robust nonlinear Newton solver with adaptive interface-localized trust regions
SPE J. 24, 1576–1594
DOI: 10.2118/195682-PA
1R. L. Berge, Ø. Klemetsdal, K.-A. Lie. (2019)
Unstructured Voronoi grids conforming to lower dimensional objects
Comput. Geosci. 23, 169–188
DOI: 10.1007/s10596-018-9790-0. SharedIt: https://rdcu.be/c7Ao0

In proceedings

24Ø. Klemetsdal, O. Andersen, O. Møyner
Fimbul.jl – fast, flexible, robust, and differentiable geothermal energy simulation in Julia
Sixth EAGE Global Energy Transition Conference & Exhibition (GET 2025), October 27-31 2025, Rotterdam, The Netherlands
DOI: 10.3997/2214-4609.202521164
23D, Urozayev, F. Watson, A, Ghaderi, B. Dupuy, K. O. Lye, Ø. Klemetsdal and P. Eliasson
CO2 monitoring design using Value-of-Information analysis with applications to the Sleipner project
17th Greenhouse Gas Control Technologies Conference (GHGT-17), 20-24 October 2024
DOI: 10.2139/ssrn.5061990
22S. Krishnamurthy, S. Cloete, G. Mondino. F. Watson, Ø. Klemetsdal, E.-Roxana Popescu, J. Morud, P. Llewellyn, V Pugnet, R. Blom
Marrying Commercial Sorbents to the Optimum Temperature Swing Adsorption (TSA) Cycles Through Process Simulations and Techno-Economic Assessment
17th Greenhouse Gas Control Technologies Conference (GHGT-17), 20-24 October 2024
DOI: 10.2139/ssrn.5032875
21Ø. Klemetsdal, O. Andersen (2024)
Proxy models for rapid simulation of underground thermal energy storage
Fifth EAGE Global Energy Transition Conference & Exhibition (GET 2024), 4-7 November 2024, Rotterdam, The Netherlands
DOI: 10.3997/2214-4609.202421075, Open access:
20K.-A. Lie, O. Moyner, Ø. Klemetsdal, B. Skaflestad, A. Moncorgé and V. Kippe (2024)
Enhancing performance of complex reservoir models via convergence monitors
European Conference on the Mathematics of Geological Reservoirs (ECMOR 2024), 2-5 Sep 2024
DOI: 10.3997/2214-4609.202437057
19F. Watson, Ø. Klemetsdal, K. O. Lye (2024)
Multifidelity multilevel Monte Carlo method for rapid uncertainty quantification in CO2 storage applications
European Conference on the Mathematics of Geological Reservoirs (ECMOR 2024), 2-5 Sep 2024
DOI: 10.3997/2214-4609.202437112
17A. Minakov, Ø. Klemetsdal, M. Collignon, C. Gaina, I. Panea, M. Neukirch (2024)
Basin-scale modeling of the Baia Mare geothermal and ore-forming system
85th EAGE Annual Conference & Exhibition, June 2024
DOI: 10.3997/2214-4609.202410836
16O. Andersen, Ø. Klemetsdal (2024)
Conceptualizing, simulating and optimizing the integrated operation of a multi-component UTES system
85th EAGE Annual Conference & Exhibition, June 2024
DOI: 10.3997/2214-4609.2024101335
15S. Krogstad, Ø. Klemetsdal, K.-A. Lie (2023)
Efficient adaptation and calibration of adjoint-based reduced-order coarse-grid network models
SPE Reservoir Simulation Conference (SPE RSC 2023), March 2023
DOI: 10.2118/212207-MS
14K.-A. Lie, O. Møyner, Ø. Klemetsdal (2023)
An adaptive Newton–ASPEN solver for complex reservoir models
SPE Reservoir Simulation Conference (SPE RSC 2023), Mar 2023
DOI: 10.2118/212199-MS
13H. Liu, X. Liao, K-.A. Lie, Ø. Klemetsdal, K. Bao, X. Zhao, A. Johansson, X. Raynaud (2023)
An integrated modeling framework for simulating complex transient flow in fractured reservoirs with 3D high-quality grids
SPE Reservoir Simulation Conference (SPE RSC 2023), Mar 2023.
DOI: 10.2118/212171-MS
12F. Watson, H. M. Nilsen, Ø. Klemetsdal, S. Krishnamurthy, K. O. Lye. (2022 )
Efficient numerical simulation of vacuum swing adsorption using automatic differentiation
Proceedings of the 16th Greenhouse Gas Control Technologies Conference (GHGT-16), 23-24 Oct 2022
DOI: 10.2139/ssrn.428568
11O. Møyner, A. Rasmussen, Ø. Klemetsdal, H. M. Nilsen, A. Moncorgé, K. Lie. (2022)
Nonlinear domain decomposition preconditioning for robust and efficient field-scale simulation of subsurface flow
European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022), 5-7 Sep 2022
DOI: 10.3997/2214-4609.202244108
10Ø. Klemetsdal, H. M. Nilsen, S. Krogstad, O. Andersen, E. Bastesen. (2022)
Modeling and optimization of shallow geothermal heat storage
European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022), 5-7 Sep 2022
DOI: 10.3997/2214-4609.202244109
9E. Ahmed, Ø. Klemetsdal, X. Raynaud, O. Møyner, H. M. Nilsen. (2021)
Adaptive time stepping, linearization and a posteriori error control for multiphase flow with wells
SPE Reservoir Simulation Conference (SPE RSC 2021), On-Demand, Oct 2021
DOI: 10.2118/203974-MS
8A.-A. Grimstad, Ø. Klemetsdal. (2021 )
Efficiency of CO2 foam mobility control with heterogeneous reservoir properties
Short Papers from the 11th International Trondheim CCS Conference (TCCS–11). 22–23 Jun 2021
URL: https://hdl.handle.net/11250/2786889
7Ø. Klemetsdal, A. Moncorgé, O. Moyner, K.-A. Lie. (2020)
Additive Schwarz preconditioned exact Newton method as a nonlinear preconditioner for multiphase porous media flow
European Conference on the Mathematics of Oil Recovery (ECMOR XVII), Sep 2020
DOI: 10.3997/2214-4609.202035050
6Ø. Klemetsdal, O. Møyner, K.-A. Lie. (2019)
Implicit high-resolution compositional simulation with optimal ordering of unknowns and adaptive spatial refinement
SPE Reservoir Simulation Conference (SPE RSC 2019), Apr 2019
DOI: 10.2118/193934-MS
5A.-A. Grimstad, P. E. S. Bergmo, H. M. Nilsen, Ø. Klemetsdal. (2018 )
CO2 storage with mobility control
14th Greenhouse Gas Control Technologies Conference (GHGT-14), 21-26 Oct 2018
DOI: 10.2139/ssrn.3365966. URL: https://ssrn.com/abstract=3365966
4Ø. Klemetsdal, O Møyner, K.-A. Lie. (2018)
Use of dynamically adapted basis functions to accelerate multiscale simulation of complex geomodels
16th European Conference on the Mathematics of Oil Recovery (ECMOR XVI), Sep 2018
DOI: 10.3997/2214-4609.201802251
3Ø. Klemetsdal, A. F. Rasmussen, O. Møyner, K.-A. Lie. (2018)
Nonlinear Gauss-Seidel solvers with higher order for black-oil models
16th European Conference on the Mathematics of Oil Recovery (ECMOR XVI), Sep 2018
DOI: 10.3997/2214-4609.201802130
2Ø. Klemetsdal, O. Møyner, K.-A. Lie. (2017)
Non-linear Newton solver for a polymer two-phase system using interface-localized trust regions
19th European Symposium on Improved Oil Recovery (IOR 2017), Apr 2017
DOI: 10.3997/2214-4609.201700356
1Ø. Klemetsdal, R. L. Berge, K.-A. Lie, H. M. Nilsen, O. Møyner. (2017)
Unstructured Gridding and Consistent Discretizations for Reservoirs with Faults and Complex Wells
SPE Reservoir Simulation Conference, (SPE RSC 2017), Feb 2017
DOI: 10.2118/182666-MS

Peer-reviewed book chapters

4R. L. Berge, Ø. Klemetsdal, K.-A. Lie. (2021 )
Unstructured PEBI grids conforming to lower-dimensional objects
In: K.-A. Lie, O. Møyner (eds) Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge University Press. doi: 10.1017/9781009019781
DOI: 10.1017/9781009019781.005
3Ø. Klemetsdal, K.-A. Lie. (2021 )
Implicit discontinuous Galerkin methods for transport equations in porous media
In: K.-A. Lie, O. Møyner (eds) Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge University Press. doi: 10.1017/9781009019781
DOI: 10.1017/9781009019781.007
2M. Collignon, Ø. Klemetsdal, O. Møyner. (2021 )
Simulation of geothermal systems using MRST
In: K.-A. Lie, O. Møyner (eds) Advanced Modeling with the MATLAB Reservoir Simulation Toolbox. Cambridge University Press. doi: 10.1017/9781009019781
DOI: 10.1017/9781009019781.018
1Ø. Klemetsdal, O. Møyner, X. Raynaud, K.-A. Lie. (2020)
A comparison of consistent discretizations for elliptic problems on polyhedral grids
In: R. Klöfkorn, E. Keilegavlen, F. A. Radu, J. Fuhrmann (eds) Finite Volumes for Complex Applications IX – Methods, Theoretical Aspects, Examples (FVCA 2020)
Springer Proceedings in Mathematics & Statistics, vol 323, pp 585–594. Springer, Cham.
DOI: 10.1007/978-3-030-43651-3_55

POSTERS

1M. Collignon, Ø. Klemetsdal, M. Catinat, G. Bethune, P. Ungemach, M. Antics, B. Brigaud. (2025)
Réduire l’incertitude de la perméabilité dans les réservoirs carbonatés par une approche combinée de modélisation statistique et numérique: leçons du Bassin Parisien
Les Journées de la géothermie 2025, June 19 – 20, 2025
Open access:

Theses

2Ø. Klemetsdal. (2019 )
Efficient solvers for field-scale simulation of flow and transport in porous media
Doctoral thesis, Norwegian University of Science and Technology, Trondheim, Norway, (2019:374). ISSN: 1503-8181.
URL: http://hdl.handle.net/11250/2641809
1Ø. Klemetsdal. (2016 )
The virtual element method as a common framework for finite element and finite difference methods – numerical and theoretical analysis
Master’s thesis, Norwegian University of Science and Technology, Trondheim, Norway
URL: http://hdl.handle.net/11250/2405996

Popular science

3O. Andersen, Ø. Klemetsdal, M. Hjelstuen, H. Kauko. (2025 )
Banebrytende gjennombrudd kan spille en nøkkelrolle i fremtidens energisystem
URL: altinget.no
2Ø. Klemetsdal, O. Andersen, M. Hjelstuen. (2022 )
En viktig del av løsningen på fremtidens energibehov ligger rett under føttene våre
Forskersonen.no, Oct 2022
URL: forskersonen.no
1Ø. Klemetsdal, O. Møyner. (2018 )
Using physics to speed up reservoir simulation
European Consortium for Mathematics in Industry (ECMI), Sep 2018
URL: ecmiindmath.org