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Trond Mannseth

Trond Mannseth

Research Professor

+47 56 10 71 27
Nygårdsgaten 112, 5008 Bergen, Norway

Trond Mannseth holds a PhD degree (1986) in applied mathematics from the University of Bergen, Norway. Since 1/10 2018, he is a chief scientist at NORCE Energy.

From 2004 to 30/9 2018 he was a chief scientist at the Centre for Integrated Petroleum Research, Uni Research CIPR, in Bergen. From 1996 to 2004 he was a senior researcher and a chief scientist at the International Research Institute of Stavanger, Norway. From 1985 to 1996 he was a researcher and a senior researcher at Norsk Hydro Research Center in Bergen. From 2003 to 2015 he was also an adjunct professor in applied mathematics at the University of Bergen.

From 1985 to 1996 his main research interest was within method development for simulation of multiphase fluid flows in porous media with realistic geological complexity.

Since 1996 his research interests have mainly been within method development for geoscience-related inverse problems such as dynamic subsurface characterization and monitoring of fluid flows in the subsurface. In recent years, the focus has been on methods that facilitate uncertainty quantification, such as ensemble-based methods, and on simultaneous utilization of different data types.

Trond Mannseth


Energy & Technology

Research themes

Data assimilation
Decision support systems
Reservoir Modelling

Research Groups

Dataassimilering og optimalisering

More information about Trond Mannseth

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Sequential multilevel assimilation of inverted seismic data – Computational Geosciences 2023
Towards Application of Multilevel Data Assimilation in Realistic Reservoir History-Matching Problems – 2022
Iterative multilevel assimilation of inverted seismic data – Computational Geosciences 2022
Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error – Frontiers in Applied Mathematics and Statistics 2021
A novel approach to multilevel data assimilation – 2020
Combining CSEM or gravity inversion with seismic AVO inversion, with application to monitoring of large-scale CO2 injection – Computational Geosciences 2020
Assessment of multilevel ensemble-based data assimilation for reservoir history matching – Computational Geosciences 2020
Protection of Caprock Integrity for Large-Scale CO2 Storage on the Norwegian Continental Shelf – International Journal of Greenhouse Gas Control 2019
Assimilation of multiple linearly dependent data vectors – Computational Geosciences 2019
Geophysical Monitoring [FME SUCCESS Synthesis report Volume 4] – SUCCESS [Christian Michelsen Research AS] 2018
Assimilating spatially dense data for subsurface applications - balancing information and degrees of freedom – Computational Geosciences 2018
Coarse-scale data assimilation as a generic alternative to localization – Computational Geosciences 2017
Ensemble-based multi-scale history-matching using second-generation wavelet transform – Computational Geosciences 2015
Ensemble-based Bayesian inversion of CSEM data for subsurface structure identification – Geophysical Journal International 2015
Layout of CCS monitoring infrastructure with highest probability of detecting a footprint of a CO2 leak in a varying marine environment – International Journal of Greenhouse Gas Control 2015
Comparison of five different ways to assimilate data for a simplistic weakly nonlinear parameter estimation problem – Computational Geosciences 2015
Assessment of ordered sequential data assimilation – Computational Geosciences 2015
Identification of subsurface structures using electromagnetic data and shape priors – Journal of Computational Physics 2015
Parameter sampling capabilities of sequential and simultaneous data assimilation: II. Statistical analysis of numerical results – Inverse Problems 2014
Parameter sampling capabilities of sequential and simultaneous data assimilation: I. Analytical comparison – Inverse Problems 2014
Facies estimation through data assimilation and structure parameterization – Computational Geosciences 2014
Relation between level set and truncated pluri-Gaussian methodologies for facies representation – Mathematical Geosciences 2014
An approximate hybrid method for electromagnetic scattering from an underground target – IEEE Transactions on Geoscience and Remote Sensing 2013
Domain decomposition Fourier finite element method for the simulation of 3D marine CSEM measurements – Journal of Computational Physics 2013
Assessing Model Uncertainties Through Proper Experimental Design – Energy Procedia 2013
Assessing model parameter uncertainties for rising velocity of CO2 droplets through experimental design – International Journal of Greenhouse Gas Control 2012
Sampling error distribution for the ensemble Kalman filter update step – Computational Geosciences 2012
Error estimate for the ensemble Kalman filter analysis step – SIAM Journal on Matrix Analysis and Applications 2011
Identification of three-dimensional electric conductivity changes from time-lapse electromagnetic observations – Journal of Computational Physics 2011
Estimation of a piecewise constant function using reparameterized level-set functions – Mathematics in Industry 2010
Assessing the Impact of different types of time-lapse seismic data on permeability estimation – 2010
Impact of time-lapse seismic data for permeability estimation – Computational Geosciences 2010
Estimation of a piecewise constant function using reparameterized level-set functions – 2010
Identification of diffusion parameters in a nonlinear convection-diffusion equation using the augmented Lagrangian method – Computational Geosciences 2009
Feasibility of simplified integral equation modeling of low-frequency marine CSEM with a resistive target – Geophysics 2009
Improvements on a predictor-corrector strategy for parameter estimation with several data types – Inverse Problems 2009
Multi-level parameter structure identification for two-phase porous-media flow problems using flexible representations – Advances in Water Resources 2009
Identification of diffusion parameters in a nonlinear convection–diffusion equation using the augmented Lagrangian method – Computational Geosciences 2009
Permeability Samples for Uncertainty Assessment by a Predictor Corrector Technique, With Application to RML – 2008
A multi-level strategy for regularized parameter identification using nonlinear reparameterization with sample application for reservoir characterization – Journal of Physics: Conference Series (JPCS) 2008
Sensitivity study of marine CSEM data for reservoir production monitoring – Geophysics 2008
Multiscale regularization of flooding optimization for smart field management – SPE Journal 2008
Data driven reparameterization structure for estimation of fluid conductivity – IAHS-AISH publication 2008
A level-set corrector to an adaptive multiscale permeability prediction – Computational Geosciences 2007
Analysis and comparison of mixed finite element and multipoint flux approximation methods for homogeneous media – Computational Geosciences 2007
Permeability identification from pressure observations: Some foundations for multiscale regularization – Multiscale Modeling & simulation 2006
Reservoir description using dynamic parameterisation selection with a combined stochastic and gradient search – Computational Geosciences 2006
Reolution power of pressure data for permeability identification – Transport in Porous Media 2006
Combined adaptive multiscale and level-set parameter estimation – Multiscale Modeling & simulation 2005
Identification of Unknown Permeability Trends From History Matching of Production Data – SPE Journal 2004
Permeability estimation with the augmented Lagrangian method for a nonlinear diffusion equation – Computational Geosciences 2003
A study of the modelling error in two operator splitting algorithms f or porous media flow – Computational Geosciences 1998
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