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Geir Nævdal

Geir Nævdal

Research Professor

gena@norceresearch.no
+47 51 87 56 30
Nygårdsgaten 112, 5008 Bergen, Norway

Geir Nævdal finished his PhD (Dr. Ing.) degree in mathematics at NTNU in 1991. Since Oct. 1, 2018, he is a chief scientist at NORCE Energy. From 2004 to 2018 he held the same position at Rogaland Research (2004-2005) and International Research Institute of Stavanger. He started as a senior scientist at Rogaland Research in 1997. In the period 1991-1997, he was an associate professor in mathematics at Stord/Haguesund College. He was an assistant director of research at The National IOR Centre of Norway 2013-2015 and an adjunct professor at the Department of Mathematics, University of Bergen 2009-2012.

Nævdal has been conducting applied research for more than 20 years. He has mostly been working on problems involving porous media flow, flow in wells, and more recently seismic inversion and medicine. His main focus has been on solving problems involving data assimilation, large-scale parameter estimation and optimization.

Projects
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Publications
Fluid-sensitive migration mechanisms predict association between metastasis and high interstitial fluid pressure in pancreatic cancer – Journal of Biomechanics 2022
Methodological developments for ensemble-based optimization of EOR processes – Universitetet i Stavanger 2021
Workflow for adding 4D seismic data in history matching – Universitetet i Stavanger 2021
Homotopy scattering series for seismic forward modelling with variable density and velocity – Geophysical Prospecting 2021
4D seismic history matching – Journal of Petroleum Science and Engineering 2021
Iterative solution of the Lippmann-Schwinger equation in strongly scattering acoustic media by randomized construction of preconditioners – Geophysical Journal International 2020
Ultrasound Imaging of the Brain using Full-Waveform Inversion – Proceedings - IEEE Ultrasonics Symposium 2020
Decoupling of changes in pressure-saturation and porosity fields from time-lapse seismic data using an ensemble based method for a compacting chalk reservoir – 2020
Optimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field – 2020
Homotopy method for seismic modeling in strongly scattering acoustic media with density variation – SEG technical program expanded abstracts 2020
Iterative solution of the Lippmann-Schwinger equation in strongly scattering media by randomized construction of preconditioners – arxiv 2020
Bayesian full waveform inversion in anisotropic elastic media using the iterated extended Kalman filter – Geophysics 2020
Improving hydropower inflow forecasts by assimilating snow data – Hydrology Research 2020
Simultaneous assimilation of production and seismic data: application to the Norne field – Computational Geosciences 2019
OLYMPUS optimization under geological uncertainty – Computational Geosciences 2019
A new framework for assessing subject-specific whole brain circulation and perfusion using MRI-based measurements and a multi-scale continuous flow model – PLoS Computational Biology 2019
Target-oriented inversion of time-lapse seismic waveform data – Communications in Computational Physics 2019
Mathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments – Lecture Notes in Computational Science and Engineering 2019
Iterated extended Kalman filter method for time-lapse seismic full-waveform inversion – Geophysical Prospecting 2018
Petrophysical parameters inversion from seismic data using an ensemble-based method - A case study from a compacting reservoir – 2018
Positive bases with maximal cosine measure – Optimization Letters 2018
OLYMPUS Optimization Under Geological Uncertainty – 2018
History Matching Of Real Production And Seismic Data In The Norne Field – 2018
A target-oriented scheme for efficient inversion of time-lapse seismic waveform data – SEG technical program expanded abstracts 2018
Efficient big data assimilation through sparse representation: A 3D benchmark case study in petroleum engineering – PLOS ONE 2018
Data driven adaptive localization for ensemble-based data assimilation problems – 2018
Correlation-Based Adaptive Localization With Applications to Ensemble-Based 4D-Seismic History Matching – SPE Journal 2018
Bayesian inversion of time-lapse seismicwaveform data using an integral equation method – 2017
New methodology for interpretation of dynamic contrast imaging data – International Research Institute of Stavanger 2017
Estimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method – 2017
Robust production optimization with capacitance-resistance model as precursor – Computational Geosciences 2017
A modified randomized maximum likelihood for improved Bayesian history matching – Computational Geosciences 2017
Integration of IOR Research Projects through Generic Case Studies – 2017
Estimation of Pressure-Saturation and Porosity Fields from Seismic AVA Data Using an Ensemble Based Method – 2017
Bayesian inversion of time-lapse seismic waveform data using an integral equation method – 2017
Data Driven Adaptive Localization With Applications To Ensemble-Based 4D Seismic History Matching – 2017
Ensemble based 4D seismic history matching using a sparse representation of AVA data – SEG technical program expanded abstracts 2016
Time lapse CSEM reservoir monitoring of the Norne field with vertical dipoles – SEG technical program expanded abstracts 2016
Bayesian estimation of reservoir properties—effects of uncertainty quantification of 4D seismic data – Computational Geosciences 2016
Data assimilation using MRI data – 2016
An Ensemble 4D Seismic History Matching Framework with Wavelet Multiresolution Analysis - A 3D Benchmark Case Study – 2016
An Ensemble 4D Seismic History Matching Framework with Sparse Representation Based on Wavelet Multiresolution Analysis – 2016
Robust Production Optimization with Capacitance-Resistance Model as Precursor – 2016
An ensemble 4D-seismic history-matching framework with sparse representation based on wavelet multiresolution analysis – SPE Journal 2016
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