I completed my PhD in applied mathematics at the University of Bergen in 2002. Since 1/10-2018 I have been employed as a senior scientist in NORCE Energy. From 2006-2018 I was a senior scientist at IRIS, and before that a researcher at Rogaland research.
I have mainly worked with problems related to modeling of multi-phase fluid flow in wells and porous media (reservoirs), and in particular calibration of models using ensemble-based data assimilation. I have also worked on ensemble-based optimization, and have contributed to the development and applications of these methods. More recently, I have worked with applications involving large data sets (seismic) and large-scale models, as well as problems in medicine and offshore wind.
Rolf Johan Lorentzen
Senior Researcher
rolo@norceresearch.no
+47 51 87 56 24
Nygårdsgaten 112, 5008 Bergen, Norway
Division
Energy and Technology
Research themes
Renewable energy
Data assimilation
Reservoir Modelling
Research Groups
Data Assimilation and Optimization
More information about Rolf
Download pressphotoSource: NORCE/Rune Rolvsjord
Projects
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Conference lecturePerfusion estimation using synthetic MRI-based measurements and a porous media flow model– Workshop on image processing, modelling of porous media flow and parameter estimation in medicine and geo-sciences 2024
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Academic articleAccelerated ensemble optimization using momentum methods– Scientific Reports 2024
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Academic articleNon-Gaussian Ensemble Optimization– Mathematical Geosciences 2024
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Academic articleEnsemble-based history matching of the Edvard Grieg field using 4D seismic data– Computational Geosciences 2024
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Academic articleMarginalized iterative ensemble smoothers for data assimilation– Computational Geosciences 2023
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Conference lectureOffshore wind farm layout optimization using ensemble methods– The offshore wind conference Science Meets Industry 2023
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Conference lectureNon-Gaussian Ensemble Optimization (presentation)– CSSR Partner Workshop 2023 2023
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Conference lectureNon-Gaussian Ensemble Optimization (Presentation)– EnKF Workshop 2023
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Academic articlePerfusion estimation using synthetic MRI-based measurements and a porous media flow model– PLoS Computational Biology 2023
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Conference lectureNon-Gaussian Ensemble Optimization and Likelihoods– Visit at TU Delft 2023
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Academic articleMarginalized iterative ensemble smoothers for data assimilation– Computational Geosciences 2023
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Academic articleOffshore wind farm layout optimization using ensemble methods– Renewable Energy 2023
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Academic articleA natural Hessian approximation for ensemble based optimization– Computational Geosciences 2023
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Academic chapterHistory Matching Field Scale Model Using LET Based Relative Permeability– 2022
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Academic articleAdaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery– Advances in Computational Mathematics 2022
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Conference lectureDrainage optimization– Energy Norway 2022 2022
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Academic articleRobust Value Quantification of Enhanced Oil Recovery Methods Using Ensemble-Based Optimization– SPE Reservoir Evaluation and Engineering 2022
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Research reportMethodological developments for ensemble-based optimization of EOR processes– Universitetet i Stavanger 2021
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Research reportWorkflow for adding 4D seismic data in history matching– Universitetet i Stavanger 2021
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Conference lectureRobust and efficient optimization demonstrated on the Olympus field– IOR Centre's Workshop on Production optimization, value of information and decision-making 2021
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Academic articleEnsemble-based constrained optimization using an exterior penalty method– Journal of Petroleum Science and Engineering 2021
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Academic literature review4D seismic history matching– Journal of Petroleum Science and Engineering 2021
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Academic articleAccounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning– Journal of Petroleum Science and Engineering 2021
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Academic chapterOptimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field– 2020
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Conference lectureWorkflow for ensemble-based history matching - Demonstrated on the Edvard Grieg field– Short course for Lundin 2020
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Academic chapterOn the Robust Value Quantification of Polymer EOR Injection Strategies for Better Decision Making– 2020
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Academic chapterAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– 2020
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Conference lectureAccounting for Model Errors of Rock Physics Models in 4D Seismic History Matching Problems: A Perspective of Machine Learning– SPE Norway Subsurface Conference 2020
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Conference lectureOptimizing Well Economic Limits Using Ensemble-Based Optimization on Olympus Field– SPE Norway Subsurface Conference 2020
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Academic chapterAssisted History Matching of 4Dseismic Data - A Comparative Study– 2019
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Academic articleSimultaneous assimilation of production and seismic data: application to the Norne field– Computational Geosciences 2019
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Academic articleOLYMPUS optimization under geological uncertainty– Computational Geosciences 2019
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Conference lectureAn ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: a real field case study– NORA (The Norwegian Artificial Intelligence Research Consortium) meeting at NORCE 2019
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Conference lectureAn ensemble-based kernel learning approach to account for model errors of rock physics models in 4D seismic history matching: A real field case study– FORCE symposium: Applied Machine Learning and Advanced Analytics with Oil and Gas Data 2019
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Academic chapterEnsemble-based Kernel Learning to Handle Rock-physics-model Imperfection in Seismic History Matching: A Real Field Case Study– 2019
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Conference lectureOlympus optimization under geological uncertainty– 14TH INTERNATIONAL ENKF WORKSHOP 2019
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Conference lectureHistory Matching Production and 4D Seismic Data and Application to the Norne Field– IOR NORWAY 2019 2019
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Academic articleHistory Matching the Full Norne Field Model Using Seismic and Production Data– SPE Journal 2019
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Academic articleMathematics and Medicine: How mathematics, modelling and simulations can lead to better diagnosis and treatments– Lecture Notes in Computational Science and Engineering 2019
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Conference lectureOlympus Optimization under Geological Uncertainty– EAGE/TNO Workshop on OLYMPUS Field Development Optimization 2018
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Conference lectureHistory Matching Production and 4D Seismic Data in the Norne Field– FORCE - 30 years of 4D seismic on the Norwegian Continental Shelf 2018
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Academic articleCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study– SPE Reservoir Evaluation and Engineering 2018
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Academic chapterOLYMPUS Optimization Under Geological Uncertainty– 2018
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Academic chapterHistory Matching Of Real Production And Seismic Data In The Norne Field– 2018
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Conference lectureHistory Matching of Real Production and Seismic Data in the Norne Field– IEA-EOR Energy Technology Network Symposium 2018
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Conference lectureHistory Matching of Real Production and Seismic Data in the Norne Field– Foredrag ved ConocoPhillips 2018
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Academic chapterHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 2018
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Conference lectureHistory Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study– 80th EAGE Annual Conference and Exhibition 2018 2018
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Conference lectureHistory matching real production and seismic data for the Norne field– EnKF Workshop 2018 2018
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Conference lectureBig data assimilation and uncertainty quantification in 4D seismic history matching– IOR NORWAY 2018 Workshop 2018
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Academic chapterCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– 2018
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Conference lectureCorrelation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study– SPE Norway One Day Seminar 2018
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Academic chapterPractical Use of the Ensemble-Based Conjugate Gradient Method for Production Optimization in the Brugge Benchmark Study– 2018
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Academic chapterA Novel Ensemble-Based Conjugate Gradient Method for Reservoir Management– 2018
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Academic chapterEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– 2017
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Conference lectureEstimation of pressure-saturation and porosity fields from seismic acoustic impedance data using an ensemble based method– SEG Annual Meeting 2017 2017
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Conference lectureUse of correlation-based localization for history matching seismic data– SIAM GS 17 2017
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Academic articleAn auxiliary adaptive Gaussian mixture filter applied to flowrate allocation using real data from a multiphase producer– Computers & Geosciences 2017
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Academic chapterData assimilation using MRI data– 2016
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Conference lectureAn Auxiliary Adaptive Gaussian Mixture Filter Applied to Flowrate Allocation Using Real Data from a Multiphase Producer– ECMOR XV 2016
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Academic chapterAn Auxiliary Adaptive Gaussian Mixture Filter Applied to Flowrate Allocation Using Real Data from a Multiphase Producer– 2016
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Conference lectureEnsemble based data assimilation for a multi-compartment porous media model– 11TH INTERNATIONAL ENKF WORKSHOP 2016
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Conference lectureData assimilation using MRI data– ECCOMAS Congress 2016 - European Congress on Computational Methods in Applied Sciences and Engineering 2016
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Conference lectureData assimilation for a multi-compartment porous media model– Workshop on modelling of flow in life tissue 2016
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Academic articleEstimation of production rates using transient well flow modeling and the auxiliary particle filter – full-scale applications– SPE Production & Operations 2016
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Academic articleIterative Ensemble Smoother as an Approximate Solution to a Regularized Minimum-Average-Cost Problem: Theory and Applications– SPE Journal 2015
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Academic articleOptimization of well trajectory under uncertainty for proactive geosteering– SPE Journal 2015
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Academic chapterOn an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation– 2014
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Academic chapterToward an Enhanced Bayesian Estimation Framework for Multiphase Flow Soft-sensing– 2014
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Research reportOn an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation– IRIS 2014
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Conference lectureOn an iterative ensemble smoother and its application to a reservoir facies estimation problem– 14th European Conference on Mathematics of Oil Recovery (ECMOR XIV) 2014
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Conference lectureOn an iterative ensemble smoother and its application to a reservoir facies estimation problem– European Geosciences Union (EGU) General Assembly 2014 2014
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Academic articleToward an enhanced Bayesian estimation framework for multiphase flow soft-sensing– Inverse Problems 2014
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Conference lectureToward an Enhanced Bayesian Estimation Framework for Multiphase Flow Soft-sensing– 14th European Conference on Mathematics of Oil Recovery (ECMOR XIV) 2014
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Conference lectureOn an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation– 14th European Conference on Mathematics of Oil Recovery (ECMOR XIV) 2014