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Randi Valestrand

Randi Valestrand

Research Director Data Assimilation and Optimization

rava@norceresearch.no
+47 51 87 56 39
+47 934 40 899
Nygårdsgaten 112, 5008 Bergen, Norway

I finished my PhD (Dr. Scient) in Physics from the University of Bergen in 2002 at age 28. From 2002-2008 I worked as a research scientist at the International Research Institute of Stavanger (IRIS), and from 2008-2014 as a senior research scientist. In 2014 I became a Research Director of a research group of about 20 people. Currently, I am heading the group of 20 people on “Data assimilation and Optimization” at the Energy department of NORCE. I am also a permanent member of the leader group at the department.

From 2002 I have led several large Joint Industry Projects (JIP) funded by the Research Council of Norway and several industry partners. My research interests focus on ensemble based methods for improved reservoir management.

Research interests are also covered by the following JIPs I have led in the past years: “4D Seismic History Matching”; “Reservoir Data Assimilation for Realistic Geology”; “Improved reservoir forecasting through natural and injected tracer modelling” and; “Cost efficient reservoir characterization”.

Since 2015 I have been the Research Director of Theme 2 in the National IOR Centre of Norway, and a permanent member of the management group of the Centre. The Centre host is the University of Stavanger with research partners NORCE and IFE, and currently nine user partners. Theme 2 covers “Mobile Oil– Reservoir Characterisation to Improve Volumetric Sweep” including: “Tracer Technology; “Reservoir Simulation Tools ” and; “Field Scale Evaluation and History Matching ”.

September 2019, I as a coordinator, submitted a proposal, DigiFuture, to the call for new Centers for Research-based Innovation (CRI) by the Research Council of Norway. DigiFuture aims to develop generic ensemble methods for probabilistic risk assessment and decision support and demonstrate these methods in a wide range of industrial and societal applications.

Projects
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Publications
Simultaneous assimilation of production and seismic data: application to the Norne field – Computational Geosciences 2019
History Matching the Full Norne Field Model Using Seismic and Production Data – SPE Journal 2019
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied To the Norne Field Case Study – SPE Reservoir Evaluation and Engineering 2018
History Matching Of Real Production And Seismic Data In The Norne Field – 2018
History Matching Using an Iterative Ensemble Smoother with Correlation-Based Adaptive Localization - A Real Field Case Study – 2018
Correlation-Based Adaptive Localization for Ensemble-Based History Matching: Applied to the Norne Field Case Study – 2018
Integration of IOR Research Projects through Generic Case Studies – 2017
Integrated Workflow of Preserving Facies Realism in History Matching: Application to the Brugge Field – SPE Journal 2016
On an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation – 2014
Estimating Geo-modeling Control-parameters from Historical Data by Means of the EnKF – IRIS 2014
On an Alternative Implementation of the Iterative Ensemble Smoother and its Application to Reservoir Facies Estimation – IRIS 2014
Estimating geo-modeling control-parameters from historical data by means of the EnKF – 2014
Smart Wells for Improved Water Management in the Presence of Geological Uncertainty – 2014
Comparing the adaptive Gaussian mixture filter with the ensemble Kalman filter on synthetic reservoir models – Computational Geosciences 2012
Evaluation of EnKF and variants on the PUNQ-S3 case – Oil & gas science and technology 2012
Natural and conventional tracers for improving reservoir models using the EnKF approach – SPE Journal 2010
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