Geir Evensen
Chief Scientist at Nansen Environmental and Remote Sensing Center
Bergen, Vestland, Norway
Summary
👤
Senior🎓
Top SchoolGeir Evensen is a Chief Scientist with nearly three decades of R&D leadership in data assimilation for ocean and weather forecasting and petroleum reservoir modeling. He invented ensemble Kalman filter/smoother methods now used by major meteorological services and developed ensemble history-matching techniques commercialized by Roxar. Geir has a strong record of taking ideas from concept to operational implementation, including the Fast-Model-Update multidisciplinary workflow deployed at Statoil. Based in Bergen, he combines a Dr. Scient. in Applied Mathematics with hands-on project management across international research consortia. He currently leads research programs at NORCE and the Nansen Center, supervising PhD students while driving industrial impact. Less obvious: his work bridges academic theory and practical software workflows that run in production operational forecasting and reservoir-management systems.
9 years of coding experience
10 years of employment as a software developer
Dr. Scient., Applied Mathematics, Dr. Scient., Applied Mathematics at University of Bergen (UiB)
English, German, French, Norwegian
Github Skills (17)
simulation10
python10
sensitivity10
mda10
iterative10
to-do10
sensitivity-analysis10
ensembles10
ert10
reservoir10
sqrt9
routines8
inversion6
fortran5
equation4
Programming languages (3)
Github contributions (5)
geirev/Presentations
May 2021 - Nov 2022
Contributions:9 commits, 12 pushes, 3 branches in 1 year 5 months
geirev/EnKF_advection
Oct 2019 - Aug 2022
EnKF with linear advection equation.
Contributions:2 PRs, 16 pushes, 5 branches in 2 years 10 months
advectionadvection-equationequationlinear
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