About this person

Trond Mannseth’s current research area is inverse problems within the geosciences, particularly method development and assessment for reservoir history matching and geophysical monitoring of fluid flows in the subsurface. His current  focus is on ensemble-based methods, multi-level methods, and advanced parameterization methods. He holds a PhD in applied mathematics from the University of Bergen (1986).



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Other publications

  • Tveit, Svenn; Mannseth, Trond; Park, Joonsang; Sauvin, Guillaume; Agersborg, Remy Joint utilization of geophysical data types, with application to monitoring of CO2 injection in the Skade formation. 2018.
  • Tveit, Svenn; Mannseth, Trond Identification of geothermal reservoirs from ensemble-based Bayesian inversion of 3D MT data. 2018.
  • Mannseth, Trond; Kristian, Fossum Assimilating Spatially Dense Data for Subsurface Applications - Balancing Information and Degrees of Freedom. 2017.
  • Mannseth, Trond; Fossum, Kristian; Stordal, Andreas S. Generic approaches to reducing data-assimilation Monte-Carlo error for subsurface applications. 2017.
  • Fossum, Kristian; Mannseth, Trond; Stordal, Andreas S. Multi-level ensemble based data assimilation. 2017.
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Ongoing projects

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cp: 2019-12-04 11:17:00