A
Anne Randi Syversveen
Researcher at Norwegian Computing Center
Publications - 29
Citations - 1444
Anne Randi Syversveen is an academic researcher from Norwegian Computing Center. The author has contributed to research in topics: Fault (geology) & Stochastic modelling. The author has an hindex of 11, co-authored 29 publications receiving 1320 citations. Previous affiliations of Anne Randi Syversveen include Norwegian University of Science and Technology & Imperial College London.
Papers
More filters
Journal ArticleDOI
Log Gaussian Cox Processes
TL;DR: Planar Cox processes directed by a log Gaussian intensity process are investigated in the univariate and multivariate cases and the appealing properties of such models are demonstrated theoretically as well as through data examples and simulations.
Journal ArticleDOI
Methods for quantifying the uncertainty of production forecasts: a comparative study
TL;DR: In this article, a comparison study of several methods to quantify uncertainty on production forecasts for reservoir models conditioned to both static and dynamic well data is presented, and the results show that for a significant number of approaches the truth case was outside the predicted range.
Journal ArticleDOI
Sensitivity of the impact of geological uncertainty on production from faulted and unfaulted shallow-marine oil reservoirs: objectives and methods
Tom Manzocchi,Jonathan Carter,A. Skorstad,Bjørn Fjellvoll,Karl Dunbar Stephen,John A. Howell,John D. Matthews,John J. Walsh,M. Nepveu,C. Bos,Jonathan O. Cole,P. Egberts,Stephen S. Flint,C. Hern,Lars Holden,H. Hovland,H. Jackson,Odd Kolbjørnsen,Angus Smith Macdonald,P.A.R. Nell,K. Onyeagoro,J. A. Strand,Anne Randi Syversveen,A. Tchistiakov,Canghu Yang,Graham Yielding,Robert W. Zimmerman +26 more
TL;DR: The SAIGUP modeling project has focused on the problem of assessing the influence of geological factors on production in a large suite of synthetic shallow-marine reservoir models, ranging from comparatively simple, parallel, wave-dominated shorelines through to laterally heterogeneous, lobate, river-dominated systems with abundant low-angle clinoforms as mentioned in this paper.
Journal ArticleDOI
Bayesian object recognition with Baddeley's delta loss
Håvard Rue,Anne Randi Syversveen +1 more
TL;DR: This work proposes to use the squared Δ-metric of Baddeley (1992) as a loss function and demonstrates that the corresponding optimal Bayesian estimator can be well approximated by combining Markov chain Monte Carlo methods with simulated annealing into a two-step algorithm.
Journal ArticleDOI
Impact of top-surface morphology on CO2 storage capacity
Halvor Møll Nilsen,Anne Randi Syversveen,Knut-Andreas Lie,Knut-Andreas Lie,Jan Tveranger,Jan Martin Nordbotten +5 more
TL;DR: In this paper, a series of different top surfaces are created by combining different stratigraphic scenarios with different structural scenarios, and the authors investigate how different top-surface morphologies will influence the CO2 storage capacity.