51 citations · 114 across the 8 of their papers we have counts for
8 papers
Bayesian inversion of multilayer migration from seismic plume observations using a graph-based finite-rate invasion-percolation model
Elling Svee, Jo Eidsvik, Kasper Hunnestad +1
Vertical migration of in layered sandstone reservoirs is controlled by thin shale barriers whose properties are often poorly known. We develop a Bayesian framework…
Latent Diffusion Model for Conditional Reservoir Facies Generation
Daesoo Lee, Oscar Ovanger, Jo Eidsvik +3
Creating accurate and geologically realistic reservoir facies based on limited measurements is crucial for field development and reservoir management, especially in the oil and gas…
Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data
Florian Beiser, Håvard Heitlo Holm, Jo Eidsvik
For oceanographic applications, probabilistic forecasts typically have to deal with i) high-dimensional complex models, and ii) very sparse spatial observations. In search-and-resc…
VNIbCReg: VICReg with Neighboring-Invariance and better-Covariance Evaluated on Non-stationary Seismic Signal Time Series
Daesoo Lee, Erlend Aune, Nadège Langet +1
One of the latest self-supervised learning (SSL) methods, VICReg, showed a great performance both in the linear evaluation and the fine-tuning evaluation. However, VICReg is propos…
Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling
Trygve Olav Fossum, Cédric Travelletti, Jo Eidsvik +2
Improving and optimizing oceanographic sampling is a crucial task for marine science and maritime resource management. Faced with limited resources in understanding processes in th…
Data Assimilation for a Geological Process Model Using the Ensemble Kalman Filter
Jacob Skauvold, Jo Eidsvik
We consider the problem of conditioning a geological process-based computer simulation, which produces basin models by simulating transport and deposition of sediments, to data. Em…
A class of covariate-dependent spatiotemporal covariance functions for the analysis of daily ozone concentration
Brian J. Reich, Jo Eidsvik, Michele Guindani +2
In geostatistics, it is common to model spatially distributed phenomena through an underlying stationary and isotropic spatial process. However, these assumptions are often untenab…
Dynamic Decision Making for Graphical Models Applied to Oil Exploration
Gabriele Martinelli, Jo Eidsvik, Ragnar Hauge
This paper has been withdrawn by the authors. We present a framework for sequential decision making in problems described by graphical models. The setting is given by dependent dis…