Jacob Skauvold

Ingrid Aarnes; Agustin Arguello Scotti; Jacob Skauvold; Ragnar Hauge; Christian Haug Eide; Modelling shoreface geometries with a new facies-algorithm informed by geological rules and analogue data 2023. Lecture

Daesoo Lee; Oscar Ovanger; Jo Eidsvik; Erlend Aune; Jacob Skauvold; et al. Latent Diffusion Model for Conditional Reservoir Facies Generation arXiv, 2023. Vitenskapelig artikkel

Agustin Arguello Scotti; Christian Haug Eide; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; et al. From Concept to Reservoir Modelling: The Record of Tide-dominated, Progradational Shoreline Systems 2023. Poster

Agustin Arguello Scotti; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Christian Haug Eide; et al. Next generation reservoir modelling algortithms - Shallow marine environments 2023. Vitenskapelig foredrag

Agustin Arguello Scotti; Ingrid Aarnes; Christian Haug Eide; Jacob Skauvold; Ragnar Hauge; Modeling Shoreface Geometries of the Kenilworth Member, Blackhawk Formation, with the Geopard Algorithm 2023. Vitenskapelig foredrag

Oscar Ovanger; Daesoo Lee; Jo Eidsvik; Jacob Skauvold; Ragnar Hauge; Conditional Facies Sampling using Denoising Diffusion Probabilistic Models 2023. Vitenskapelig foredrag

Ingrid Aarnes; Ragnar Hauge; Agustin Arguello Scotti; Jacob Skauvold; The Geopard project 2022. Vitenskapelig foredrag

Agustin Arguello Scotti; Christian Haug Eide; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling 2022. Vitenskapelig foredrag

Audun Sektnan; Ariel Almendral Vazquez; Ragnar Hauge; Ingrid Aarnes; Jacob Skauvold; et al. A Tree Representation of Plurigaussian Truncation Rules pp. 17 , doi: https://doi.org/10.3997/2214-4609.202244066 , 2022. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Agustin Arguello Scotti; Ingrid Aarnes; Christian Haug Eide; Jacob Skauvold; Ragnar Hauge; Testing a rule-based approach for reservoir modelling of shoreface successions: the GEOPARD algorithm 2022. Vitenskapelig foredrag

Oscar Ovanger; Jo Eidsvik; Jacob Skauvold; Ragnar Hauge; Ingrid Aarnes; A rule-based reservoir stacking model with effective well conditioning 2022. Lecture

Audun Sektnan; Ariel Almendral Vazquez; Ragnar Hauge; Ingrid Aarnes; Jacob Skauvold; et al. A Tree Representation of Plurigaussian Truncation Rules ECMOR Proceedings, vol. 2022, pp. 17 , doi: https://doi.org/10.3997/2214-4609.202244066 , 2022. Vitenskapelig artikkel

Jacob Skauvold; Ragnar Hauge; Consequences of changes in grid resolution for process model based variogram estimation 2020. Rapport

Vegard Berg Kvernelv; Ragnar Hauge; Jacob Skauvold; Geomodel Parameter Estimation from Process Model Analogues 2020. Rapport

Bjørn Fjellvoll; Ragnar Hauge; Ariel Almendral Vazquez; Petter Abrahamsen; Jacob Skauvold; Applied Geostatistics and Geomodelling 2019 2019. Lecture

Jacob Skauvold; Jo Eidsvik; Peter Jan van Leeuwen; Javier Amezcua; A revised implicit equal-weights particle filter Quarterly Journal of the Royal Meteorological Society, pp. 1490 1502 , doi: https://doi.org/10.1002/qj.3506 , 2019. Vitenskapelig artikkel

Jacob Skauvold; Jo Eidsvik; Parametric spatial covariance models in the ensemble Kalman filter Spatial Statistics, pp. 226 242 , doi: https://doi.org/10.1016/j.spasta.2018.12.005 , 2019. Vitenskapelig artikkel

Jacob Skauvold; Jo Eidsvik; Parametric Covariance Estimation in Ensemble-based Data Assimilation , 2019. Vitenskapelig foredrag

Jacob Skauvold; Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling 2018. Doctor dissertat

Jacob Skauvold; Jo Eidsvik; Data assimilation for a geological process model using the ensemble Kalman filter Basin Research, pp. 730 745 , doi: https://doi.org/10.1111/bre.12273 , 2018. Vitenskapelig artikkel

Mette Langaas; Aslak Bakke Buan; Frode Rønning; Håkon Tjelmeland; Jacob Skauvold; et al. Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering Læring om læring, , 2017. Vitenskapelig artikkel

Jacob Skauvold; Jo Eidsvik; Ulrich Theune; A parametric model for seismic wavelets-with estimation and uncertainty quantification Geophysical Journal International, pp. 796 809 , doi: https://doi.org/10.1093/gji/ggw029 , 2016. Vitenskapelig artikkel