
Research Scientist
Jacob Skauvold
- Department Statistical analysis of natural resource data
- Phone number +47 22 85 25 73
- E-mail jas@nr.no
Publications
- 33 publications found
- Publisher
A Statistical Study of Latent Diffusion Models for Geological Facies Modeling Mathematical Geosciences, (ISSN 1874-8961 1874-8953 ), doi: https://doi.org/10.1007/s11004-025-10178-5 , 2025. Scientific article
Latent diffusion model for conditional reservoir facies generation Computers & Geosciences, vol. 194, (ISSN 0098-3004 1873-7803 ), doi: https://doi.org/10.1016/j.cageo.2024.105750 , 2025. Scientific article
Bayesian conditioning in a rule-based facies model 2024. Scientific lecture
A Tree Representation of Pluri-Gaussian Truncation Rules Mathematical Geosciences, vol. 57, (ISSN 1874-8961 1874-8953 ), doi: https://doi.org/10.1007/s11004-024-10162-5 , 2024. Scientific article
Addressing Configuration Uncertainty in Well Conditioning for a Rule-Based Model Mathematical Geosciences, vol. 56, pp. 1763 1788 , (ISSN 1874-8961 1874-8953 ), doi: https://doi.org/10.1007/s11004-024-10144-7 , 2024. Scientific article
GEOPARD 1.0 user manual 2024. Report
Modelling intra-parasequence reservoir heterogeneity with a process-mimicking algorithm: a case study from the Kenilworth Member, Blackhawk Formation EarthArXiv preprint platform, doi: https://doi.org/10.31223/X58981 , 2024. Scientific article
Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Ariel Almendral Vazquez; Marie Lilleborge; et al. GEOPARD 1.0 user manual NR-notat, 2024. Abstract
A statistical study of latent diffusion models for geological modeling 2024. Scientific lecture
Blending Stationary Gaussian Random Fields for Locally Varying Anisotropy 2023. Scientific lecture
Latent Diffusion Model for Conditional Reservoir Facies Generation arXiv, 2023. Scientific article
Conditional Facies Sampling using Denoising Diffusion Probabilistic Models 2023. Scientific lecture
Next generation reservoir modelling algortithms - Shallow marine environments 2023. Scientific 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. Scientific article
A Tree Representation of Plurigaussian Truncation Rules doi: https://doi.org/10.3997/2214-4609.202244066 , 2022. Scientific chapter / article / conference article
The Geopard project 2022. Scientific lecture
Consequences of changes in grid resolution for process model based variogram estimation 2020. Report
Parametric Covariance Estimation in Ensemble-based Data Assimilation 2019. Scientific lecture
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. Scientific article
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. Scientific article
Applied Geostatistics and Geomodelling 2019 2019. Lecture
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. Scientific article
Jacob Skauvold; Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling 2018. Doctor dissertat
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. Scientific article
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. Scientific article