Publication profile
Publication profile
Jacob Skauvold
Name:
Jacob Skauvold
Title:
Forsker / Research Scientist
Phone:
(+47) 22852573 Mob: 91866109
Email:
jas [at] nr [dot] no
Scientific areas:
Bayesian statistics, Geological facies models, Spatial statistics (Geostatistics), Stochastic modelling

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Academic journal articles
2019
Skauvold, Jacob; Eidsvik, Jo; van Leeuwen, Peter Jan; Amezcua, Javier. A revised implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society (ISSN 0035-9009). 145(721) pp 1490-1502. doi: 10.1002/qj.3506. 2019.
Skauvold, Jacob; Eidsvik, Jo. Parametric spatial covariance models in the ensemble Kalman filter. Spatial Statistics (ISSN 2211-6753). 29 pp 226-242. doi: 10.1016/j.spasta.2018.12.005. 2019.
2018
Skauvold, Jacob; Eidsvik, Jo. Data assimilation for a geological process model using the ensemble Kalman filter. Basin Research (ISSN 0950-091X). 30(4) pp 730-745. doi: 10.1111/bre.12273. 2018. Institutional archive
2017
Langaas, Mette; Buan, Aslak Bakke; Rønning, Frode; Tjelmeland, Håkon; Skauvold, Jacob; Thaule, Marius. Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering. Læring om læring (ISSN 2535-4108). 1 2017. Institutional archive
2016
Skauvold, Jacob; Eidsvik, Jo; Theune, Ulrich. A parametric model for seismic wavelets-with estimation and uncertainty quantification. Geophysical Journal International (ISSN 0956-540X). 205(2) pp 796-809. doi: 10.1093/gji/ggw029. 2016.
Academic lectures
2019
Skauvold, Jacob; Eidsvik, Jo. Parametric Covariance Estimation in Ensemble-based Data Assimilation. Konferanse, Petroleum Geostatistics 2019; Firenze, 02.09.2019 - 06.09.2019.
Scientific lectures
2019
Fjellvoll, Bjørn; Hauge, Ragnar; Almendral Vazquez, Ariel; Abrahamsen, Petter; Skauvold, Jacob. Applied Geostatistics and Geomodelling 2019. Annet, Kurs for Equinor; Stavanger, 08.09.2019 - 11.09.2019.
Doctoral dissertations
2018
Skauvold, Jacob. Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling. Trondheim: NTNU . pp 126. 2018.

Name: | Jacob Skauvold |
Title: | Forsker / Research Scientist |
Phone: | (+47) 22852573 Mob: 91866109 |
Email: | jas [at] nr [dot] no |
Scientific areas: | Bayesian statistics, Geological facies models, Spatial statistics (Geostatistics), Stochastic modelling |
![]() | Add to contacts (vCard) |
Show publications |
Academic journal articles
2019Skauvold, Jacob; Eidsvik, Jo; van Leeuwen, Peter Jan; Amezcua, Javier. A revised implicit equal-weights particle filter. Quarterly Journal of the Royal Meteorological Society (ISSN 0035-9009). 145(721) pp 1490-1502. doi: 10.1002/qj.3506. 2019.
Skauvold, Jacob; Eidsvik, Jo. Parametric spatial covariance models in the ensemble Kalman filter. Spatial Statistics (ISSN 2211-6753). 29 pp 226-242. doi: 10.1016/j.spasta.2018.12.005. 2019.
2018Skauvold, Jacob; Eidsvik, Jo. Data assimilation for a geological process model using the ensemble Kalman filter. Basin Research (ISSN 0950-091X). 30(4) pp 730-745. doi: 10.1111/bre.12273. 2018. Institutional archive
2017Langaas, Mette; Buan, Aslak Bakke; Rønning, Frode; Tjelmeland, Håkon; Skauvold, Jacob; Thaule, Marius. Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering. Læring om læring (ISSN 2535-4108). 1 2017. Institutional archive
2016Skauvold, Jacob; Eidsvik, Jo; Theune, Ulrich. A parametric model for seismic wavelets-with estimation and uncertainty quantification. Geophysical Journal International (ISSN 0956-540X). 205(2) pp 796-809. doi: 10.1093/gji/ggw029. 2016.
Academic lectures
2019Skauvold, Jacob; Eidsvik, Jo. Parametric Covariance Estimation in Ensemble-based Data Assimilation. Konferanse, Petroleum Geostatistics 2019; Firenze, 02.09.2019 - 06.09.2019.
Scientific lectures
2019Fjellvoll, Bjørn; Hauge, Ragnar; Almendral Vazquez, Ariel; Abrahamsen, Petter; Skauvold, Jacob. Applied Geostatistics and Geomodelling 2019. Annet, Kurs for Equinor; Stavanger, 08.09.2019 - 11.09.2019.
Doctoral dissertations
2018Skauvold, Jacob. Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling. Trondheim: NTNU . pp 126. 2018.