Publication profile
Publication profile
Jacob Skauvold
Name:
Jacob Skauvold
Title:
Forsker / Research Scientist
Phone:
(+47) +47 22 85 25 73
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 article
2019
. 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. Arkiv
. 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. Arkiv
2018
. 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. Arkiv
2017
. Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering. Læring om læring (ISSN 2535-4108). 1 2017. Arkiv
2016
. 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 chapter/article/Conference paper
2022
. A Tree Representation of Plurigaussian Truncation Rules. In: Proceedings of the European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022). (ISBN 0-000-00001-9). doi: 10.3997/2214-4609.202244066. 2022.
Academic lecture
2022
. Testing a rule-based approach for reservoir modelling of shoreface successions: the GEOPARD algorithm. British Sedimentological Research Group 61st Annual Meeting; National Oceanography Centre, Southampton, 12/6/2022 - 12/8/2022.
. The Geopard project. Production Geoscience; Stavanger, 11/1/2022 - 11/2/2022.
. Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling. EGU General Assembly 2022; Vienna, Austria, 5/23/2022 1:00:00 AM - 5/27/2022 1:00:00 AM.
2019
. Parametric Covariance Estimation in Ensemble-based Data Assimilation. Petroleum Geostatistics 2019; Firenze, 9/2/2019 - 9/6/2019. Sammendrag
Lecture
2022
. A rule-based reservoir stacking model with effective well conditioning. IAMG 2022 21st annual conference; Nancy, Frankrike, 8/29/2022 - 9/3/2022.
2019
. Applied Geostatistics and Geomodelling 2019. Kurs for Equinor; Stavanger, 9/8/2019 - 9/11/2019.
Doctoral dissertation
2018
. Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling. NTNU. pp 126. 2018.
Report
2020
. Consequences of changes in grid resolution for process model based variogram estimation. Norsk Regnesentral. NR-notat SAND/13/20. pp 16. 2020.
. Geomodel Parameter Estimation from Process Model Analogues. Norsk Regnesentral. NR-notat SAND/08/20. pp 83. 2020.
| Name: | Jacob Skauvold |
| Title: | Forsker / Research Scientist |
| Phone: | (+47) +47 22 85 25 73 |
| 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 article
2019
. 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. Arkiv
. 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. Arkiv
2018
. 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. Arkiv
2017
. Læringsressurser i grunnutdanningen i matematikk - kvalitet, tilgjengelighet og differensiering. Læring om læring (ISSN 2535-4108). 1 2017. Arkiv
2016
. 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 chapter/article/Conference paper
2022
. A Tree Representation of Plurigaussian Truncation Rules. In: Proceedings of the European Conference on the Mathematics of Geological Reservoirs (ECMOR 2022). (ISBN 0-000-00001-9). doi: 10.3997/2214-4609.202244066. 2022.
Academic lecture
2022
. Testing a rule-based approach for reservoir modelling of shoreface successions: the GEOPARD algorithm. British Sedimentological Research Group 61st Annual Meeting; National Oceanography Centre, Southampton, 12/6/2022 - 12/8/2022.
. The Geopard project. Production Geoscience; Stavanger, 11/1/2022 - 11/2/2022.
. Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling. EGU General Assembly 2022; Vienna, Austria, 5/23/2022 1:00:00 AM - 5/27/2022 1:00:00 AM.
2019
. Parametric Covariance Estimation in Ensemble-based Data Assimilation. Petroleum Geostatistics 2019; Firenze, 9/2/2019 - 9/6/2019. Sammendrag
Lecture
2022
. A rule-based reservoir stacking model with effective well conditioning. IAMG 2022 21st annual conference; Nancy, Frankrike, 8/29/2022 - 9/3/2022.
2019
. Applied Geostatistics and Geomodelling 2019. Kurs for Equinor; Stavanger, 9/8/2019 - 9/11/2019.
Doctoral dissertation
2018
. Ensemble-based Data Assimilation Methods Applied to Geological Process Modeling. NTNU. pp 126. 2018.
Report
2020
. Consequences of changes in grid resolution for process model based variogram estimation. Norsk Regnesentral. NR-notat SAND/13/20. pp 16. 2020.
. Geomodel Parameter Estimation from Process Model Analogues. Norsk Regnesentral. NR-notat SAND/08/20. pp 83. 2020.
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