Publication profile
Publication profile
Torstein Mæland Fjeldstad
Name:
Torstein Mæland Fjeldstad
Title:
Seniorforsker / Senior Research Scientist
Phone:
(+47) +47 22 85 26 62
Email:
torstein [at] nr [dot] no
Scientific areas:
Bayesian statistics, Spatial statistics (Geostatistics), Seismic inversion, Software development, Stochastic modelling
Add to contacts (vCard) Show publications
Academic article
2021
. A one-step Bayesian inversion framework for 3D reservoir characterization based on a Gaussian mixture model-A Norwegian Sea demonstration. Geophysics (ISSN 0016-8033). 86(2) pp R221-R236. doi: 10.1190/geo2020-0094.1. 2021. Arkiv
2019
. Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 58(3) pp 1957-1968. doi: 10.1109/TGRS.2019.2951205. 2019.
. A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image. Geophysical Prospecting (ISSN 0016-8025). 67(3) pp 609-623. doi: 10.1111/1365-2478.12753. 2019. Arkiv
2018
. Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models. Geophysics (ISSN 0016-8033). 83(1) pp R31-R42. doi: 10.1190/GEO2017-0239.1. 2018.
2017
. Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems. Mathematical Geosciences (ISSN 1874-8961). 49(4) pp 493-515. doi: 10.1007/s11004-016-9671-9. 2017.
Academic lecture
2021
. Spatial Bayesian lithology/fluid class inversion. Quantitative interpretation - towards integrated predictive sub-surface model, 8/24/2021 - 8/26/2021.
2019
. Joint Probabilistic Seismic Inversion of Lithology/Fluid Classes and Petrophysical Properties Using Gaussian Mixture and Markov Random Field Prior Models. SEG Annual Meeting 2019, 9/15/2019 - 9/20/2020.
. A Flexible Markov Mesh Prior for Lithology/fluid Class Prediction. Petroleum Geostatistics 2019; Firenze, 9/2/2019 - 9/6/2019.
2018
. Probabilistic seismic inversion of facies and petrophysical properties using Gaussian mixture and Markov Chain prior models. 80th EAGE Conference & Exhibition 2018: W05 Seismic Inversion into Lithology/Fluid Classes, 6/9/2018 - 6/15/2018.
2017
. Bayesian inversion based on Gaussian mixture prior models with applications in reservoir characterisation. Spatial Statistics 2017: One World: One Health, 7/4/2017 - 7/7/2017.
. Hydrocarbon prediction from seismic AVO data – a case study from the Norwegian Sea. 26th Annual Conference of the Ethiopian Statistical Association, 3/25/2017 - 3/26/2017.
2016
. Convolved hidden Markov models with spatial coupling. Geostats2016; Valencia, 9/5/2016 - 9/9/2016.
2015
. Bayesian Gaussian mixture linear inversion in geophysical inverse problems. Petroleum Geostatistics 2015; Biarritz, 9/7/2015 - 9/11/2015.
Lecture
2020
. Joint Bayesian spatial inversion of lithology/fluid classes, petrophysical properties and elastic attributes – A Norwegian Sea gas discovery. EGU General Assembly 2020, 5/4/2020 - 5/8/2020.
2017
. Joint Seismic and Petrophysical Inversion Constrained by Facies in a Bayesian Framework. 79th EAGE Conference & Exhibition 2017, 6/12/2017 - 6/15/2017.
. Probabilistic inversion with a facies dependent rock physics model. 4th International Workshop on Rock Physics, 5/29/2017 - 6/2/2017.
Poster
2018
. Approximate Bayesian inference of model parameters in convolved hidden Markov models - with an application to seismic data. 2018 ISBA World Meeting; Edinburgh, 6/24/2018 - 6/29/2018.
2015
. Convolved hidden Markov models for well-log inversion. Petroleum Geostatistics 2015; Biarritz, 9/7/2015 - 9/11/2015.
Report
2022
. PCube Hybrid. Norsk Regnesentral. NR-notat SAND/04/22. pp 26. 2022.
. Seismic Tiles with application to 4D. Norsk Regnesentral. NR-notat SAND/07/22. pp 62. 2022.
. Estimate Reservoir Properties. Norsk Regnesentral. NR-notat SAND/08/22. pp 15. 2022.
2021
. Edvard Grieg 4D inversion results. Norsk Regnesentral. NR-notat SAND/16/21. pp 31. 2021.
. PCube User Manual Version 9.0. Norsk Regnesentral. NR-notat SAND/14/21. pp 109. 2021.
. Introducing a lateral model in PCube+. Norsk Regnesentral. NR-notat SAND/21/21. pp 38. 2021.
. Time alignment uncertainty in PCube and PCube+. Norsk Regnesentral. NR-notat SAND/06/21. pp 29. 2021.
. GIG annual meeting 2021 - Summary of 2020 and planned work for 2021. Norsk Regnesentral. NR-notat SAND/01/21. pp 35. 2021.
2020
. Lithology/fluid class prediction based on a lateral model. Norsk Regnesentral. NR-notat SAND/18/20. pp 78. 2020.
Interview
2022
. Tallknusere om FKHs sjanser: – Ser veldig lovende ut. 2022. h-avis.no [Internet] 10/15/2022.
. Så stor er sjansen for at Start rykker opp: – Vi kan vinne alle kampene. 2022. Fædrelandsvennen [Avis] 9/9/2022.
. Tallknuserne mener håpet i praksis er ute for KBK. 2022. Tidenes Krav [Avis] 9/7/2022.
. Norsk Regnesentral: 99,9 prosent sannsynlig at Brann rykker opp. 2022. Bergens Tidende [Avis] 8/10/2022. Fulltekst
. Tallknusernes dom: Disse tar medalje og disse rykker ned. 2022. nrk.no [Internet] 4/2/2022. Fulltekst
2021
. Live oppdatering av gull- og nedrykkssannsynligher. 2021. Discovery [TV] 10/3/2021.
. Tallene gir dårlig nytt for Rosenborg. Men eksperten er uenig. 2021. Adressavisen [Internet] 10/19/2021.
. Reagerer på tallknusernes spådom for RBK-gull: – Veldig uenig. 2021. Nidaros [Internet] 9/30/2021.
. Norsk Regnesentral: Over 50 prosent sjanse for direkte Brann-nedrykk. 2021. 9/25/2021.
| Name: | Torstein Mæland Fjeldstad |
| Title: | Seniorforsker / Senior Research Scientist |
| Phone: | (+47) +47 22 85 26 62 |
| Email: | torstein [at] nr [dot] no |
| Scientific areas: | Bayesian statistics, Spatial statistics (Geostatistics), Seismic inversion, Software development, Stochastic modelling |
| Add to contacts (vCard) |
| Show publications |
Academic article
2021
. A one-step Bayesian inversion framework for 3D reservoir characterization based on a Gaussian mixture model-A Norwegian Sea demonstration. Geophysics (ISSN 0016-8033). 86(2) pp R221-R236. doi: 10.1190/geo2020-0094.1. 2021. Arkiv
2019
. Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction. IEEE Transactions on Geoscience and Remote Sensing (ISSN 0196-2892). 58(3) pp 1957-1968. doi: 10.1109/TGRS.2019.2951205. 2019.
. A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image. Geophysical Prospecting (ISSN 0016-8025). 67(3) pp 609-623. doi: 10.1111/1365-2478.12753. 2019. Arkiv
2018
. Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models. Geophysics (ISSN 0016-8033). 83(1) pp R31-R42. doi: 10.1190/GEO2017-0239.1. 2018.
2017
. Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems. Mathematical Geosciences (ISSN 1874-8961). 49(4) pp 493-515. doi: 10.1007/s11004-016-9671-9. 2017.
Academic lecture
2021
. Spatial Bayesian lithology/fluid class inversion. Quantitative interpretation - towards integrated predictive sub-surface model, 8/24/2021 - 8/26/2021.
2019
. Joint Probabilistic Seismic Inversion of Lithology/Fluid Classes and Petrophysical Properties Using Gaussian Mixture and Markov Random Field Prior Models. SEG Annual Meeting 2019, 9/15/2019 - 9/20/2020.
. A Flexible Markov Mesh Prior for Lithology/fluid Class Prediction. Petroleum Geostatistics 2019; Firenze, 9/2/2019 - 9/6/2019.
2018
. Probabilistic seismic inversion of facies and petrophysical properties using Gaussian mixture and Markov Chain prior models. 80th EAGE Conference & Exhibition 2018: W05 Seismic Inversion into Lithology/Fluid Classes, 6/9/2018 - 6/15/2018.
2017
. Bayesian inversion based on Gaussian mixture prior models with applications in reservoir characterisation. Spatial Statistics 2017: One World: One Health, 7/4/2017 - 7/7/2017.
. Hydrocarbon prediction from seismic AVO data – a case study from the Norwegian Sea. 26th Annual Conference of the Ethiopian Statistical Association, 3/25/2017 - 3/26/2017.
2016
. Convolved hidden Markov models with spatial coupling. Geostats2016; Valencia, 9/5/2016 - 9/9/2016.
2015
. Bayesian Gaussian mixture linear inversion in geophysical inverse problems. Petroleum Geostatistics 2015; Biarritz, 9/7/2015 - 9/11/2015.
Lecture
2020
. Joint Bayesian spatial inversion of lithology/fluid classes, petrophysical properties and elastic attributes – A Norwegian Sea gas discovery. EGU General Assembly 2020, 5/4/2020 - 5/8/2020.
2017
. Joint Seismic and Petrophysical Inversion Constrained by Facies in a Bayesian Framework. 79th EAGE Conference & Exhibition 2017, 6/12/2017 - 6/15/2017.
. Probabilistic inversion with a facies dependent rock physics model. 4th International Workshop on Rock Physics, 5/29/2017 - 6/2/2017.
Poster
2018
. Approximate Bayesian inference of model parameters in convolved hidden Markov models - with an application to seismic data. 2018 ISBA World Meeting; Edinburgh, 6/24/2018 - 6/29/2018.
2015
. Convolved hidden Markov models for well-log inversion. Petroleum Geostatistics 2015; Biarritz, 9/7/2015 - 9/11/2015.
Report
2022
. PCube Hybrid. Norsk Regnesentral. NR-notat SAND/04/22. pp 26. 2022.
. Seismic Tiles with application to 4D. Norsk Regnesentral. NR-notat SAND/07/22. pp 62. 2022.
. Estimate Reservoir Properties. Norsk Regnesentral. NR-notat SAND/08/22. pp 15. 2022.
2021
. Edvard Grieg 4D inversion results. Norsk Regnesentral. NR-notat SAND/16/21. pp 31. 2021.
. PCube User Manual Version 9.0. Norsk Regnesentral. NR-notat SAND/14/21. pp 109. 2021.
. Introducing a lateral model in PCube+. Norsk Regnesentral. NR-notat SAND/21/21. pp 38. 2021.
. Time alignment uncertainty in PCube and PCube+. Norsk Regnesentral. NR-notat SAND/06/21. pp 29. 2021.
. GIG annual meeting 2021 - Summary of 2020 and planned work for 2021. Norsk Regnesentral. NR-notat SAND/01/21. pp 35. 2021.
2020
. Lithology/fluid class prediction based on a lateral model. Norsk Regnesentral. NR-notat SAND/18/20. pp 78. 2020.
Interview
2022
. Tallknusere om FKHs sjanser: – Ser veldig lovende ut. 2022. h-avis.no [Internet] 10/15/2022.
. Så stor er sjansen for at Start rykker opp: – Vi kan vinne alle kampene. 2022. Fædrelandsvennen [Avis] 9/9/2022.
. Tallknuserne mener håpet i praksis er ute for KBK. 2022. Tidenes Krav [Avis] 9/7/2022.
. Norsk Regnesentral: 99,9 prosent sannsynlig at Brann rykker opp. 2022. Bergens Tidende [Avis] 8/10/2022. Fulltekst
. Tallknusernes dom: Disse tar medalje og disse rykker ned. 2022. nrk.no [Internet] 4/2/2022. Fulltekst
2021
. Live oppdatering av gull- og nedrykkssannsynligher. 2021. Discovery [TV] 10/3/2021.
. Tallene gir dårlig nytt for Rosenborg. Men eksperten er uenig. 2021. Adressavisen [Internet] 10/19/2021.
. Reagerer på tallknusernes spådom for RBK-gull: – Veldig uenig. 2021. Nidaros [Internet] 9/30/2021.
. Norsk Regnesentral: Over 50 prosent sjanse for direkte Brann-nedrykk. 2021. 9/25/2021.
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