Torstein Mæland Fjeldstad

Torstein Mæland Fjeldstad; Robustifying the PCube Hybrid model 2024. Report

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Bjørn Fjellvoll; Ragnar Hauge; et al. GIG annual meeting 2024 - summary of 2023 and planned work for 2024 2024. Report

Torstein Mæland Fjeldstad; Anders Løland; Hvis fotball er matematikk: Viking tar gullet , 2023. Media interview

Torstein Mæland Fjeldstad; 30, 30, 30, 30 og 30. Er det mulig??? 2023. Media interview

Torstein Mæland Fjeldstad; – MFK har skjebnen i egne hender 2023. Media interview

Torstein Mæland Fjeldstad; Har «spilt» de siste kampene 50.000 ganger – sjansen for et FFK-opprykk er enorm 2023. Media interview

Torstein Mæland Fjeldstad; Dette er tallene som sier Viking-gull: – Det er lov å drømme 2023. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Sjekk tallene - så stor er sjansen for at FKH spiller i Eliteserien neste år 2023. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknusernes dom: Dette er sannsynligheten for at KIL rykker opp 2023. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknuserens dom: Dette er sannsynligheten for at Start rykker opp 2023. Media interview

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Bjørn Fjellvoll; Ragnar Hauge; et al. PCube reference manual 2023. Report

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Bjørn Fjellvoll; Ragnar Hauge; et al. PCube User Manual version 10.0 2023. Report

Ragnar Hauge; Torstein Mæland Fjeldstad; Simultaneous inversion for LFCs, time shift and elastic parameters 2023. Report

Torstein Mæland Fjeldstad; Heidi Kjønsberg; Charlotte Juliette Sanchis; Eilif Solberg; Eyvind Aker; PCube Benchmark: a comparison of the PCube algorithms 2023. Report

Charlotte Juliette Sanchis; Eyvind Aker; Heidi Kjønsberg; Torstein Mæland Fjeldstad; PCube benchmark: QC analysis of PCube+ inversion setup model 2023. Report

Torstein Mæland Fjeldstad; PCube Hybrid 2022. Report

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Ragnar Hauge; Heidi Kjønsberg; et al. GIG annual meeting 2022 - Summary of 2021 and planned work for 2022 2022. Report

Torstein Mæland Fjeldstad; Marie Lilleborge; Carl-Inge Colombo Nilsen; Charlotte Juliette Sanchis; Ragnar Hauge; Seismic Tiles with application to 4D 2022. Report

Heidi Kjønsberg; Torstein Mæland Fjeldstad; Ragnar Hauge; Estimate Reservoir Properties 2022. Report

Torstein Mæland Fjeldstad; Anders Løland; Tallknusere om FKHs sjanser: – Ser veldig lovende ut 2022. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Så stor er sjansen for at Start rykker opp: – Vi kan vinne alle kampene 2022. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknuserne mener håpet i praksis er ute for KBK 2022. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Norsk Regnesentral: 99,9 prosent sannsynlig at Brann rykker opp , 2022. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknuserne uenige om Liverpools tittelsjanser , 2022. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallknusernes dom: Disse tar medalje og disse rykker ned , 2022. Media interview

Per Røe; Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Ragnar Hauge; et al. GIG annual meeting 2021 - Summary of 2020 and planned work for 2021 2021. Report

Torstein Mæland Fjeldstad; Anders Løland; Live oppdatering av gull- og nedrykkssannsynligher 2021. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Reagerer på tallknusernes spådom for RBK-gull: – Veldig uenig 2021. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Norsk Regnesentral: Over 50 prosent sjanse for direkte Brann-nedrykk 2021. Media interview

Torstein Mæland Fjeldstad; Anders Løland; Tallene gir dårlig nytt for Rosenborg. Men eksperten er uenig 2021. Media interview

Torstein Mæland Fjeldstad; Introducing a lateral model in PCube+ 2021. Report

Torstein Mæland Fjeldstad; Eyvind Aker; Time alignment uncertainty in PCube and PCube+ 2021. Report

Eyvind Aker; Daniel Martin L Barker; Torstein Mæland Fjeldstad; Ragnar Hauge; Heidi Kjønsberg; et al. PCube User Manual Version 9.0 2021. Report

Torstein Mæland Fjeldstad; Per Åge Avseth; Henning Omre; Per Røe; Ragnar Hauge; Spatial Bayesian lithology/fluid class inversion 2021. Scientific lecture

Heidi Kjønsberg; Ragnar Hauge; Torstein Mæland Fjeldstad; Carl-Inge Colombo Nilsen; Edvard Grieg 4D inversion results 2021. Report

Torstein Fjeldstad; Per Åge Avseth; Henning Omre; A one-step Bayesian inversion framework for 3D reservoir characterization based on a Gaussian mixture model-A Norwegian Sea demonstration Geophysics, pp. R221 R236 , doi: https://doi.org/10.1190/geo2020-0094.1 , 2021. Scientific article

Torstein Mæland Fjeldstad; Per Røe; Ragnar Hauge; Lithology/fluid class prediction based on a lateral model 2020. Report

Torstein Mæland Fjeldstad; Henning Omre; Joint Bayesian spatial inversion of lithology/fluid classes, petrophysical properties and elastic attributes – A Norwegian Sea gas discovery 2020. Lecture

Håkon Tjelmeland; Xin Luo; Torstein Mæland Fjeldstad; A Bayesian model for lithology/fluid class prediction using a Markov mesh prior fitted from a training image Geophysical Prospecting, pp. 609 623 , doi: https://doi.org/10.1111/1365-2478.12753 , 2019. Scientific article

Håkon Tjelmeland; Xin Luo; Torstein Mæland Fjeldstad; A Flexible Markov Mesh Prior for Lithology/fluid Class Prediction 2019. Scientific lecture

Torstein Mæland Fjeldstad; Henning Omre; Bayesian Inversion of Convolved Hidden Markov Models With Applications in Reservoir Prediction IEEE Transactions on Geoscience and Remote Sensing, pp. 1957 1968 , doi: https://doi.org/10.1109/TGRS.2019.2951205 , 2019. Scientific article

Per Åge Avseth; Torstein Mæland Fjeldstad; Joint Probabilistic Seismic Inversion of Lithology/Fluid Classes and Petrophysical Properties Using Gaussian Mixture and Markov Random Field Prior Models 2019. Scientific lecture

Torstein Mæland Fjeldstad; Dario Grana; Joint probabilistic petrophysics-seismic inversion based on Gaussian mixture and Markov chain prior models Geophysics, pp. R31 R42 , doi: https://doi.org/10.1190/GEO2017-0239.1 , 2018. Scientific article

Torstein Mæland Fjeldstad; Per Åge Avseth; Probabilistic seismic inversion of facies and petrophysical properties using Gaussian mixture and Markov Chain prior models 2018. Scientific lecture

Torstein Mæland Fjeldstad; Jo Eidsvik; Approximate Bayesian inference of model parameters in convolved hidden Markov models - with an application to seismic data 2018. Poster

Dario Grana; Torstein Mæland Fjeldstad; Henning Omre; Bayesian Gaussian Mixture Linear Inversion for Geophysical Inverse Problems Mathematical Geosciences, pp. 493 515 , doi: https://doi.org/10.1007/s11004-016-9671-9 , 2017. Scientific article

Torstein Mæland Fjeldstad; Per Åge Avseth; Joint Seismic and Petrophysical Inversion Constrained by Facies in a Bayesian Framework 2017. Lecture

Torstein Mæland Fjeldstad; Per Åge Avseth; Probabilistic inversion with a facies dependent rock physics model 2017. Lecture

Torstein Mæland Fjeldstad; Henning Omre; Hydrocarbon prediction from seismic AVO data – a case study from the Norwegian Sea 2017. Scientific lecture

Torstein Mæland Fjeldstad; Henning Omre; Bayesian inversion based on Gaussian mixture prior models with applications in reservoir characterisation 2017. Scientific lecture

Torstein Mæland Fjeldstad; Henning Omre; Convolved hidden Markov models with spatial coupling 2016. Scientific lecture

Torstein Mæland Fjeldstad; Henning Omre; Convolved hidden Markov models for well-log inversion 2015. Poster

Dario Grana; Torstein Mæland Fjeldstad; Henning Omre; Bayesian Gaussian mixture linear inversion in geophysical inverse problems 2015. Scientific lecture