Daniel Barker

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. Rapport

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

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

Eyvind Aker; Daniel Martin L Barker; Heidi Kjønsberg; Carl-Inge Colombo Nilsen; Bjørn Fjellvoll; Improved reservoir property inversion and QC 2023. Rapport

Daniel Martin L Barker; Generalized focused inversion for PCube+ 2023. Rapport

Daniel Martin L Barker; Removal of implicit zone-lithology fluid classes from PCube+ inversion 2023. Rapport

Daniel Martin L Barker; PCube+ FFT Likelihood calculation method 2023. Rapport

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. Rapport

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretation, Development and experiments 2021-2022 2022. Rapport

Daniel Martin L Barker; MAP estimate of elastic parameters 2022. Rapport

Daniel Martin L Barker; Exact single trace inversion 2022. Rapport

Vegard Berg Kvernelv; Daniel Martin L Barker; Grunnvannsmodellering med RMS og MODFLOW6 2021. Rapport

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. Rapport

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

Eyvind Aker; Charlotte Juliette Sanchis; Per Røe; Heidi Kjønsberg; Daniel Martin L Barker; et al. PCube Reference Manual 2021. Rapport

Per Røe; Eyvind Aker; Daniel Martin L Barker; Ragnar Hauge; Heidi Kjønsberg; et al. PCube+ User Manual Version 8.0 2020. Rapport

Per Røe; Ragnar Hauge; Eyvind Aker; Daniel Martin L Barker; Carl-Inge Colombo Nilsen; et al. GIG annual meeting 2020 Summary of 2019 and planned work for 2020 2020. Rapport

Eyvind Aker; Charlotte Juliette Sanchis; Per Røe; Heidi Kjønsberg; Daniel Martin L Barker; et al. PCube Reference Manual 2020. Rapport

Line Eikvil; Anders U. Waldeland; Daniel Martin L Barker; Marit Holden; Ragnar Hauge; et al. Deep learning in seismic interpretations - Development and experiments 2020 2020. Rapport

Line Eikvil; Anders U. Waldeland; Marit Holden; Arnt Børre Salberg; Ragnar Hauge; et al. Deep learning in seismic interpretation 2019. Rapport

Charlotte Juliette Sanchis; Carl-Inge Colombo Nilsen; Daniel Martin L Barker; Deep learning for seismic processing and condition monitoring 2019. Rapport

Per Røe; Ragnar Hauge; Eyvind Aker; Daniel Martin L Barker; Carl-Inge Colombo Nilsen; et al. GIG annual meeting 2019 - Summary of 2018 and planned work for 2019 2019. Rapport

Petter Abrahamsen; Vegard Berg Kvernelv; Daniel Martin L Barker; Simulation of Gaussian Random Fields Using the Fast Fourier Transform (FFT) pp. 14 , doi: https://doi.org/10.3997/2214-4609.201802134 , 2018. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Eyvind Aker; Daniel Martin L Barker; User Manual: Rock Physics Prior Modelling GUI 2018. Rapport

Per Røe; Eyvind Aker; Ivar Rummelhoff; Ragnar Hauge; Heidi Kjønsberg; et al. This is a user manual for PCube. PCube is a seismic inversion software that computes lithology and fluid probabilities from seismic AVO data. 2018. Rapport

Vegard Berg Kvernelv; Daniel Martin L Barker; Petter Abrahamsen; Simulation of Gaussian Random Fields Using the Fast Fourier Transform 2018. Rapport

Daniel Martin L Barker; PCube+ Forward Modelling QC User Manual 2017. Rapport

Eyvind Aker; Daniel Martin L Barker; User Manual: Rock Physics Prior Modelling GUI 2017. Rapport

Daniel Martin L Barker; Martin Landrø; An alternative method for modeling close-range interactions between air guns Geophysics, pp. 1 7 6 , doi: https://doi.org/10.1190/geo2013-0141.1 , 2014. Vitenskapelig artikkel

Daniel Martin L Barker; Martin Landrø; Estimation of bubble time period for air-gun clusters using potential isosurfaces Geophysics, pp. P1 P7 7 , doi: https://doi.org/10.1190/GEO2012-0344.1 , 2013. Vitenskapelig artikkel

Daniel Martin L Barker; Martin Landrø; Modeling close range air gun interactions using isosurfaces of the velocity potential Society of Exploration Geophysicists. Expanded Abstracts with Biographies, pp. 46 50 , doi: https://doi.org/10.1190/segam2013-0489.1 , 2013. Vitenskapelig artikkel

Daniel Martin L Barker; Martin Landrø; Simple expression for the bubble-time period of two clustered air guns Geophysics, pp. A1 A3 3 , doi: https://doi.org/10.1190/GEO2011-0169.1 , 2012. Vitenskapelig artikkel

Daniel Martin L Barker; Martin Landrø; Controlled source strength variation by changing the firing pressure - a sensitivity study for 4D calibration Geophysical Prospecting, pp. 480 487 8 , doi: https://doi.org/10.1111/j.1365-2478.2011.01044.x , 2012. Vitenskapelig artikkel

Martin Landrø; Lasse Amundsen; Daniel Martin L Barker; High-frequency signals from air-gun arrays Geophysics, pp. Q19 Q27 9 , doi: https://doi.org/10.1190/1.3590215 , 2011. Vitenskapelig artikkel

Daniel Martin L Barker; Martin Landrø; Controlled Source Strength Variation by Changing the Firing Pressure - A Sensitivity Study for 4D Calibration pp. 5 , 2009. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel