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Publications by department

Publications by department

Department: SAND
Period: 2018 - 2018

    Academic journal articles

    2018

    Lilleborge, Marie; Hofvind, Solveig; Sebuødegård, Sofie; Hauge, Ragnar. Optimizing performance of BreastScreen Norway using value of information in graphical models. Statistics in Medicine (ISSN 0277-6715). 37(9) pp 1531-1549. doi: 10.1002/sim.7601. 2018.

    Academic chapters

    2018

    Abrahamsen, Petter; Kvernelv, Vegard Berg; Barker, Daniel Martin L. Simulation of Gaussian Random Fields Using the Fast Fourier Transform (FFT). In: ECMOR XVI - 16th European Conference on the Mathematics of Oil Recovery, 3–6 September 2018, Barcelona, Spain. (ISBN 978-94-6282-260-3). doi: 10.3997/2214-4609.201802134. 2018.

    Academic lectures

    2018

    Aarnes, Ingrid. Traversing the gap from sedimentary process models to facies modeling. Konferanse, Gussow Conference - Closing the Gap III; Lake Louise, Alberta, 08.10.2018 - 11.10.2018.

    Aker, Eyvind; Kjønsberg, Heidi; Røe, Per; Kjøsnes, Øyvind. Probabilistic inversion into lithology and fluid classes in the North Sea – Comparison of one- and two-step approach. Konferanse, EAGE Annual 80th Conference and Exhibition; København, 11.06.2018 - 14.06.2018.

    Goodwin, Håvard; Røe, Per. Fault Uncertainty Modelling. Seminar, Challenges related to Fault Modelling Workflows; Stavanger, 20.06.2018.

    Vevle, Markus Lund; Aarnes, Ingrid; Ledsaak, Karina; Hauge, Ragnar; Skorstad, Arne. Facies Modelling of a Real-Life Fluvial System Using a Modern Object-Based Algorithm. Konferanse, 80th EAGE Conference and Exhibition 2018; Copenhagen, 11.06.2018.

    Reports

    2018

    Aarnes, Ingrid; Almendral Vazquez, Ariel; Dahle, Pål. Valhall structural model with COHIBA. Norsk Regnesentral, . NR-notat SAND/12/18. pp 71. 2018.

    Abrahamsen, Petter; Almendral Vazquez, Ariel; Dahle, Pål; Kvernelv, Vegard Berg; Sektnan, Audun. Cohiba User Manual Version 5.6. Norsk Regnesentral, Oslo. NR-notat SAND/07/2018. pp 225. 2018.

    Aker, Eyvind; Barker, Daniel Martin L. User Manual: Rock Physics Prior Modelling GUI. Norsk Regnesentral, . NR-notat SAND/13/18. pp 18. 2018.

    Almendral Vazquez, Ariel; Sektnan, Audun; Dahle, Pål. Valhall study using Cohiba. Norsk Regnesentral, Oslo. NR-notat SAND/06/18. 2018.

    Dahle, Pål; Almendral Vazquez, Ariel; Abrahamsen, Petter. COHIBA and velocity models linear in depth. Norsk Regnesentral, . NR-notat SAND/08/2018. pp 12. 2018.

    Goodwin, Håvard; Aarnes, Ingrid; Hauge, Ragnar. Deep marine modelling with RMS on Karoo. Norsk Regnesentral, . NR-notat SAND/02/18. pp 47. 2018.

    Hauge, Ragnar; Sanchis, Charlotte Juliette; Aker, Eyvind. Testing of PCube+. Norsk Regnesentral, . NR-notat SAND/10/18. pp 21. 2018.

    Kvernelv, Vegard Berg; Barker, Daniel Martin L; Abrahamsen, Petter. Simulation of Gaussian Random Fields Using the Fast Fourier Transform. Norsk Regnesentral, . NR-notat SAND/04/18. pp 33. 2018.

    Nilsen, Carl-Inge Colombo. PCube+ Command Line User Manual. Norsk Regnesentral Oslo, . NR-notat SAND/11/2018. pp 12. 2018.

    Røe, Per. GIG annual meeting 2018 - Summary of 2017 planned work for 2018. Norsk Regnesentral, Oslo, Norge. NR-notat SAND/01/2018. pp 22. 2018.

    Røe, Per; Goodwin, Håvard; Aker, Eyvind; Zdanowicz, Hanna Marta; Kvernelv, Vegard Berg. HAVANA user manual. Norsk Regnesentral, Oslo. NR-notat SAND/03/18. pp 175. 2018.

    Røe, Per; Aker, Eyvind; Rummelhoff, Ivar; Hauge, Ragnar; Kjønsberg, Heidi; Barker, Daniel Martin L; Sanchis, Charlotte Juliette. This is a user manual for PCube. PCube is a seismic inversion software that computes lithology and fluid probabilities from seismic AVO data. Norsk Regnesentral, Oslo, Norge. NR-notat SAND/05/18. pp 72. 2018.

    Sanchis, Charlotte Juliette; Hauge, Ragnar; Røe, Per. Direct inversion for horizon location. Norsk Regnesentral, . NR-notat SAND/09/18. pp 53. 2018.

    Sanchis, Charlotte Juliette; Hauge, Ragnar. PCube+: Focused inversion testing. Norsk Regnesentral, . NR-notat SAND/14/18. pp 23. 2018.

Postal address:
Norsk Regnesentral/
Norwegian Computing Center
P.O. Box 114 Blindern
NO-0314 Oslo
Norway
Visit address:
Norsk Regnesentral
Gaustadalleen 23a
Kristen Nygaards hus
NO-0373 Oslo.
Phone:
(+47) 22 85 25 00
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Postal address: Norsk Regnesentral/Norwegian Computing Center, P.O. Box 114 Blindern, NO-0314 Oslo, Norway
Visit address: Norsk Regnesentral, Gaustadalleen 23a, Kristen Nygaards hus, NO-0373 Oslo.
Phone: (+47) 22 85 25 00
AddressHow to get to NR