Ingrid Aarnes

Agustin Arguello Scotti; Ingrid Aarnes; Christian Haug Eide; Jacob Skauvold; Ragnar Hauge; Modeling Shoreface Geometries of the Kenilworth Member, Blackhawk Formation, with the Geopard Algorithm 2023. Vitenskapelig foredrag

Agustin Arguello Scotti; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Christian Haug Eide; et al. Next generation reservoir modelling algortithms - Shallow marine environments 2023. Vitenskapelig foredrag

Agustin Arguello Scotti; Christian Haug Eide; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; et al. From Concept to Reservoir Modelling: The Record of Tide-dominated, Progradational Shoreline Systems 2023. Poster

Ingrid Aarnes; Data in abundance, but how do we turn it into information? 2023. Faglig foredrag

Ingrid Aarnes; Agustin Arguello Scotti; Jacob Skauvold; Ragnar Hauge; Christian Haug Eide; Modelling shoreface geometries with a new facies-algorithm informed by geological rules and analogue data 2023. Faglig foredrag

Federica Ghione; Andreas Köhler; Anna Maria Dichiarante; Ingrid Aarnes; Volker Oye; Vs30 and depth to bedrock estimates from integrating HVSR measurements and geology-slope approach in the Oslo area, Norway Frontiers in Earth Science, vol. 11, pp. 19 , (ISSN 2296-6463 2296-6463 ), doi: https://doi.org/10.3389/feart.2023.1242679 , 2023. Vitenskapelig artikkel

Ingrid Aarnes; Valhall 5B model report 2023. Rapport

Agustin Arguello Scotti; Ingrid Aarnes; Christian Haug Eide; Jacob Skauvold; Ragnar Hauge; Testing a rule-based approach for reservoir modelling of shoreface successions: the GEOPARD algorithm 2022. Vitenskapelig foredrag

Ingrid Aarnes; Valhall Phase 3 - Decompaction and model update 2022. Rapport

Audun Sektnan; Ariel Almendral Vazquez; Ragnar Hauge; Ingrid Aarnes; Jacob Skauvold; et al. A Tree Representation of Plurigaussian Truncation Rules ECMOR Proceedings, vol. 2022, pp. 17 , doi: https://doi.org/10.3997/2214-4609.202244066 , 2022. Vitenskapelig artikkel

Oscar Ovanger; Jo Eidsvik; Jacob Skauvold; Ragnar Hauge; Ingrid Aarnes; A rule-based reservoir stacking model with effective well conditioning 2022. Faglig foredrag

Ingrid Aarnes; Ragnar Hauge; Modelling fluvial environments 2022. Faglig foredrag

Ingrid Aarnes; Ragnar Hauge; Agustin Arguello Scotti; Jacob Skauvold; The Geopard project 2022. Vitenskapelig foredrag

Agustin Arguello Scotti; Christian Haug Eide; Ingrid Aarnes; Jacob Skauvold; Ragnar Hauge; Defining the basic rules that describe long-term shoreface dynamics: A process-mimicking approach for reservoir modelling 2022. Vitenskapelig foredrag

Audun Sektnan; Ariel Almendral Vazquez; Ragnar Hauge; Ingrid Aarnes; Jacob Skauvold; et al. A Tree Representation of Plurigaussian Truncation Rules pp. 17 , doi: https://doi.org/10.3997/2214-4609.202244066 , 2022. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Vegard Berg Kvernelv; Ingrid Aarnes; Petter Abrahamsen; Geostatistisk kartlegging av løsmasser 2021. Rapport

Petter Abrahamsen; Pål Dahle; Vegard Berg Kvernelv; Audun Sektnan; Ariel Almendral Vazquez; et al. COHIBA User Manual Version 6.1 2020. Rapport

Pål Dahle; Ingrid Aarnes; Petter Abrahamsen; Ariel Almendral Vazquez; Audun Sektnan; Increasing subsurface accuracy with COHIBA by taking advantage of resistivity contrasts 2019. Rapport

Petter Abrahamsen; Pål Dahle; Vegard Berg Kvernelv; Audun Sektnan; Ariel Almendral Vazquez; et al. COHIBA User Manual Version 6.0 2019. Rapport

Ingrid Aarnes; Ariel Almendral Vazquez; Pål Dahle; COHIBA in fault blocks on Valhall 2019. Rapport

Ariel Almendral Vazquez; Ingrid Aarnes; Petter Abrahamsen; Application of NR’s Solutions to Geothermal Reservoir Characterization 2019. Rapport

Ingrid Aarnes; Helena van der Vegt; Ragnar Hauge; Bjørn Fjellvoll; Kjetil Nordahl; Utilizing sedimentary process-based models as training images for multipoint facies simulations Bulletin of Canadian petroleum geology, vol. 67, pp. 217 230 , (ISSN 0007-4802 ), doi: https://doi.org/10.35767/gscpgbull.67.4.217 , 2019. Vitenskapelig artikkel

Carla Patricia Bárbara; Patrícia Cabello; Alexandre Bouche; Ingrid Aarnes; Carlos Gordillo; et al. Quantifying the impact of the structural uncertainty on the gross rock volume in the Lubina and Montanazo oil fields (Western Mediterranean) Solid Earth (SE), vol. 10, pp. 1597 1619 , (ISSN 1869-9510 1869-9529 ), doi: https://doi.org/10.5194/se-10-1597-2019 , 2019. Vitenskapelig artikkel

Ingrid Aarnes; Ariel Almendral Vazquez; Pål Dahle; Valhall structural model with COHIBA 2018. Rapport

Håvard Goodwin; Ingrid Aarnes; Ragnar Hauge; Deep marine modelling with RMS on Karoo 2018. Rapport

Markus Lund Vevle; Ingrid Aarnes; Karina Ledsaak; Ragnar Hauge; Arne Skorstad; Facies modelling of a real-life fluvial system using a modern object-based algorithm 2018. Vitenskapelig foredrag

Ingrid Aarnes; Traversing the gap from sedimentary process models to facies modeling. 2018. Vitenskapelig foredrag

Frode Stordal; Henrik Svensen; Ingrid Aarnes; Marco Roscher; Global temperature response to century-scale degassing from the Siberian Traps Large igneous province Palaeogeography, Palaeoclimatology, Palaeoecology, vol. 471, pp. 96 107 , (ISSN 0031-0182 1872-616X ), doi: https://doi.org/10.1016/j.palaeo.2017.01.045 , 2017. Vitenskapelig artikkel

Ingrid Aarnes; Bjørn Fjellvoll; Helena van der Vegt; Kjetil Nordahl; Using sedimentary process models to assist reservoir facies modeling 2017. Faglig foredrag

Ingrid Aarnes; Bjørn Fjellvoll; Ragnar Hauge; Utilizing process-based models in facies modelling workflows 2017. Rapport

Ingrid Aarnes; Ragnar Hauge; Applying Truncated Gaussian Fields to describe geology 2017. Vitenskapelig foredrag

Håvard Goodwin Olsen; Ingrid Aarnes; Ragnar Hauge; Panther Tongue Modelling with RMS – Part III 2016. Rapport

Ingrid Aarnes; Ragnar Hauge; Truncated Gaussian Simulation - Comparison of methodologies 2016. Rapport