geosteering.no aggregates world-leading research in all aspects of geosteering hosted by NORCE.

We publish updates on the last wave of projects started in 2023 supported by the Research Council of Norway:

  • 3D-GiG 3D geological interpretation for geosteering of wells
  • DISTINGUISH Decision support using neural networks to predict geological uncertainties when geosteering

  • Address: Nygårdsgaten 112, 5008 Bergen
  • Contact: Sergey Alyaev saly@norceresearch.no

People

  • Sergey Alyaev

    Senior Researcher, NORCE
    PI, Distinguish

    Using deep learning for real-time data assimilation and optimization

  • Nazanin Jahani

    Senior Researcher, NORCE
    PI, 3D GiG

    Numerical modelling applied in geophysical applications

  • Kristian Fossum

    Senior Researcher, NORCE

    Data assimilation and machine learning with a focus on reservoir applications

  • Jan Tveranger

    Senior Researcher, NORCE

    Expertise in geological modeling and uncertainty analysis in reservoir characterization

  • Bjarte Lønøy

    Senior Researcher, NORCE

    Expertise in carbonate sedimentology, geological modeling, reservoir characterization and karst/paleokarst

  • Durra Handri Saputera

    PhD Candidate, University of Bergen

    Specializes in 3D modeling and integral equation methods

  • Ressi Bonti Muhammad

    PhD Candidate, University of Stavanger

    Focus on Sequential Decision Analysis, Drilling, Geosteering.

  • Aigul Taimour Alvi

    PhD Candidate, University of Stavanger

    Decision Analysis, 3D geological interpretation for geosteering of wells using ML.

  • Reidar B. Bratvold

    Professor, University of Stavanger

    Expert in Petroleum Investment and Decision Analysis

  • Hibat Errahmen Djecta

    PhD Candidate, NORCE Bergen

    PhD Candidate

  • Nello Blaser

    Associate Professor, Department of Informatics, University of Bergen

    Topological and geometric methods in Machine Learning.

  • Heebah Saleem

    PhD Candidate, Department of Informatics, University of Bergen

    Machine Learning and Deep Learning focused on Geological Uncerntainities.