Three new articles contribute to improving subsurface mapping

Published 18-05-2026
News

The three articles were developed within the project INTEGRATE, which aims to improve subsurface mapping via probabilistic integration of geological and geophysical data and knowledge.

The figure from the INTEGRATE projects shows how the project aims to include different approaches to improve subsurface mapping. (INTEGRATE, edit by Anne-Sophie Høyer, GEUS)

The INTEGRATE project focuses on improving subsurface mapping through probabilistic integration of geological and geophysical data and knowledge. Three newly published papers contribute to making probabilistic inversion workflows more robust, flexible and easier to apply in practice.

The articles are:

  • Quantifying and Incorporating Lithological Well Logging as Uncertain Data in Probabilistic Inverse Problems.
    By Jesper Nørgaard, Rasmus Bødker Madsen, Anne-Sophie Høyer, Ingelise Møller and Thomas Mejer Hansen.
    doi.org/10.1007/s11004-026-10298-6
    Published in Mathematical Geosciences (Springer).

    The paper introduces a framework for incorporating lithological borehole information as uncertain data in probabilistic inversion workflows.

  • A probabilistic approach to establishing the resistivity-lithology relationship using co-located tTEM data and lithological logs.
    By Signe Nielsen, Rasmus Bødker Madsen, Thomas Mejer Hansen, Jesper Nørgaard, Ingelise Møller, Anne-Sophie Høyer.
    doi.org/10.1016/j.jappgeo.2026.106245
    Published in Journal of Applied Geophysics.

    The paper  presents a new method for improving the resistivity–lithology relationships based on co-located tTEM data and borehole logs.

  • GeoPrior1D: An application for generating 1D geological and geophysical realizations of the subsurface.
    By Jesper Nørgaard, Rasmus Bødker Madsen, Ingelise Møller, Thomas Mejer Hansen and Anne-Sophie Høyer.
    doi.org/10.1016/j.softx.2026.102654
    Published in SoftwareX.

    The paper presents an open-source software tool for easy generation of geological priors, enabling incorporation of geological knowledge into probabilistic inversion workflows.

The three papers were developed within INTEGRATE Work Package 3, ‘Statistical Description and Geological Knowledge’, lead by Anne-Sophie Høyer Christensen with contributions from researchers at GEUS and Aarhus University and in collaboration with project partners including IGIS A/S, WSP Denmark and Central Denmark Region.

INTEGRATE stands for ‘Informative Mapping of Construction Aggregate Resources Through Statistical data Analysis’, and the project aimed to allow more informative mapping of aggregate resources using electromagnetic (EM) measurements and using a probabilistic approach to achieve a more data-driven approach to subsurface mapping to better inform decision making.

Visit the INTEGRATE project website at integrate.nu

The INTEGRATE project is running from January 2023 - December 2026 and receives funding from Innovation Fund Denmark.

The project partners are:

  • I-GIS A/S (project lead)
  • Department of Geoscience, Aarhus University
  • SGU
  • WSP Danmark
  • Università degli Studi di Cagliari
  • Region Midtjylland
  • Region Syddanmark
  • GEUS
Anne-Sophie Høyer Christensen
Senior Researcher
Near Surface Land and Marine Geology
Phone+45 51282839
Publications
Malene David Jensen-Juul
Special Consultant
Press and Communication
Phone+45 91333944
Publications