GeoPrior1D: An application for generating 1D geological and geophysical realizations of the subsurface

GeoPrior1D is an open-source tool for generating ensembles of one-dimensional (1D) geological and geophysical models that explicitly represent prior models for probabilistic inversion. Instead of relying on analytical prior expressions, GeoPrior1D defines priors through a probabilistic generator that produces random 1D realizations consistent with user-specified geological rules. These rules capture conceptual understanding of subsurface architecture — such as geological successions, layer thickness distributions, lithology–resistivity relationships, and groundwater levels corresponding to different geological settings. The resulting ensemble forms a statistically defined prior model that can be directly used in probabilistic inversion or uncertainty analysis. GeoPrior1D includes a graphical interface for configuration and visualization. It outputs reproducible HDF5 files and is implemented in MATLAB and Python under the MIT license. Together, these elements provide a transparent and flexible framework for linking geological knowledge with quantitative geophysical modeling.

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Publication Details

Journal
SoftwareX
Published
2026-04-17
DOI
https://doi.org/10.1016/j.softx.2026.102654
Primary Topic
Geological Modeling and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

GeoPrior1D: An application for generating 1D geological and geophysical realizations of the subsurface

Jesper Nørgaard, Ingelise Møller, Rasmus Bødker Madsen, Anne-Sophie Høyer et al.
SoftwareX
Geological Modeling and Analysis
article

GeoPrior1D: An application for generating 1D geological and geophysical realizations of the subsurface

Jesper Nørgaard, Ingelise Møller, Rasmus Bødker Madsen, Anne-Sophie Høyer, Thomas Mejer Hansen
article en

Abstract

GeoPrior1D is an open-source tool for generating ensembles of one-dimensional (1D) geological and geophysical models that explicitly represent prior models for probabilistic inversion. Instead of relying on analytical prior expressions, GeoPrior1D defines priors through a probabilistic generator that produces random 1D realizations consistent with user-specified geological rules. These rules capture conceptual understanding of subsurface architecture — such as geological successions, layer thickness distributions, lithology–resistivity relationships, and groundwater levels corresponding to different geological settings. The resulting ensemble forms a statistically defined prior model that can be directly used in probabilistic inversion or uncertainty analysis. GeoPrior1D includes a graphical interface for configuration and visualization. It outputs reproducible HDF5 files and is implemented in MATLAB and Python under the MIT license. Together, these elements provide a transparent and flexible framework for linking geological knowledge with quantitative geophysical modeling.

SoftwareXVol. 34
Aarhus University (DK), Geological Survey of Denmark and Greenland (DK)
Innovationsfonden
Openalex Percentile: Top 17%
Geological Modeling and Analysis
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GeoPrior1D: An application for generating 1D geological and geophysical realizations of the subsurface — Jesper Nørgaard, Ingelise Møller, et al. · SoftwareX (2026) | TGRS Research Map | TGRS