Articles | Volume 19, issue 14
https://doi.org/10.5194/gmd-19-6517-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-6517-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Interpretation and representation in geomodels: the POKIMON ontology for formalizing geomodelling knowledge
Imadeddine Laouici
CORRESPONDING AUTHOR
ISTO, UMR 7327, Université d'Orléans, CNRS, BRGM, OSUC, 45071 Orléans, France
BRGM, Orléans, 45060, France
Boyan Brodaric
Geological Survey of Canada, Natural Resources Canada, 601 Booth Street, Ottawa, ON K1A 0E8, Canada
Christelle Loiselet
BRGM, Orléans, 45060, France
now at: Institut de Recherche de la Construction, ESTP, 28 Avenue du Président Wilson, 94230, Cachan, France
Gautier Laurent
ISTO, UMR 7327, Université d'Orléans, CNRS, BRGM, OSUC, 45071 Orléans, France
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Marion N. Parquer, Eric A. de Kemp, Boyan Brodaric, and Michael J. Hillier
Geosci. Model Dev., 18, 71–100, https://doi.org/10.5194/gmd-18-71-2025, https://doi.org/10.5194/gmd-18-71-2025, 2025
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This is a proof-of-concept paper outlining a general approach to how 3D geological models would be checked to be geologically
reasonable. We do this with a consistency-checking tool that looks at geological feature pairs and their spatial, temporal, and internal polarity characteristics. The idea is to assess if geological relationships from a specific 3D geological model match what is allowed in the real world from the perspective of geological principles.
Thomas Pereira, Laurent Arbaret, Juan Andújar, Mickaël Laumonier, Monica Spagnoli, Charles Gumiaux, Gautier Laurent, Aneta Slodczyk, and Ida Di Carlo
Eur. J. Mineral., 36, 491–524, https://doi.org/10.5194/ejm-36-491-2024, https://doi.org/10.5194/ejm-36-491-2024, 2024
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This work presents the results on deformation-enhanced melt segregation and extraction in a phonolitic magma emplaced at shallow depth in the Velay volcanic province (France). We provide evidence of the segregation and subsequent extraction of the residual melt during magma ascent and final emplacement. We highlight that melt segregation started by compaction as a loose packing of microlites emerged and continued with melt filling of a shear band network.
Michael Hillier, Florian Wellmann, Eric A. de Kemp, Boyan Brodaric, Ernst Schetselaar, and Karine Bédard
Geosci. Model Dev., 16, 6987–7012, https://doi.org/10.5194/gmd-16-6987-2023, https://doi.org/10.5194/gmd-16-6987-2023, 2023
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Neural networks can be used effectively to model three-dimensional geological structures from point data, sampling geological interfaces, units, and structural orientations. Existing neural network approaches for this type of modelling are advanced by the efficient incorporation of unconformities, new knowledge inputs, and improved data fitting techniques. These advances permit the modelling of more complex geology in diverse geological settings, different-sized areas, and various data regimes.
Lachlan Grose, Laurent Ailleres, Gautier Laurent, Guillaume Caumon, Mark Jessell, and Robin Armit
Geosci. Model Dev., 14, 6197–6213, https://doi.org/10.5194/gmd-14-6197-2021, https://doi.org/10.5194/gmd-14-6197-2021, 2021
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Fault discontinuities in rock packages represent the plane where two blocks of rock have moved. They are challenging to incorporate into geological models because the geometry of the faulted rock units are defined by not only the location of the discontinuity but also the kinematics of the fault. In this paper, we outline a structural geology framework for incorporating faults into geological models by directly incorporating kinematics into the mathematical framework of the model.
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Short summary
3D geoscience models lack transparency about the interpretation process and the assumption to model and represent geological entities, limiting explainability, reproducibility, and automation. To address this, we present POKIMON (Processes, Observations, Knowledge, Information, and Modelling ONtology), an ontology that formalizes the expert knowledge, interpretative aspects, and geological entities descriptions underlying 3D geomodelling, enhancing understanding, transparency, and knowledge-driven automation.
3D geoscience models lack transparency about the interpretation process and the assumption to...