Articles | Volume 14, issue 10
https://doi.org/10.5194/gmd-14-6197-2021
© Author(s) 2021. 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-14-6197-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
15 Oct 2021
Development and technical paper |
| 15 Oct 2021
| 15 Oct 2021
Modelling of faults in LoopStructural 1.0
Lachlan Grose
CORRESPONDING AUTHOR
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
Laurent Ailleres
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
Gautier Laurent
Université d'Orléans, CNRS, BRGM, ISTO, UMR 7327, Orleans, France
Guillaume Caumon
Université de Lorraine, CNRS, GeoRessources, 54000 Nancy, France
Mark Jessell
Centre for Exploration Targeting, School of Earth and Environment, The University of Western Australia, Perth, Western Australia, Australia
Robin Armit
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
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- A deep learning-driven three-dimensional geological modeling method using sparse borehole sampling data Z. He et al. 10.1016/j.measurement.2025.118461
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- Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. 10.1007/s10064-024-03794-8
- A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW K. Bardot et al. 10.1016/j.envsoft.2025.106557
- DeepISMNet: three-dimensional implicit structural modeling with convolutional neural network Z. Bi et al. 10.5194/gmd-15-6841-2022
- The influence of variable anisotropic search parameters on implicitly-modelled volumes and estimated contained metal in a structurally-complex gold deposit B. Stoch et al. 10.1016/j.oregeorev.2022.104719
- Structural geologic modeling and restoration using ensemble Kalman inversion D. Oakley et al. 10.1016/j.jsg.2023.104868
- Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al. 10.1016/j.cageo.2023.105419
- Fault-sketch: A framework for modeling geological faults and displacements A. Banaeizadeh et al. 10.1016/j.cag.2024.103920
- AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling B. Zhang et al. 10.5194/gmd-16-3651-2023
- Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al. 10.1016/j.cageo.2024.105779
- Three-Dimensional Geologic Modeling of the Kiruna Mining District, Sweden: Insights into the Crustal Architecture and Structural Controls on Iron Oxide-Apatite Mineralization E. Veress et al. 10.5382/econgeo.5080
- Fault representation in structural modelling with implicit neural representations K. Gao & F. Wellmann 10.1016/j.cageo.2025.105911
Latest update: 19 Oct 2025
Short summary
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.
Fault discontinuities in rock packages represent the plane where two blocks of rock have moved....
