Articles | Volume 17, issue 5
https://doi.org/10.5194/gmd-17-1975-2024
© Author(s) 2024. 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-17-1975-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
05 Mar 2024
Model description paper |
| 05 Mar 2024
| 05 Mar 2024
Three-dimensional geological modelling of igneous intrusions in LoopStructural v1.5.10
Fernanda Alvarado-Neves
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
Lachlan Grose
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
Alexander R. Cruden
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
Robin Armit
School of Earth, Atmosphere and Environment, Monash University, P.O. Box 28E, Victoria, Australia
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We introduce a method to model igneous intrusions for 3D geological modelling. We use a parameterization of the intrusion body geometry that could be constrained using field observations. Using this parametrization, we simulate distance thresholds that represent the lateral and vertical extent of the intrusion body. We demonstrate the method with two case studies, and we present a comparison with Radial Basis Function interpolation using a case study of a sill complex located in NW Australia.
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Short summary
Previous work has demonstrated that adding geological knowledge to modelling methods creates more accurate and reliable models. Following this reasoning, we added constraints from magma emplacement mechanisms into existing modelling frameworks to improve the 3D characterisation of igneous intrusions. We tested the method on synthetic and real-world case studies, and the results show that our method can reproduce intrusion morphologies with no manual processing and using realistic datasets.
Previous work has demonstrated that adding geological knowledge to modelling methods creates...
