Preprints
https://doi.org/10.5194/gmd-2022-88
https://doi.org/10.5194/gmd-2022-88
Submitted as: model description paper
22 Apr 2022
Submitted as: model description paper | 22 Apr 2022
Status: this preprint is currently under review for the journal GMD.

3D geological modelling of igneous intrusions in LoopStructural v1.4.4

Fernanda Alvarado-Neves, Laurent Ailleres, Lachlan Grose, Alexander R. Cruden, and Robin Armit Fernanda Alvarado-Neves et al.
  • School of Earth, Atmosphere and Environment, Monash University PO Box 28E, Victoria, Australia

Abstract. Over the last two decades, there have been significant advances to improve the 3D modelling of geological structures by incorporating geological knowledge into the model algorithms. These methods take advantage of different structural data types and do not require manual processing, making them robust and objective. Igneous intrusions have received little attention in 3D modelling workflows, and there is no current method that ensures the reproduction of realistic intrusion shapes. Existing techniques are strongly dependent on the availability of data and manual processing to refine models. Intrusions are usually partly or totally covered, making the generation of realistic 3D models challenging without the modeller’s intervention. In this contribution, we present a method to stochastically model intrusions based on the Object-Distance Simulation Method. We adapted this method considering typical datasets and rules of intrusion emplacement mechanisms. Using the geometric elements of intrusions (inflation direction, propagation direction) and stochastic simulations of intrusion thickness, we can generate realistic intrusions shapes while honouring observations and accounting for the spatial variability in thickness. The method is tested in synthetic and real-world case studies and the results indicate that the method can reproduce expected geometries without manual processing. A comparison with Radial Basis Function (RBF) interpolation shows that our method can better reproduce intrusion shapes, particularly when considering scenarios with sparse datasets.

Fernanda Alvarado-Neves et al.

Status: open (until 18 Jun 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse

Fernanda Alvarado-Neves et al.

Data sets

Case studies 1,2 and 3 datasets and Jupyter notebooks Fernanda Alvarado-Neves, Laurent Ailleres, Lachlan Grose, Sandy Cruden, Robin Armit https://doi.org/10.5281/zenodo.6381034

Model code and software

LoopStructural Lachlan Grose, Laurent Ailleres, Gautier Laurent, Mark Jessel https://doi.org/10.5281/zenodo.6381007

Fernanda Alvarado-Neves et al.

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Short summary
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.