Articles | Volume 14, issue 8
Geosci. Model Dev., 14, 5063–5092, 2021

Special issue: The Loop 3D stochastic geological modelling platform – development...

Geosci. Model Dev., 14, 5063–5092, 2021

Development and technical paper 16 Aug 2021

Development and technical paper | 16 Aug 2021

Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0

Mark Jessell et al.

Related authors

Modelling of faults in LoopStructural 1.0
Lachlan Grose, Laurent Ailleres, Gautier Laurent, Guillaume Caumon, Mark Jessell, and Robin Armit
Geosci. Model Dev., 14, 6197–6213,,, 2021
Short summary
Into the Noddyverse: A massive data store of 3D geological models for Machine Learning & inversion applications
Mark Jessell, Jiateng Guo, Yunqiang Li, Mark Lindsay, Richard Scalzo, Jérémie Giraud, Guillaume Pirot, Ed Cripps, and Vitaliy Ogarko
Earth Syst. Sci. Data Discuss.,,, 2021
Preprint under review for ESSD
Short summary
Blockworlds 0.1.0: A demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models
Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, and Sally Cripps
Geosci. Model Dev. Discuss.,,, 2021
Preprint under review for GMD
Short summary
LoopStructural 1.0: time-aware geological modelling
Lachlan Grose, Laurent Ailleres, Gautier Laurent, and Mark Jessell
Geosci. Model Dev., 14, 3915–3937,,, 2021
Short summary
Constraining 3D geometric gravity inversion with 2D reflection seismic profile using a generalized level-set approach: application to Eastern Yilgarn craton
Mahtab Rashidifard, Jérémie Giraud, Mark Lindsay, Mark Jessell, and Vitaliy Ogarko
Solid Earth Discuss.,,, 2021
Revised manuscript accepted for SE
Short summary

Related subject area

Earth and space science informatics
Copula-based synthetic data augmentation for machine-learning emulators
David Meyer, Thomas Nagler, and Robin J. Hogan
Geosci. Model Dev., 14, 5205–5215,,, 2021
Short summary
A spatially explicit approach to simulate urban heat mitigation with InVEST (v3.8.0)
Martí Bosch, Maxence Locatelli, Perrine Hamel, Roy P. Remme, Jérôme Chenal, and Stéphane Joost
Geosci. Model Dev., 14, 3521–3537,,, 2021
Short summary
Turbidity maximum zone index: A novel model for remote extraction of turbidity maximum zone in different estuaries
Chongyang Wang, Li Wang, Danni Wang, Dan Li, Chenghu Zhou, Hao Jiang, Qiong Zheng, Shuisen Chen, Yangxiaoyue Liu, Ji Yang, Xia Zhou, and Yong Li
Geosci. Model Dev. Discuss.,,, 2021
Revised manuscript accepted for GMD
Short summary
S-SOM v1.0: a structural self-organizing map algorithm for weather typing
Quang-Van Doan, Hiroyuki Kusaka, Takuto Sato, and Fei Chen
Geosci. Model Dev., 14, 2097–2111,,, 2021
Short summary
Using Shapley additive explanations to interpret extreme gradient boosting predictions of grassland degradation in Xilingol, China
Batunacun, Ralf Wieland, Tobia Lakes, and Claas Nendel
Geosci. Model Dev., 14, 1493–1510,,, 2021
Short summary

Cited articles

Ailleres, L. and Betts, P.: Geometrical and geophysical modelling of an inverted Middle Proterozoic fault system, Mount Isa Terrain, Australia, Conference Abstracts: 3D Modelling of Natural Objects: a Challenge for the 2000, vol. 2, Nancy, France, 4–5 June 1998. 
Ailleres, L., Grose, L., Laurent, G., Armit, R., Jessell, M. W., Caumon, G., de Kemp, E., and Wellmann, J. F.: Loop – a new open source platform for 3D geo-structural simulations. Three-dimensional geological mapping workshop, Resources for Future Generations meeting, Vancouver, Canada, 16–21 June 2018, 14–18, 2018. 
Aitken, A. R. A., Occhipinti, S. A., Lindsay, M. D., and Trench, A.: A role for data richness mapping in exploration decision making, Ore Geol. Rev., 99, 398–410, 2018. 
Allmendinger, R. W.: GMDE: Extracting quantitative information from geologic maps, Geosphere, 16, 1495–1507, 2020. 
Alvarado, F., Ailleres, L., Grose, L., Cruden, A., and Armit, R.: Modelling of Igneous Intrusions Based on Emplacement Mechanisms, American Geophysical Union, Fall Meeting 2020, abstract #IN048-07, 2020. 
Short summary
We have developed software that allows the user to extract sufficient information from unmodified digital maps and associated datasets that we are able to use to automatically build 3D geological models. By automating the process we are able to remove human bias from the procedure, which makes the workflow reproducible.