Articles | Volume 15, issue 8
https://doi.org/10.5194/se-15-945-2024
© 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/se-15-945-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
What does it take to restore geological models with “natural” boundary conditions?
Melchior Schuh-Senlis
CORRESPONDING AUTHOR
RING, GeoRessources/ENSG, Université de Lorraine/CNRS, 54000 Nancy, France
Guillaume Caumon
RING, GeoRessources/ENSG, Université de Lorraine/CNRS, 54000 Nancy, France
Paul Cupillard
RING, GeoRessources/ENSG, Université de Lorraine/CNRS, 54000 Nancy, France
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Zhixiang Guo, Xinming Wu, Yimin Dou, Hui Gao, and Guillaume Caumon
EGUsphere, https://doi.org/10.5194/egusphere-2026-1087, https://doi.org/10.5194/egusphere-2026-1087, 2026
This preprint is open for discussion and under review for Geoscientific Model Development (GMD).
Short summary
Short summary
We present a fast way to generate subsurface structure models from seismic surveys while honoring known horizons and faults. Instead of compressing the data into a hidden representation, our method works directly with the original model values and applies geological constraints during generation. Tests on synthetic and real surveys show more realistic structures and efficient prediction, producing a 512 by 512 model in 1.56 seconds on an NVIDIA H20 graphics processing unit.
Jérémie Giraud, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, and Paul Cupillard
Solid Earth, 15, 63–89, https://doi.org/10.5194/se-15-63-2024, https://doi.org/10.5194/se-15-63-2024, 2024
Short summary
Short summary
We present and test an algorithm that integrates geological modelling into deterministic geophysical inversion. This is motivated by the need to model the Earth using all available data and to reconcile the different types of measurements. We introduce the methodology and test our algorithm using two idealised scenarios. Results suggest that the method we propose is effectively capable of improving the models recovered by geophysical inversion and may be applied in real-world scenarios.
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Short summary
This paper presents the application of a numerical method for restoring models of the subsurface to a previous state in their deformation history, acting as a numerical time machine for geological structures. The method is applied to a model based on a laboratory experiment. The results show that using force conditions in the computation of the deformation allows us to assess the value of some previously unknown physical parameters of the different materials inside the model.
This paper presents the application of a numerical method for restoring models of the subsurface...