Integration of automatic implicit geological modelling  in deterministic geophysical inversion

Giraud, Jérémie; Caumon, Guillaume; Grose, Lachlan; Ogarko, Vitaliy; Cupillard, Paul

doi:https://doi.org/10.5194/se-15-63-2024

Articles | Volume 15, issue 1

https://doi.org/10.5194/se-15-63-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/se-15-63-2024

© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 15, issue 1

Method article

|

02 Feb 2024

Method article |

| 02 Feb 2024

Integration of automatic implicit geological modelling in deterministic geophysical inversion

Jérémie Giraud, Guillaume Caumon, Lachlan Grose, Vitaliy Ogarko, and Paul Cupillard

Supplement

https://doi.org/10.5194/se-15-63-2024-supplement

Data sets

Evolution of model and geological inconsistencies during inversion J. Giraud and G. Caumon https://doi.org/10.5281/zenodo.7920886

Synthetic tests: unconstrained multiple level set inversions with errors in the starting model and noise in the data J. Giraud https://doi.org/10.5281/zenodo.7919381

Model code and software

LoopStructural L. Grose et al. https://doi.org/10.5281/zenodo.7542828

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.