Articles | Volume 14, issue 11
https://doi.org/10.5194/gmd-14-6681-2021
© Author(s) 2021. 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-14-6681-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
02 Nov 2021
Development and technical paper |
| 02 Nov 2021
| 02 Nov 2021
Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code
Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
now at: GeoRessources, Université de Lorraine, CNRS, 54000, Nancy, France
Vitaliy Ogarko
Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
The International Centre for Radio Astronomy Research, University of Western Australia, 7 Fairway, 6009 Crawley, WA, Australia
Roland Martin
Laboratoire de Géosciences Environnement Toulouse GET, CNRS UMR 5563, Observatoire Midi-Pyrénées, Université Paul Sabatier, 14 avenue Edouard Belin, 31400, Toulouse, France
Mark Jessell
Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
Mark Lindsay
Centre for Exploration Targeting (School of Earth Sciences), University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
Mineral Exploration Cooperative Research Centre, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, 6009 Crawley, WA, Australia
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Cited
26 citations as recorded by crossref.
- Tomofast-x 2.0: an open-source parallel code for inversion of potential field data with topography using wavelet compression V. Ogarko et al. https://doi.org/10.5194/gmd-17-2325-2024
- Pseudo trans-dimensional 3-D geometrical inversion: a proof of concept using gravity data J. Giraud et al. https://doi.org/10.1093/gji/ggaf501
- Knowledge-guided deep learning inversion of electromagnetic look-ahead logging-while-drilling data S. Zhang et al. https://doi.org/10.1016/j.petsci.2026.04.041
- Spatial uncertainty constraints reduce overfitting for potential field geophysical inversion M. Lindsay et al. https://doi.org/10.1093/gji/ggag133
- Joint Inversion Method of Gravity and Magnetic Data with Adaptive Zoning Using Gramian in Both Petrophysical and Structural Domains T. Wang et al. https://doi.org/10.1007/s10712-024-09832-0
- Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. https://doi.org/10.1007/s10064-024-03794-8
- Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications M. Jessell et al. https://doi.org/10.5194/essd-14-381-2022
- Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD M. Rashidifard et al. https://doi.org/10.1093/gji/ggae179
- Hybrid Bayesian inversion applied to hydrogeophysical interpretation of single-time 2-D ERT data J. Bascur & G. Yañez https://doi.org/10.1093/gji/ggaf212
- Joint inversion with petrophysical constraints using indicator functions and the extended alternating direction method of multipliers K. Wang & D. Yang https://doi.org/10.1190/geo2022-0167.1
- Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees J. Giraud et al. https://doi.org/10.1093/gji/ggae192
- Gravity-derived Antarctic bathymetry using the Tomofast-x open-source code: a case study of Vincennes Bay L. Bird et al. https://doi.org/10.5194/tc-19-3355-2025
- 3D gravity inversion based on mixed-norm regularization in spherical coordinates with application to the lunar Moscoviense Basin G. Zhao et al. https://doi.org/10.1190/geo2022-0285.1
- Linking mineralogical, geochemical, and textural controls to petrophysical signatures in the Kiruna Mining District, Sweden E. Veress et al. https://doi.org/10.1016/j.oreoa.2025.100114
- loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. https://doi.org/10.5194/gmd-15-4689-2022
- Image-guided Structure-constrained Inversion of Electrical Resistivity Data for Improving Contaminations Characterization X. Ma et al. https://doi.org/10.1088/1742-6596/2651/1/012106
- Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al. https://doi.org/10.5194/se-15-63-2024
- Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. https://doi.org/10.5194/se-14-43-2023
- Gravity data inversion of the Pyrenees range using Taguchi sensitivity analysis and ADMM bound constraints based on seismic data R. Martin et al. https://doi.org/10.1093/gji/ggae410
- Variational inference for geophysical Bayesian inverse problems using normalizing flows: an unsupervised approach to electromagnetic data inversion S. Wu et al. https://doi.org/10.1093/gji/ggaf239
- 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin Z. Liu et al. https://doi.org/10.3389/feart.2023.1171050
- Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization X. Ma et al. https://doi.org/10.1016/j.cageo.2024.105545
- Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models R. Scalzo et al. https://doi.org/10.5194/gmd-15-3641-2022
- Joint interpretation of potential field data using independent Lpq norm inversion and geological modeling: Application to Iron targeting in Central Iran B. Sadraeifar et al. https://doi.org/10.1016/j.pepi.2025.107347
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Three-dimensional density structure of Xu-Su arc-shaped nappe structure and its relationship with seismic activity H. Qin et al. https://doi.org/10.1016/j.geog.2025.01.001
26 citations as recorded by crossref.
- Tomofast-x 2.0: an open-source parallel code for inversion of potential field data with topography using wavelet compression V. Ogarko et al. https://doi.org/10.5194/gmd-17-2325-2024
- Pseudo trans-dimensional 3-D geometrical inversion: a proof of concept using gravity data J. Giraud et al. https://doi.org/10.1093/gji/ggaf501
- Knowledge-guided deep learning inversion of electromagnetic look-ahead logging-while-drilling data S. Zhang et al. https://doi.org/10.1016/j.petsci.2026.04.041
- Spatial uncertainty constraints reduce overfitting for potential field geophysical inversion M. Lindsay et al. https://doi.org/10.1093/gji/ggag133
- Joint Inversion Method of Gravity and Magnetic Data with Adaptive Zoning Using Gramian in Both Petrophysical and Structural Domains T. Wang et al. https://doi.org/10.1007/s10712-024-09832-0
- Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. https://doi.org/10.1007/s10064-024-03794-8
- Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications M. Jessell et al. https://doi.org/10.5194/essd-14-381-2022
- Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD M. Rashidifard et al. https://doi.org/10.1093/gji/ggae179
- Hybrid Bayesian inversion applied to hydrogeophysical interpretation of single-time 2-D ERT data J. Bascur & G. Yañez https://doi.org/10.1093/gji/ggaf212
- Joint inversion with petrophysical constraints using indicator functions and the extended alternating direction method of multipliers K. Wang & D. Yang https://doi.org/10.1190/geo2022-0167.1
- Geologically constrained geometry inversion and null-space navigation to explore alternative geological scenarios: a case study in the Western Pyrenees J. Giraud et al. https://doi.org/10.1093/gji/ggae192
- Gravity-derived Antarctic bathymetry using the Tomofast-x open-source code: a case study of Vincennes Bay L. Bird et al. https://doi.org/10.5194/tc-19-3355-2025
- 3D gravity inversion based on mixed-norm regularization in spherical coordinates with application to the lunar Moscoviense Basin G. Zhao et al. https://doi.org/10.1190/geo2022-0285.1
- Linking mineralogical, geochemical, and textural controls to petrophysical signatures in the Kiruna Mining District, Sweden E. Veress et al. https://doi.org/10.1016/j.oreoa.2025.100114
- loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. https://doi.org/10.5194/gmd-15-4689-2022
- Image-guided Structure-constrained Inversion of Electrical Resistivity Data for Improving Contaminations Characterization X. Ma et al. https://doi.org/10.1088/1742-6596/2651/1/012106
- Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al. https://doi.org/10.5194/se-15-63-2024
- Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. https://doi.org/10.5194/se-14-43-2023
- Gravity data inversion of the Pyrenees range using Taguchi sensitivity analysis and ADMM bound constraints based on seismic data R. Martin et al. https://doi.org/10.1093/gji/ggae410
- Variational inference for geophysical Bayesian inverse problems using normalizing flows: an unsupervised approach to electromagnetic data inversion S. Wu et al. https://doi.org/10.1093/gji/ggaf239
- 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin Z. Liu et al. https://doi.org/10.3389/feart.2023.1171050
- Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization X. Ma et al. https://doi.org/10.1016/j.cageo.2024.105545
- Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models R. Scalzo et al. https://doi.org/10.5194/gmd-15-3641-2022
- Joint interpretation of potential field data using independent Lpq norm inversion and geological modeling: Application to Iron targeting in Central Iran B. Sadraeifar et al. https://doi.org/10.1016/j.pepi.2025.107347
- Review of integrating thermal, electrical, and seismic geophysical methods for shallow groundwater modeling in the critical zone A. Rivière et al. https://doi.org/10.5802/crgeos.330
- Three-dimensional density structure of Xu-Su arc-shaped nappe structure and its relationship with seismic activity H. Qin et al. https://doi.org/10.1016/j.geog.2025.01.001
Saved (final revised paper)
Latest update: 15 Jun 2026
Short summary
We review different techniques to model the Earth's subsurface from geophysical data (gravity field anomaly, magnetic field anomaly) using geological models and measurements of the rocks' properties. We show examples of application using idealised examples reproducing realistic features and provide theoretical details of the open-source algorithm we use.
We review different techniques to model the Earth's subsurface from geophysical data (gravity...
