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
17 citations as recorded by crossref.
- Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications M. Jessell et al. 10.5194/essd-14-381-2022
- Tomofast-x 2.0: an open-source parallel code for inversion of potential field data with topography using wavelet compression V. Ogarko et al. 10.5194/gmd-17-2325-2024
- Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD M. Rashidifard et al. 10.1093/gji/ggae179
- Joint inversion with petrophysical constraints using indicator functions and the extended alternating direction method of multipliers K. Wang & D. Yang 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. 10.1093/gji/ggae192
- 3D gravity inversion based on mixed-norm regularization in spherical coordinates with application to the lunar Moscoviense Basin G. Zhao et al. 10.1190/geo2022-0285.1
- loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. 10.5194/gmd-15-4689-2022
- Image-guided Structure-constrained Inversion of Electrical Resistivity Data for Improving Contaminations Characterization X. Ma et al. 10.1088/1742-6596/2651/1/012106
- Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al. 10.5194/se-15-63-2024
- Joint Inversion Method of Gravity and Magnetic Data with Adaptive Zoning Using Gramian in Both Petrophysical and Structural Domains T. Wang et al. 10.1007/s10712-024-09832-0
- Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. 10.5194/se-14-43-2023
- Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. 10.1007/s10064-024-03794-8
- 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin Z. Liu et al. 10.3389/feart.2023.1171050
- Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization X. Ma et al. 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. 10.5194/gmd-15-3641-2022
- Automated geological map deconstruction for 3D model construction using <i>map2loop</i> 1.0 and <i>map2model</i> 1.0 M. Jessell et al. 10.5194/gmd-14-5063-2021
- Structure-guided gravity inversion for layered density modeling with an application in the Chezhen Depression, Bohai Bay Basin J. Liu & J. Zhang 10.1190/geo2021-0213.1
15 citations as recorded by crossref.
- Into the Noddyverse: a massive data store of 3D geological models for machine learning and inversion applications M. Jessell et al. 10.5194/essd-14-381-2022
- Tomofast-x 2.0: an open-source parallel code for inversion of potential field data with topography using wavelet compression V. Ogarko et al. 10.5194/gmd-17-2325-2024
- Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD M. Rashidifard et al. 10.1093/gji/ggae179
- Joint inversion with petrophysical constraints using indicator functions and the extended alternating direction method of multipliers K. Wang & D. Yang 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. 10.1093/gji/ggae192
- 3D gravity inversion based on mixed-norm regularization in spherical coordinates with application to the lunar Moscoviense Basin G. Zhao et al. 10.1190/geo2022-0285.1
- loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al. 10.5194/gmd-15-4689-2022
- Image-guided Structure-constrained Inversion of Electrical Resistivity Data for Improving Contaminations Characterization X. Ma et al. 10.1088/1742-6596/2651/1/012106
- Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al. 10.5194/se-15-63-2024
- Joint Inversion Method of Gravity and Magnetic Data with Adaptive Zoning Using Gramian in Both Petrophysical and Structural Domains T. Wang et al. 10.1007/s10712-024-09832-0
- Utilisation of probabilistic magnetotelluric modelling to constrain magnetic data inversion: proof-of-concept and field application J. Giraud et al. 10.5194/se-14-43-2023
- Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. 10.1007/s10064-024-03794-8
- 3D geological modeling of deep fractured low porosity sandstone gas reservoir in the Kuqa Depression, Tarim Basin Z. Liu et al. 10.3389/feart.2023.1171050
- Image-guided structure-constrained inversion of electrical resistivity data for improving contaminations characterization X. Ma et al. 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. 10.5194/gmd-15-3641-2022
2 citations as recorded by crossref.
- Automated geological map deconstruction for 3D model construction using <i>map2loop</i> 1.0 and <i>map2model</i> 1.0 M. Jessell et al. 10.5194/gmd-14-5063-2021
- Structure-guided gravity inversion for layered density modeling with an application in the Chezhen Depression, Bohai Bay Basin J. Liu & J. Zhang 10.1190/geo2021-0213.1
Latest update: 20 Nov 2024
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...
