Articles | Volume 10, issue 1
https://doi.org/10.5194/se-10-193-2019
© Author(s) 2019. 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-10-193-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
25 Jan 2019
Research article |
| 25 Jan 2019
| 25 Jan 2019
Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization
Centre for Exploration Targeting, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia
Mark Lindsay
Centre for Exploration Targeting, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia
Vitaliy Ogarko
The International Centre for Radio Astronomy Research, 7 Fairway, Ken and Julie Michael Building, The University of Western, Australia, WA Crawley 6009, Australia
Mark Jessell
Centre for Exploration Targeting, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia
Roland Martin
Géoscience Environnement Toulouse, UMR CNRS 5563, Université Paul Sabatier, Observatoire Midi-Pyrénées, 14 Avenue Edouard Belin, 31400 Toulouse, France
Evren Pakyuz-Charrier
Centre for Exploration Targeting, School of Earth Sciences, University of Western Australia, 35 Stirling Highway, WA Crawley 6009, Australia
Viewed
Total article views: 3,989 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Aug 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,549 | 1,324 | 116 | 3,989 | 128 | 129 |
- HTML: 2,549
- PDF: 1,324
- XML: 116
- Total: 3,989
- BibTeX: 128
- EndNote: 129
Total article views: 3,030 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Jan 2019)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 1,972 | 946 | 112 | 3,030 | 123 | 126 |
- HTML: 1,972
- PDF: 946
- XML: 112
- Total: 3,030
- BibTeX: 123
- EndNote: 126
Total article views: 959 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 24 Aug 2018)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 577 | 378 | 4 | 959 | 5 | 3 |
- HTML: 577
- PDF: 378
- XML: 4
- Total: 959
- BibTeX: 5
- EndNote: 3
Viewed (geographical distribution)
Total article views: 3,989 (including HTML, PDF, and XML)
Thereof 3,379 with geography defined
and 610 with unknown origin.
Total article views: 3,030 (including HTML, PDF, and XML)
Thereof 2,514 with geography defined
and 516 with unknown origin.
Total article views: 959 (including HTML, PDF, and XML)
Thereof 865 with geography defined
and 94 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
32 citations as recorded by crossref.
- Three-dimensional gravity anomaly data inversion in the Pyrenees using compressional seismic velocity model as structural similarity constraints R. Martin et al. 10.1093/gji/ggaa414
- Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty N. Athens & J. Caers 10.1007/s11004-021-09978-2
- Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions M. Lindsay et al. 10.1016/j.gsf.2022.101435
- Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran P. Kianoush et al. 10.1016/j.heliyon.2023.e21115
- 3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements X. Wei & J. Sun 10.1190/geo2021-0833.1
- Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework J. Giraud et al. 10.1190/geo2020-0263.1
- 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
- Efficient regional scale 3D potential field geophysical modelling to redefine the geometry of granite bodies beneath prospective, geologically complex, northwest Tasmania E. Eshaghi et al. 10.1016/j.oregeorev.2020.103799
- Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code J. Giraud et al. 10.5194/gmd-14-6681-2021
- Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data Y. Zhang et al. 10.3390/buildings12111861
- Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models H. Olierook et al. 10.1016/j.gsf.2020.04.015
- Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms X. Wei & J. Sun 10.1190/geo2020-0672.1
- Three Integrating Methods for Gravity and Gravity Gradient 3-D Inversion and Their Comparison Based on a New Function of Discrete Stability P. Qin et al. 10.1109/TGRS.2021.3108459
- Assessing geometrical uncertainties in geological interface models using Markov chain Monte Carlo sampling via abstract graph J. Huang et al. 10.1016/j.tecto.2023.230032
- Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J. Giraud et al. 10.1093/gji/ggz152
- Topological analysis in Monte Carlo simulation for uncertainty propagation E. Pakyuz-Charrier et al. 10.5194/se-10-1663-2019
- Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure K. Sharma et al. 10.1109/ACCESS.2021.3083969
- 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
- Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data V. Ogarko et al. 10.1190/geo2019-0633.1
- Mapping undercover: integrated geoscientific interpretation and 3D modelling of a Proterozoic basin M. Lindsay et al. 10.5194/se-11-1053-2020
- Uncertainty Modeling of Jiaojia Fault Metallogenic Structure Based on Bayes Inference in Northwestern Jiaodong Peninsula, Shandong Province 珏. 黄 10.12677/AG.2022.122018
- Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton M. Rashidifard et al. 10.5194/se-12-2387-2021
- Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model T. Astic et al. 10.1093/gji/ggaa378
- 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
- Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al. 10.5194/se-11-419-2020
- Modeling uncertain data using Monte Carlo integration method for clustering K. Sharma & A. Seal 10.1016/j.eswa.2019.06.050
- Uncertainty and Resolution Analysis of 2D and 3D Inversion Models Computed from Geophysical Electromagnetic Data Z. Ren & T. Kalscheuer 10.1007/s10712-019-09567-3
- 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
- Gravity inversion with a binary structure constraint imposed by magnetotelluric data and its application to a Carlin-type gold deposit R. Zhang et al. 10.1190/geo2022-0391.1
- Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit N. Güdük et al. 10.3390/geosciences11040150
- 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
- 3D inversion of gravity data using mixed Lp–Lq norm regularization, a case study for potash targeting at the Ghare-Aghaj deposit in Iran B. Sadraeifar & M. Abedi 10.1007/s13146-024-00978-x
32 citations as recorded by crossref.
- Three-dimensional gravity anomaly data inversion in the Pyrenees using compressional seismic velocity model as structural similarity constraints R. Martin et al. 10.1093/gji/ggaa414
- Stochastic Inversion of Gravity Data Accounting for Structural Uncertainty N. Athens & J. Caers 10.1007/s11004-021-09978-2
- Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions M. Lindsay et al. 10.1016/j.gsf.2022.101435
- Geobody estimation by Bhattacharyya method utilizing nonlinear inverse modeling of magnetic data in Baba-Ali iron deposit, NW Iran P. Kianoush et al. 10.1016/j.heliyon.2023.e21115
- 3D probabilistic geology differentiation based on airborne geophysics, mixed Lp norm joint inversion, and physical property measurements X. Wei & J. Sun 10.1190/geo2021-0833.1
- Generalization of level-set inversion to an arbitrary number of geologic units in a regularized least-squares framework J. Giraud et al. 10.1190/geo2020-0263.1
- 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
- Efficient regional scale 3D potential field geophysical modelling to redefine the geometry of granite bodies beneath prospective, geologically complex, northwest Tasmania E. Eshaghi et al. 10.1016/j.oregeorev.2020.103799
- Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code J. Giraud et al. 10.5194/gmd-14-6681-2021
- Numerical Study on Elastic Parameter Identification of Large-Span Steel Truss Structures Based on Strain Test Data Y. Zhang et al. 10.3390/buildings12111861
- Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models H. Olierook et al. 10.1016/j.gsf.2020.04.015
- Uncertainty analysis of 3D potential-field deterministic inversion using mixed Lp norms X. Wei & J. Sun 10.1190/geo2020-0672.1
- Three Integrating Methods for Gravity and Gravity Gradient 3-D Inversion and Their Comparison Based on a New Function of Discrete Stability P. Qin et al. 10.1109/TGRS.2021.3108459
- Assessing geometrical uncertainties in geological interface models using Markov chain Monte Carlo sampling via abstract graph J. Huang et al. 10.1016/j.tecto.2023.230032
- Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis J. Giraud et al. 10.1093/gji/ggz152
- Topological analysis in Monte Carlo simulation for uncertainty propagation E. Pakyuz-Charrier et al. 10.5194/se-10-1663-2019
- Clustering Uncertain Data Objects Using Jeffreys-Divergence and Maximum Bipartite Matching Based Similarity Measure K. Sharma et al. 10.1109/ACCESS.2021.3083969
- 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
- Disjoint interval bound constraints using the alternating direction method of multipliers for geologically constrained inversion: Application to gravity data V. Ogarko et al. 10.1190/geo2019-0633.1
- Mapping undercover: integrated geoscientific interpretation and 3D modelling of a Proterozoic basin M. Lindsay et al. 10.5194/se-11-1053-2020
- Uncertainty Modeling of Jiaojia Fault Metallogenic Structure Based on Bayes Inference in Northwestern Jiaodong Peninsula, Shandong Province 珏. 黄 10.12677/AG.2022.122018
- Constraining 3D geometric gravity inversion with a 2D reflection seismic profile using a generalized level set approach: application to the eastern Yilgarn Craton M. Rashidifard et al. 10.5194/se-12-2387-2021
- Petrophysically and geologically guided multi-physics inversion using a dynamic Gaussian mixture model T. Astic et al. 10.1093/gji/ggaa378
- 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
- Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al. 10.5194/se-11-419-2020
- Modeling uncertain data using Monte Carlo integration method for clustering K. Sharma & A. Seal 10.1016/j.eswa.2019.06.050
- Uncertainty and Resolution Analysis of 2D and 3D Inversion Models Computed from Geophysical Electromagnetic Data Z. Ren & T. Kalscheuer 10.1007/s10712-019-09567-3
- 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
- Gravity inversion with a binary structure constraint imposed by magnetotelluric data and its application to a Carlin-type gold deposit R. Zhang et al. 10.1190/geo2022-0391.1
- Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit N. Güdük et al. 10.3390/geosciences11040150
- 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
- 3D inversion of gravity data using mixed Lp–Lq norm regularization, a case study for potash targeting at the Ghare-Aghaj deposit in Iran B. Sadraeifar & M. Abedi 10.1007/s13146-024-00978-x
Discussed (final revised paper)
Discussed (preprint)
Latest update: 14 Dec 2024
Short summary
We propose the quantitative integration of geology and geophysics in an algorithm integrating the probability of observation of rocks with gravity data to improve subsurface imaging. This allows geophysical modelling to adjust models preferentially in the least certain areas while honouring geological information and geophysical data. We validate our algorithm using an idealized case and apply it to the Yerrida Basin (Australia), where we can recover the geometry of buried greenstone belts.
We propose the quantitative integration of geology and geophysics in an algorithm integrating...
