103 citations as recorded by crossref.

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2. Integrating Deep Learning and Deterministic Inversion for Enhancing Fault Detection in Electrical Resistivity Surveys S. Kong et al. 10.3390/app13106250
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4. Impact of In-Situ Density Spatial Model Methods on Resource Tonnages in Highly Intruded Coal Deposits K. Maxwell et al. 10.1007/s11053-021-09989-0
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7. Subdivide and Conquer: Adapting Non-Manifold Subdivision Surfaces to Surface-Based Representation and Reconstruction of Complex Geological Structures M. Moulaeifard et al. 10.1007/s11004-022-10017-x
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9. Estimation of Aquifer Storativity Using 3D Geological Modeling and the Spatial Random Bagging Simulation Method: The Saskatchewan River Basin Case Study (Central Canada) M. Hamdi & K. Goïta 10.3390/w15061156
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13. Geodynamic Modeling With Uncertain Initial Geometries A. Spang et al. 10.1029/2021GC010265
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18. Lithospheric strength and elastic properties for Mars from InSight geophysical data K. Crane & J. Rich 10.1016/j.icarus.2023.115581
19. Three-Dimensional Geologic Modeling of the Kiruna Mining District, Sweden: Insights into the Crustal Architecture and Structural Controls on Iron Oxide-Apatite Mineralization E. Veress et al. 10.5382/econgeo.5080
20. Incremental Emplacement of the Sierra Nevada Batholith Constrained by U-Pb Ages and Potential Field Data H. Sehsah et al. 10.1086/722724
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24. 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
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26. Modeling the Uncertainty in the Layout of Geological Units by Implicit Boundary Simulation Accounting for a Preexisting Interpretive Geological Model R. Ferrer et al. 10.1007/s11053-021-09964-9
27. An integrated modeling scheme for characterizing 3D hydrogeological heterogeneity of the New Jersey shelf A. Thomas et al. 10.1007/s11001-022-09475-z
28. Estimating uncertainties in 3-D models of complex fold-and-thrust belts: A case study of the Eastern Alps triangle zone S. Brisson et al. 10.1016/j.acags.2023.100115
29. Towards a workflow to evaluate geological layering uncertainty onCO2injection simulation C. Legentil et al. 10.1016/j.acags.2023.100118
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31. GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling M. Hillier et al. 10.5194/gmd-16-6987-2023
32. PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces M. Moulaeifard et al. 10.5194/gmd-16-3565-2023
33. 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
34. Efficiency and robustness in Monte Carlo sampling for 3-D geophysical inversions with Obsidian v0.1.2: setting up for success R. Scalzo et al. 10.5194/gmd-12-2941-2019
35. GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences S. Haan 10.21105/joss.02690
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37. The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials P. Ghamisi et al. 10.1109/JSTARS.2021.3108049
38. 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
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40. Variational Gaussian processes for implicit geological modeling Í. Gonçalves et al. 10.1016/j.cageo.2023.105323
41. Combining implicit geological modeling, field surveys, and hydrogeological modeling to describe groundwater flow in a karst aquifer F. D’Affonseca et al. 10.1007/s10040-020-02220-z
42. A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models N. Aretz et al. 10.1016/j.jcp.2023.112599
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45. AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling B. Zhang et al. 10.5194/gmd-16-3651-2023
46. GeoPDNN 1.0: a semi-supervised deep learning neural network using pseudo-labels for three-dimensional shallow strata modelling and uncertainty analysis in urban areas from borehole data J. Guo et al. 10.5194/gmd-17-957-2024
47. The Geodynamic World Builder: A planetary structure creator for the geosciences M. Fraters et al. 10.21105/joss.06671
48. Automated Hierarchical 3D Modeling of Quaternary Aquifers: The ArchPy Approach L. Schorpp et al. 10.3389/feart.2022.884075
49. Regional-scale 3D modelling in metamorphic belts: An implicit model-driven workflow applied in the Pennine Alps G. Arienti et al. 10.1016/j.jsg.2023.105045
50. Virtual Reality Modelling of Garden Geography and Geology Based on 3D Modelling Technology Q. Zhang 10.1088/1742-6596/1952/2/022053
51. 3D simulation of complex fractures with a simple mesh J. Wu 10.1002/nme.6986
52. Characteristics and controls of an offshore freshened groundwater system in the Shengsi region, East China Sea A. Thomas et al. 10.3389/feart.2023.1198215
53. Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al. 10.1007/s10064-024-03794-8
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55. A Scenario-Based Simulation Model for Earthwork Cost Management Using Unmanned Aerial Vehicle Technology T. Rachmawati et al. 10.3390/su15010503
56. Geophysical model generation with generative adversarial networks V. Puzyrev et al. 10.1186/s40562-022-00241-y
57. 3D Modeling of Large-Scale Geological Structures by Linear Combinations of Implicit Functions: Application to a Large Banded Iron Formation L. Yang et al. 10.1007/s11053-021-09901-w
58. Uncertainties and robustness with regard to the safety of a repository for high-level radioactive waste: introduction of a research initiative K. Kurgyis et al. 10.1007/s12665-023-11346-8
59. Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al. 10.1016/j.cageo.2023.105419
60. Bedding Scale Correlation on Mars in Western Arabia Terra A. Annex et al. 10.1029/2023JE007776
61. 3DHIP-Calculator—A New Tool to Stochastically Assess Deep Geothermal Potential Using the Heat-In-Place Method from Voxel-Based 3D Geological Models G. Piris et al. 10.3390/en14217338
62. Can Agents Model Hydrocarbon Migration for Petroleum System Analysis? A Fast Screening Tool to De-Risk Hydrocarbon Prospects B. Steffens et al. 10.3390/en15030902
63. Towards an open-source landscape for 3-D CSEM modelling D. Werthmüller et al. 10.1093/gji/ggab238
64. Horizon-assisted lithologic modeling: understanding Mississippi Embayment and Coastal Lowlands aquifer systems in Louisiana and southwestern Mississippi, USA S. Yang et al. 10.1007/s10040-024-02804-z
65. Implicit modelling and dynamic update of tunnel unfavourable geology based on multi-source data fusion using support vector machine B. Yang et al. 10.1080/17499518.2023.2239778
66. Three-dimensional hydrogeological parametrization using sparse piezometric data D. Rambourg et al. 10.5194/hess-26-6147-2022
67. Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Z. Yin et al. 10.5194/gmd-13-651-2020
68. Spatial agents for geological surface modelling E. de Kemp 10.5194/gmd-14-6661-2021
69. 2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults K. Noh et al. 10.1109/LGRS.2021.3128965
70. Developing a 3D hydrostratigraphical model of the emerged part of the Pelotas Basin along the northern coast of Rio Grande do Sul state, Brazil L. Marquetto et al. 10.1007/s12665-024-11609-y
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73. Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field Z. Xiao et al. 10.1155/2022/6864786
74. Delineation of LNAPL plumes in a clay-rich site in Gyeongsangnam-do Province, South Korea: integration of geophysical survey data with borehole data and soil sampling information B. Kim et al. 10.1007/s10661-023-12202-9
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76. Maximising the value of hyperspectral drill core scanning through real-time processing and analysis S. Thiele et al. 10.3389/feart.2024.1433662
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78. Using an Open-Source Tool to Develop a Three-Dimensional Hydrogeologic Framework of the Kobo Valley, Ethiopia S. Mekonen et al. 10.3390/geosciences14010003
79. Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study A. Pollack et al. 10.1016/j.geothermics.2021.102129
80. Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles C. Fandel et al. 10.5194/hess-27-4205-2023
81. A method to construct statistical prior models of geology for probabilistic inversion of geophysical data R. Madsen et al. 10.1016/j.enggeo.2023.107252
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83. 数据和知识融合的Bayesian-MCMC三维地质建模 L. Wang et al. 10.3799/dqkx.2023.069
84. Geophysical tomography as a tool to estimate the geometry of soil layers: relevance for the reliability assessment of dikes J. Chavez Olalla et al. 10.1080/17499518.2021.1971252
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88. Efficient geo-electromagnetic modeling techniques for complex geological structures: A karst MT example M. Liu et al. 10.1016/j.cageo.2024.105557
89. A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration T. Sun & S. Grimmond 10.5194/gmd-12-2781-2019
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91. Construction and Usefulness Verification of Modeling Method of Subsurface Soil Layers for Numerical Analysis of Urban Area Ground Motion H. Motoyama & M. Hori 10.3390/geohazards3020013
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