138 citations as recorded by crossref.

1. Informed Local Smoothing in 3D Implicit Geological Modeling J. von Harten et al.
2. Integrating Deep Learning and Deterministic Inversion for Enhancing Fault Detection in Electrical Resistivity Surveys S. Kong et al.
3. Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit N. Güdük et al.
4. Impact of In-Situ Density Spatial Model Methods on Resource Tonnages in Highly Intruded Coal Deposits K. Maxwell et al.
5. Modelling and inferring fracture curvature from borehole GPR data: A case study from the Bedretto Laboratory, Switzerland D. Escallon et al.
6. Automated geological map deconstruction for 3D model construction using map2loop 1.0 and map2model 1.0 M. Jessell et al.
7. Subdivide and Conquer: Adapting Non-Manifold Subdivision Surfaces to Surface-Based Representation and Reconstruction of Complex Geological Structures M. Moulaeifard et al.
8. Towards the geological parametrization of seismic tomography V. Tsai et al.
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. Checking the consistency of 3D geological models M. Parquer et al.
11. Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy M. Lykkegaard et al.
12. GeoSAE: A 3D Stratigraphic Modeling Method Driven by Geological Constraint Y. Yang et al.
13. Structural, petrophysical, and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code J. Giraud et al.
14. Modelling of faults in LoopStructural 1.0 L. Grose et al.
15. Estimating relative uncertainty of geological 3D models with low density of input data in geologically complex regions F. Staněk et al.
16. Geodynamic Modeling With Uncertain Initial Geometries A. Spang et al.
17. Impact of structural uncertainty on tracer test design in faulted geothermal reservoirs A. Dashti et al.
18. Automated extraction of orientation and stratigraphic thickness from geological maps L. Nibourel et al.
19. GEOMODELATOR-GUI: A web-based graphical user interface for 3D geological modelling T. Kempka et al.
20. The stochastic simulation of karst conduit network structure using anisotropic fast marching, and its application to a geologically complex alpine karst system C. Fandel et al.
21. Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge A. Krajnovich et al.
22. Lithospheric strength and elastic properties for Mars from InSight geophysical data K. Crane & J. Rich
23. Uncertainty quantification using Hamiltonian Monte Carlo for structural geological modelling with implicit neural representations (INR) K. Gao et al.
24. 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.
25. Incremental Emplacement of the Sierra Nevada Batholith Constrained by U-Pb Ages and Potential Field Data H. Sehsah et al.
26. 3D structural modeling for seismic exploration based on knowledge graphs X. Zhan et al.
27. Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al.
28. Integrating deep learning and discrete cosine transform for surface waves full-waveform inversion F. Rincón et al.
29. Fault representation in structural modelling with implicit neural representations K. Gao & F. Wellmann
30. Modeling a geologically complex volcanic watershed for integrated water resources management in Mt. Fuji, Japan S. Musy et al.
31. A generalizable automated geophysical agent workflow for accessible subsurface hydrology analysis H. Chen
32. The role of geological models and uncertainties in safety assessments M. Bjorge et al.
33. Curlew 1.0: Spatio-temporal implicit geological modelling with neural fields in python A. Kamath et al.
34. CurvRBF: Mean Curvature-Controllable Radial Basis Functions for Implicit Geological Modeling Y. Chen et al.
35. Bayesian geological and geophysical data fusion for the construction and uncertainty quantification of 3D geological models H. Olierook et al.
36. Actors, actions, and uncertainties: optimizing decision-making based on 3-D structural geological models F. Stamm et al.
37. Rapid Implicit 3D geological modelling from a large quantity of boreholes via a divide-and-conquer strategy based on Voronoi diagrams and R-functions X. Wang et al.
38. Knowledge-driven stochastic modeling of geological geometry features conditioned on drillholes and outcrop contacts X. Wei et al.
39. 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.
40. Modeling the Uncertainty in the Layout of Geological Units by Implicit Boundary Simulation Accounting for a Preexisting Interpretive Geological Model R. Ferrer et al.
41. An integrated modeling scheme for characterizing 3D hydrogeological heterogeneity of the New Jersey shelf A. Thomas et al.
42. Incorporating geological structure into sensitivity analysis of subsurface contaminant transport L. Bigler et al.
43. 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.
44. Towards a workflow to evaluate geological layering uncertainty on CO2 injection simulation C. Legentil et al.
45. Deformation scale using harmonic curvature analysis: A case study from the Hamersley Province D. Nathan et al.
46. GeoINR 1.0: an implicit neural network approach to three-dimensional geological modelling M. Hillier et al.
47. PySubdiv 1.0: open-source geological modeling and reconstruction by non-manifold subdivision surfaces M. Moulaeifard et al.
48. Integrating Remote Sensing and Knowledge-Based Systems for Structural Lineament Mapping in the Rif Belt M. Alaoui et al.
49. Blockworlds 0.1.0: a demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models R. Scalzo et al.
50. 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.
51. GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences S. Haan
52. An algorithm for identifying stratigraphic piles from interpreted boreholes L. Schorpp et al.
53. The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials P. Ghamisi et al.
54. loopUI-0.1: indicators to support needs and practices in 3D geological modelling uncertainty quantification G. Pirot et al.
55. An automatic geological 3D cross-section generator: Geopropy, an open-source library A. Hassanzadeh et al.
56. Variational Gaussian processes for implicit geological modeling Í. Gonçalves et al.
57. Multiscale progressive 3D geological modeling based on isochronous stratigraphy identification in urban underground space Y. Zhang et al.
58. Probabilistic stratigraphic modeling of waste soil landfills using multiple UAV data S. Wang et al.
59. Combining implicit geological modeling, field surveys, and hydrogeological modeling to describe groundwater flow in a karst aquifer F. D’Affonseca et al.
60. A greedy sensor selection algorithm for hyperparameterized linear Bayesian inverse problems with correlated noise models N. Aretz et al.
61. A model ensemble generator to explore structural uncertainty in karst systems with unmapped conduits C. Fandel et al.
62. PyGMI - a python package for geoscience modelling and interpretation P. Cole
63. 3D structural implicit modelling of folded metamorphic units at Lago di Cignana with uncertainty assessment G. Arienti et al.
64. 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.
65. AdaHRBF v1.0: gradient-adaptive Hermite–Birkhoff radial basis function interpolants for three-dimensional stratigraphic implicit modeling B. Zhang et al.
66. Flexible Geological Modeling with Radial Basis Functions Integrating External Drift J. Yang et al.
67. 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.
68. The Geodynamic World Builder: A planetary structure creator for the geosciences M. Fraters et al.
69. Automated Hierarchical 3D Modeling of Quaternary Aquifers: The ArchPy Approach L. Schorpp et al.
70. Regional-scale 3D modelling in metamorphic belts: An implicit model-driven workflow applied in the Pennine Alps G. Arienti et al.
71. An improved parametric 3D geologic modeling framework for seismic structure identification using deep learning in complex geologic settings L. Lin et al.
72. Virtual Reality Modelling of Garden Geography and Geology Based on 3D Modelling Technology Q. Zhang
73. 3D simulation of complex fractures with a simple mesh J. Wu
74. Characteristics and controls of an offshore freshened groundwater system in the Shengsi region, East China Sea A. Thomas et al.
75. Integrated framework for geological modeling: integration of data, knowledge, and methods H. Li et al.
76. LoopStructural 1.0: time-aware geological modelling L. Grose et al.
77. A Scenario-Based Simulation Model for Earthwork Cost Management Using Unmanned Aerial Vehicle Technology T. Rachmawati et al.
78. ArchPy and MODFLOW: Toward a General Integration of Heterogeneity into Groundwater Models L. Schorpp et al.
79. Geophysical model generation with generative adversarial networks V. Puzyrev et al.
80. Implicit 3D structural geological modeling of the Mexico Basin: a scalable and reproducible open-source workflow J. Montaño-Caro & E. Morales-Casique
81. 3D Modeling of Large-Scale Geological Structures by Linear Combinations of Implicit Functions: Application to a Large Banded Iron Formation L. Yang et al.
82. 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.
83. Einstein-Telescope in the Euregio-Meuse-Rhine – Preliminary engineering geological site characterization for siting and design R. Burchartz et al.
84. Spatial uncertainty constraints reduce overfitting for potential field geophysical inversion M. Lindsay et al.
85. SubsurfaceBreaks v. 1.0: a supervised detection of fault-related structures on triangulated models of subsurface homoclinal interfaces M. Michalak et al.
86. Data- and knowledge-driven three-dimensional geological reconstruction method for tunnel engineering Q. Li et al.
87. Unraveling the uncertainty of geological interfaces through data-knowledge-driven trend surface analysis L. Wang et al.
88. Bedding Scale Correlation on Mars in Western Arabia Terra A. Annex et al.
89. 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.
90. Geologically guided ambient noise tomography inversion with 3-D interface structures: methodology and application to a gold mine region in China Y. Wang et al.
91. On the visualization of 3D geological models and their uncertainty B. Zehner
92. Can Agents Model Hydrocarbon Migration for Petroleum System Analysis? A Fast Screening Tool to De-Risk Hydrocarbon Prospects B. Steffens et al.
93. Towards an open-source landscape for 3-D CSEM modelling D. Werthmüller et al.
94. Horizon-assisted lithologic modeling: understanding Mississippi Embayment and Coastal Lowlands aquifer systems in Louisiana and southwestern Mississippi, USA S. Yang et al.
95. pyKasso: An open-source three-dimensional discrete karst network generator F. Miville et al.
96. Implicit modelling and dynamic update of tunnel unfavourable geology based on multi-source data fusion using support vector machine B. Yang et al.
97. Three-dimensional hydrogeological parametrization using sparse piezometric data D. Rambourg et al.
98. Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1.0) Z. Yin et al.
99. Spatial agents for geological surface modelling E. de Kemp
100. GemPy 1.0: open-source stochastic geological modeling and inversion M. de la Varga et al.
101. 2.5-D Deep Learning Inversion of LWD and Deep-Sensing EM Measurements Across Formations With Dipping Faults K. Noh et al.
102. 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.
103. Modelo estructural estocástico de bofedal mediante interpolación 3D de las conductividades eléctricas con gempy, microcuenca apacheta, 2021. J. Huaman Musaja
104. A probabilistic geologic model of the Krafla geothermal system constrained by gravimetric data S. Scott et al.
105. The structural development of the strike-slip Água Bonita Basin, Brazil, using receiver function and the HVSR method D. Gomes-Silva et al.
106. Integration of automatic implicit geological modelling in deterministic geophysical inversion J. Giraud et al.
107. Integrated Three-Dimensional Structural and Petrophysical Modeling for Assessment of CO2 Storage Potential in Gas Reservoir S. Shah et al.
108. Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field Z. Xiao et al.
109. 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.
110. Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1 A. Schaaf et al.
111. Maximising the value of hyperspectral drill core scanning through real-time processing and analysis S. Thiele et al.
112. 3D structural and probabilistic modelling of geothermal reservoir horizons in the Northern Eifel and its foreland A. Jüstel et al.
113. Towards automatic and rapid 3D geological modelling of urban sedimentary strata from a large amount of borehole data using a parallel solution of implicit equations X. Wang et al.
114. Using an Open-Source Tool to Develop a Three-Dimensional Hydrogeologic Framework of the Kobo Valley, Ethiopia S. Mekonen et al.
115. Generation of random geological models using multi-randomization for machine learning K. Gao & T. Chen
116. Stochastic inversion of gravity, magnetic, tracer, lithology, and fault data for geologically realistic structural models: Patua Geothermal Field case study A. Pollack et al.
117. Computational modeling and analytical validation of singular geometric effects in fault data using a combinatorial approach M. Michalak et al.
118. Improving understanding of groundwater flow in an alpine karst system by reconstructing its geologic history using conduit network model ensembles C. Fandel et al.
119. A method to construct statistical prior models of geology for probabilistic inversion of geophysical data R. Madsen et al.
120. A seamless geo-flow modelling workflow to tackle structural uncertainty using LoopStructural and MODFLOW K. Bardot et al.
121. A machine learning model for structural trend fields Í. Gonçalves et al.
122. Geological Modelling of Urban Environments Under Data Uncertainty C. Ntigkakis et al.
123. 数据和知识融合的Bayesian-MCMC三维地质建模 L. Wang et al.
124. Integrative analysis of the Aachen geothermal system (Germany) with an interdisciplinary conceptual model E. Gómez-Díaz et al.
125. Geophysical tomography as a tool to estimate the geometry of soil layers: relevance for the reliability assessment of dikes J. Chavez Olalla et al.
126. Structure-based geophysical inversion using implicit geological models A. Balza-Morales et al.
127. Estimation of CO 2 saturation maps from synthetic seismic data using a deep-learning method with a multi-scale approach G. Pantaleo et al.
128. GeophysicalModelGenerator.jl: A Julia package to visualise geoscientific data and create numerical model setups B. Kaus et al.
129. Three-Dimensional Stratigraphic Structure and Property Collaborative Modeling in Urban Engineering Construction B. Zhang et al.
130. A lightweight convolutional neural network with end-to-end learning for three-dimensional mineral prospectivity modeling: A case study of the Sanhetun Area, Heilongjiang Province, Northeastern China B. Zhang et al.
131. Efficient geo-electromagnetic modeling techniques for complex geological structures: A karst MT example M. Liu et al.
132. A Python-enhanced urban land surface model SuPy (SUEWS in Python, v2019.2): development, deployment and demonstration T. Sun & S. Grimmond
133. Integrating fault kinematics into implicit 3D modelling of fault networks L. Grose et al.
134. Construction and Usefulness Verification of Modeling Method of Subsurface Soil Layers for Numerical Analysis of Urban Area Ground Motion H. Motoyama & M. Hori
135. From Maps to Models - Tutorials for structural geological modeling using GemPy and GemGIS A. Jüstel et al.
136. Vector-based three-dimensional (3D) well-path optimization assisted by geological modelling and borehole-log extraction M. Almedallah et al.
137. A geostatistical implicit modeling framework for uncertainty quantification of 3D geo-domain boundaries: Application to lithological domains from a porphyry copper deposit F. Fouedjio et al.
138. Kernel method for gravity forward simulation in implicit probabilistic geologic modeling Z. Liang et al.