47 citations as recorded by crossref.

1. Actors, actions, and uncertainties: optimizing decision-making based on 3-D structural geological models F. Stamm et al. 10.5194/se-10-2015-2019
2. LoopStructural 1.0: time-aware geological modelling L. Grose et al. 10.5194/gmd-14-3915-2021
3. Informed Local Smoothing in 3D Implicit Geological Modeling J. von Harten et al. 10.3390/min11111281
4. Model-Based Probabilistic Inversion Using Magnetic Data: A Case Study on the Kevitsa Deposit N. Güdük et al. 10.3390/geosciences11040150
5. 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
6. 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
7. 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
8. Integrated Geologic Modeling of Fault-Block Reservoir: A Case Study of Ss Oil Field Z. Xiao et al. 10.1155/2022/6864786
9. Constraining stochastic 3-D structural geological models with topology information using approximate Bayesian computation in GemPy 2.1 A. Schaaf et al. 10.5194/gmd-14-3899-2021
10. Deformation scale using harmonic curvature analysis: A case study from the Hamersley Province D. Nathan et al. 10.1016/j.jsg.2021.104302
11. Accelerating uncertainty quantification of groundwater flow modelling using a deep neural network proxy M. Lykkegaard et al. 10.1016/j.cma.2021.113895
12. 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
13. 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
14. 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
15. Modelling of faults in LoopStructural 1.0 L. Grose et al. 10.5194/gmd-14-6197-2021
16. 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
17. A machine learning model for structural trend fields Í. Gonçalves et al. 10.1016/j.cageo.2021.104715
18. GeoBO: Python package for Multi-Objective Bayesian Optimisation and Joint Inversion in Geosciences S. Haan 10.21105/joss.02690
19. The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials P. Ghamisi et al. 10.1109/JSTARS.2021.3108049
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. 10.1007/s10040-022-02464-x
21. Uncertainty assessment for 3D geologic modeling of fault zones based on geologic inputs and prior knowledge A. Krajnovich et al. 10.5194/se-11-1457-2020
22. An automatic geological 3D cross-section generator: Geopropy, an open-source library A. Hassanzadeh et al. 10.1016/j.envsoft.2022.105309
23. 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
24. 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
25. 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
26. 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
27. Towards an open-source landscape for 3-D CSEM modelling D. Werthmüller et al. 10.1093/gji/ggab238
28. Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging J. Giraud et al. 10.5194/se-11-419-2020
29. A model ensemble generator to explore structural uncertainty in karst systems with unmapped conduits C. Fandel et al. 10.1007/s10040-020-02227-6
30. 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
31. 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
32. Integrating fault kinematics into implicit 3D modelling of fault networks L. Grose et al. 10.1080/22020586.2019.12072997
33. 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
34. The role of geological models and uncertainties in safety assessments M. Bjorge et al. 10.1007/s12665-022-10305-z
35. Spatial agents for geological surface modelling E. de Kemp 10.5194/gmd-14-6661-2021
36. 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
37. 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
38. Virtual Reality Modelling of Garden Geography and Geology Based on 3D Modelling Technology Q. Zhang 10.1088/1742-6596/1952/2/022053
39. A probabilistic geologic model of the Krafla geothermal system constrained by gravimetric data S. Scott et al. 10.1186/s40517-019-0143-6
40. Vector-based three-dimensional (3D) well-path optimization assisted by geological modelling and borehole-log extraction M. Almedallah et al. 10.1016/j.upstre.2021.100053
41. 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. 10.1016/j.cageo.2021.104931
42. Certified reduced basis method in geosciences D. Degen et al. 10.1007/s10596-019-09916-6
43. Implicit Structural Modeling by Minimization of the Bending Energy with Moving Least Squares Functions J. Renaudeau et al. 10.1007/s11004-019-09789-6
44. What We Talk About When We Talk About Uncertainty. Toward a Unified, Data-Driven Framework for Uncertainty Characterization in Hydrogeology F. Heße et al. 10.3389/feart.2019.00118
45. Boundary simulation – a hierarchical approach for multiple categories F. Amarante et al. 10.1080/25726838.2021.1889295
46. Integration of geoscientific uncertainty into geophysical inversion by means of local gradient regularization J. Giraud et al. 10.5194/se-10-193-2019
47. Geometric Element Preserving Reconstruction of a Geological Surface S. Yu et al. 10.1007/s13369-021-05536-4