| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Adaptive regularization for the Richards equation
|
Févotte, François
|
|
|
28 |
6 |
p. 1371-1388
|
artikel
|
| 2 |
A discrete fracture matrix framework for simulating single-phase flow and non-isothermal reactive transport
|
Banshoya, Shin Irgens
|
|
|
28 |
6 |
p. 1483-1500
|
artikel
|
| 3 |
A general approach to computing derivatives for Hessian-based seismic inversion
|
Silva, Bruno S.
|
|
|
28 |
6 |
p. 1233-1250
|
artikel
|
| 4 |
A modified Flux Corrected Transport method coupled with the MPFA-H formulation for the numerical simulation of two-phase flows in petroleum reservoirs using 2D unstructured meshes
|
da Silva, Phillipe C. G.
|
|
|
28 |
6 |
p. 1149-1173
|
artikel
|
| 5 |
A novel hierarchical model calibration method for deep water reservoirs under depletion and aquifer influence
|
Li, Ao
|
|
|
28 |
6 |
p. 1131-1147
|
artikel
|
| 6 |
A numerical model for offshore Geological Carbon Storage (GCS) undergoing hydrate formation
|
Wang, Yufei
|
|
|
28 |
6 |
p. 1085-1097
|
artikel
|
| 7 |
Application of a dispersive wave hydro-sediment-morphodynamic model in the Ria Formosa lagoon
|
Kazhyken, Kazbek
|
|
|
28 |
6 |
p. 1031-1047
|
artikel
|
| 8 |
Application of deep learning reduced-order modeling for single-phase flow in faulted porous media
|
Ballini, Enrico
|
|
|
28 |
6 |
p. 1279-1303
|
artikel
|
| 9 |
Application of supervised machine learning to assess and manage fluid-injection-induced seismicity hazards based on the Montney region of northeastern British Columbia
|
Amini, Afshin
|
|
|
28 |
6 |
p. 1251-1277
|
artikel
|
| 10 |
A recipe to generate sustainably maintainable and extensible hydrogeological datasets to prepare large-scale groundwater models for multiple aquifer systems
|
Siebert, Christian
|
|
|
28 |
6 |
p. 1217-1232
|
artikel
|
| 11 |
A sensitivity analysis of the impact of shut-in water cut of reactive control on net present value of waterflooding under reservoir uncertainty
|
Freitas, Vinícius Rafael de
|
|
|
28 |
6 |
p. 1459-1482
|
artikel
|
| 12 |
Auto-weighted Bayesian Physics-Informed Neural Networks and robust estimations for multitask inverse problems in pore-scale imaging of dissolution
|
Perez, Sarah
|
|
|
28 |
6 |
p. 1175-1215
|
artikel
|
| 13 |
Consistent prediction of well paths and geological surfaces
|
Vázquez, Ariel Almendral
|
|
|
28 |
6 |
p. 1099-1113
|
artikel
|
| 14 |
Contact algorithm of the material point method and comparison with the finite element method
|
Huang, Peng
|
|
|
28 |
6 |
p. 1015-1030
|
artikel
|
| 15 |
Deep learning surrogate for predicting hydraulic conductivity tensors from stochastic discrete fracture-matrix models
|
Špetlík, Martin
|
|
|
28 |
6 |
p. 1425-1440
|
artikel
|
| 16 |
Determining optimal controls placed on injection/production wells during waterflooding in heterogeneous oil reservoirs using artificial neural network models and multi-objective genetic algorithm
|
Nwanwe, Onyebuchi Ivan
|
|
|
28 |
6 |
p. 991-1013
|
artikel
|
| 17 |
High-order exponential integration for seismic wave modeling
|
Ravelo, Fernando V.
|
|
|
28 |
6 |
p. 1349-1369
|
artikel
|
| 18 |
High-speed algorithm for computing the inflow to multiple-fractured horizontal wells using stream tubes
|
Potashev, Konstantin
|
|
|
28 |
6 |
p. 1389-1411
|
artikel
|
| 19 |
Incorporating spatial variability in surface runoff modeling with new DEM-based distributed approaches
|
Lima, Dário Macedo
|
|
|
28 |
6 |
p. 1331-1348
|
artikel
|
| 20 |
Less-Intrusive Consistent Discretization Methods for Reservoir Simulation on Cut-cell Grids – Algorithms, Implementation, and Testing
|
Alpak, Faruk O.
|
|
|
28 |
6 |
p. 1059-1084
|
artikel
|
| 21 |
Modeling alterations in relative permeability curves due to salinity using artificial neural networks
|
Czarnobay, Vinicius
|
|
|
28 |
6 |
p. 1115-1129
|
artikel
|
| 22 |
Neural networks for source mechanism inversion from surface microseismic data
|
Konyukhov, Grigory
|
|
|
28 |
6 |
p. 1413-1424
|
artikel
|
| 23 |
Source localization in subsurface aquifers based on conservation data by learning a Gaussian kernel
|
Feng, Yin
|
|
|
28 |
6 |
p. 1441-1457
|
artikel
|
| 24 |
Towards practical artificial intelligence in Earth sciences
|
Sun, Ziheng
|
|
|
28 |
6 |
p. 1305-1329
|
artikel
|
| 25 |
Unsupervised segmentation for sandstone thin section image analysis
|
Barbosa, Rayan T. C. M.
|
|
|
28 |
6 |
p. 1049-1057
|
artikel
|
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