| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A direct mixed–enriched Galerkin method on quadrilaterals for two-phase Darcy flow
|
Arbogast, Todd
|
|
2019
|
23 |
5 |
p. 1141-1160
|
artikel
|
| 2 |
Advances in Gaussian random field generation: a review
|
Liu, Yang
|
|
2019
|
23 |
5 |
p. 1011-1047
|
artikel
|
| 3 |
An efficient high-order multiscale finite element method for frequency-domain elastic wave modeling
|
Fu, Shubin
|
|
2019
|
23 |
5 |
p. 997-1010
|
artikel
|
| 4 |
A trust region approach for numerical modeling of non-isothermal phase change
|
Amiri, Erfan A.
|
|
2019
|
23 |
5 |
p. 911-923
|
artikel
|
| 5 |
Bayesian model calibration and optimization of surfactant-polymer flooding
|
Naik, Pratik
|
|
2019
|
23 |
5 |
p. 981-996
|
artikel
|
| 6 |
Correction to: Constraint energy minimizing generalized multiscale finite element method in the mixed formulation
|
Chung, Eric
|
|
2019
|
23 |
5 |
p. 1217
|
artikel
|
| 7 |
Direct simulation of pore-scale two-phase visco-capillary flow on large digital rock images using a phase-field lattice Boltzmann method on general-purpose graphics processing units
|
Alpak, F. O.
|
|
2019
|
23 |
5 |
p. 849-880
|
artikel
|
| 8 |
Emulation of CPU-demanding reactive transport models: a comparison of Gaussian processes, polynomial chaos expansion, and deep neural networks
|
Laloy, Eric
|
|
2019
|
23 |
5 |
p. 1193-1215
|
artikel
|
| 9 |
Fast geostatistical seismic inversion coupling machine learning and Fourier decomposition
|
Nunes, Ruben
|
|
2019
|
23 |
5 |
p. 1161-1172
|
artikel
|
| 10 |
Hybrid hyperspectral image compression technique for non-iterative factorized tensor decomposition and principal component analysis: application for NASA’s AVIRIS data
|
S, Jeyakumar
|
|
2019
|
23 |
5 |
p. 969-979
|
artikel
|
| 11 |
Image-based simulations of absolute permeability with massively parallel pseudo-compressible stabilised finite element solver
|
Yang, Liang
|
|
2019
|
23 |
5 |
p. 881-893
|
artikel
|
| 12 |
Machine learning subsurface flow equations from data
|
Chang, Haibin
|
|
2019
|
23 |
5 |
p. 895-910
|
artikel
|
| 13 |
Markov chain random fields in the perspective of spatial Bayesian networks and optimal neighborhoods for simulation of categorical fields
|
Li, Weidong
|
|
2019
|
23 |
5 |
p. 1087-1106
|
artikel
|
| 14 |
Modeling mass transfer in fracture flows with the time domain-random walk method
|
Kuva, J.
|
|
2019
|
23 |
5 |
p. 953-967
|
artikel
|
| 15 |
Numerical investigation of a fully coupled micro-macro model for mineral dissolution and precipitation
|
Ray, Nadja
|
|
2019
|
23 |
5 |
p. 1173-1192
|
artikel
|
| 16 |
Parametric generation of conditional geological realizations using generative neural networks
|
Chan, Shing
|
|
2019
|
23 |
5 |
p. 925-952
|
artikel
|
| 17 |
Sequential model aggregation for production forecasting
|
Deswarte, Raphaël
|
|
2019
|
23 |
5 |
p. 1107-1124
|
artikel
|
| 18 |
Simulation of hydro-mechanically coupled processes in rough rock fractures using an immersed boundary method and variational transfer operators
|
Planta, Cyrill von
|
|
2019
|
23 |
5 |
p. 1125-1140
|
artikel
|
| 19 |
The development of a novel multi-objective optimization framework for non-vertical well placement based on a modified non-dominated sorting genetic algorithm-II
|
Rostamian, Auref
|
|
2019
|
23 |
5 |
p. 1065-1085
|
artikel
|
| 20 |
Value of information of time-lapse seismic data by simulation-regression: comparison with double-loop Monte Carlo
|
Dutta, Geetartha
|
|
2019
|
23 |
5 |
p. 1049-1064
|
artikel
|
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