| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Application of neural network to speed-up equilibrium calculations in compositional reservoir simulation
|
Barros, Wagner Q.
|
|
|
2 |
C |
p. 202-214
|
artikel
|
| 2 |
Arriving at estimates of a rate and state fault friction model parameter using Bayesian inference and Markov chain Monte Carlo
|
Dana, Saumik
|
|
|
2 |
C |
p. 171-178
|
artikel
|
| 3 |
Capsule network-based approach for estimating grassland coverage using time series data from enhanced vegetation index
|
Sun, Yaqi
|
|
|
2 |
C |
p. 26-34
|
artikel
|
| 4 |
Classification random forest with exact conditioning for spatial prediction of categorical variables
|
Fouedjio, Francky
|
|
|
2 |
C |
p. 82-95
|
artikel
|
| 5 |
Data-driven approaches for time series prediction of daily production in the Sulige tight gas field, China
|
Zhang, Qi
|
|
|
2 |
C |
p. 165-170
|
artikel
|
| 6 |
Deep convolutional autoencoders as generic feature extractors in seismological applications
|
Kong, Qingkai
|
|
|
2 |
C |
p. 96-106
|
artikel
|
| 7 |
Enhancing lithofacies machine learning predictions with gamma-ray attributes for boreholes with limited diversity of recorded well logs
|
Wood, David A.
|
|
|
2 |
C |
p. 148-164
|
artikel
|
| 8 |
Flood susceptibility assessment using artificial neural networks in Indonesia
|
Priscillia, Stela
|
|
|
2 |
C |
p. 215-222
|
artikel
|
| 9 |
Hydrocarbon detections using multi-attributes based quantum neural networks in a tight sandstone gas reservoir in the Sichuan Basin, China
|
Xue, Ya-juan
|
|
|
2 |
C |
p. 107-114
|
artikel
|
| 10 |
Machine learning-based prediction of trace element concentrations using data from the Karoo large igneous province and its application in prospectivity mapping
|
Zhang, Steven E.
|
|
|
2 |
C |
p. 60-75
|
artikel
|
| 11 |
Microleveling aerogeophysical data using deep convolutional network and MoG-RPCA
|
Li, Xinze
|
|
|
2 |
C |
p. 20-25
|
artikel
|
| 12 |
Near-surface velocity inversion from Rayleigh wave dispersion curves based on a differential evolution simulated annealing algorithm
|
Wang, Yaojun
|
|
|
2 |
C |
p. 35-46
|
artikel
|
| 13 |
Random forest for spatial prediction of censored response variables
|
Fouedjio, Francky
|
|
|
2 |
C |
p. 115-127
|
artikel
|
| 14 |
Rapid identification of high-quality marine shale gas reservoirs based on the oversampling method and random forest algorithm
|
Zhu, Linqi
|
|
|
2 |
C |
p. 76-81
|
artikel
|
| 15 |
Site suitability for Aromatic Rice cultivation by integrating Geo-spatial and Machine learning algorithms in Kaliyaganj C.D. block, India
|
Sarkar, Debabrata
|
|
|
2 |
C |
p. 179-191
|
artikel
|
| 16 |
Sparse inversion-based seismic random noise attenuation via self-paced learning
|
Yang, Yang
|
|
|
2 |
C |
p. 223-233
|
artikel
|
| 17 |
The benefits and dangers of using artificial intelligence in petrophysics
|
Cuddy, Steve
|
|
|
2 |
C |
p. 1-10
|
artikel
|
| 18 |
The potential of self-supervised networks for random noise suppression in seismic data
|
Birnie, Claire
|
|
|
2 |
C |
p. 47-59
|
artikel
|
| 19 |
Towards a fully data-driven prospectivity mapping methodology: A case study of the Southeastern Churchill Province, Québec and Labrador
|
Zhang, Steven E.
|
|
|
2 |
C |
p. 128-147
|
artikel
|
| 20 |
Unilateral Alignment: An interpretable machine learning method for geophysical logs calibration
|
Zhang, Wenting
|
|
|
2 |
C |
p. 192-201
|
artikel
|
| 21 |
Wavefield solutions from machine learned functions constrained by the Helmholtz equation
|
Alkhalifah, Tariq
|
|
|
2 |
C |
p. 11-19
|
artikel
|
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