| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique (case study: Maroon oilfield)
|
Agin, Farough
|
|
|
6 |
4 |
p. 423-437
|
artikel
|
| 2 |
Application of hybrid support vector regression artificial bee colony for prediction of MMP in CO2-EOR process
|
Nait Amar, Menad
|
|
|
6 |
4 |
p. 415-422
|
artikel
|
| 3 |
Artificial neural network model for predicting drill cuttings settling velocity
|
Agwu, Okorie E.
|
|
|
6 |
4 |
p. 340-352
|
artikel
|
| 4 |
Big Data analytics in oil and gas industry: An emerging trend
|
Mohammadpoor, Mehdi
|
|
|
6 |
4 |
p. 321-328
|
artikel
|
| 5 |
CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms
|
Bristone, Makumbonori
|
|
|
6 |
4 |
p. 353-361
|
artikel
|
| 6 |
In-situ stress inversion in Liard Basin, Canada, from caliper logs
|
Han, Hongxue
|
|
|
6 |
4 |
p. 392-403
|
artikel
|
| 7 |
Pore volumes to breakthrough estimation in carbonate acidizing with hydrochloric acid by using an analytical derivation method
|
Lohrasb, Sina
|
|
|
6 |
4 |
p. 362-367
|
artikel
|
| 8 |
Poroelastoplastic reservoir modeling by tangent stiffness matrix method
|
Zhang, Lijing
|
|
|
6 |
4 |
p. 438-450
|
artikel
|
| 9 |
Predicting the performance of steam assisted gravity drainage (SAGD) method utilizing artificial neural network (ANN)
|
Ansari, Areeba
|
|
|
6 |
4 |
p. 368-374
|
artikel
|
| 10 |
Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared
|
Ghorbani, Hamzeh
|
|
|
6 |
4 |
p. 404-414
|
artikel
|
| 11 |
Predictions of equilibrium solubility and mass transfer coefficient for CO2 absorption into aqueous solutions of 4-diethylamino-2-butanol using artificial neural networks
|
Meesattham, Sutida
|
|
|
6 |
4 |
p. 385-391
|
artikel
|
| 12 |
Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry
|
Tontiwachwuthikul, Paitoon (PT)
|
|
|
6 |
4 |
p. 319-320
|
artikel
|
| 13 |
Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches
|
Chan, Veronica K.H.
|
|
|
6 |
4 |
p. 329-339
|
artikel
|
| 14 |
Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared
|
Wood, David A.
|
|
|
6 |
4 |
p. 375-384
|
artikel
|
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