目录
- Recent progress and new developments of applications of artificial intelligence (AI), knowledge-based systems (KBS), and Machine Learning (ML) in the petroleum industry
- Big Data analytics in oil and gas industry: An emerging trend
- Towards explicit representation of an artificial neural network model: Comparison of two artificial neural network rule extraction approaches
- Artificial neural network model for predicting drill cuttings settling velocity
- CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms
- Pore volumes to breakthrough estimation in carbonate acidizing with hydrochloric acid by using an analytical derivation method
- Predicting the performance of steam assisted gravity drainage (SAGD) method utilizing artificial neural network (ANN)
- Transparent open-box learning network and artificial neural network predictions of bubble-point pressure compared
- Predictions of equilibrium solubility and mass transfer coefficient for CO2 absorption into aqueous solutions of 4-diethylamino-2-butanol using artificial neural networks
- In-situ stress inversion in Liard Basin, Canada, from caliper logs
- Prediction of oil flow rate through an orifice flow meter: Artificial intelligence alternatives compared
- Application of hybrid support vector regression artificial bee colony for prediction of MMP in CO2-EOR process
- Application of adaptive neuro-fuzzy inference system and data mining approach to predict lost circulation using DOE technique (case study: Maroon oilfield)
- Poroelastoplastic reservoir modeling by tangent stiffness matrix method