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2020年4期

Petroleum

上一期下一期瀏覽往期

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

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