articleTop 1% cited
Time series forecasting of petroleum production using deep LSTM recurrent networks
Neurocomputing · 2018 · Vol. 323 · pp. 203–213
Alaa Sagheer✉(King Faisal University)Mostafa Kotb(Aswan University)
Reservoir Engineering and Simulation MethodsOil and Gas Production TechniquesHydrocarbon exploration and reservoir analysisSeries (stratigraphy)Computer scienceTime seriesPetroleumArtificial intelligenceProduction (economics)Machine learningOil productionPetroleum engineeringGeology
Funding
- Innovative Research Group Project of the National Natural Science Foundation of China
- King Faisal University
Citations
912
FWCI
63.56
field-weighted impact
References
49
Percentile
100%
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References
Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation
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A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition
Expert Systems with Applications · 2012 · 652 citations
Long Short-Term Memory
Neural Computation · 1997 · 95,078 citations
Deep learning
Nature · 2015 · 79,164 citations
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