Title | Journal | Journal Categories | Citations | Publication Date |
---|---|---|---|---|
10.2118/0818-0050-JPT | Scientia Paedagogica Experimentalis | 2018 | ||
Predicting oil price movements: A dynamic Artificial Neural Network approach | Energy Policy |
| 51 | 2014 |
Artificial intelligence techniques and their applications in drilling fluid engineering: A review | Journal of Petroleum Science and Engineering |
| 81 | 2018 |
Formation mechanisms and morphological effects on multi-properties of carbon nanotube fibers and their polyimide aerogel-coated composites | Composites Science and Technology |
| 36 | 2015 |
10.4028/www.scientific.net/AMR.616-618.1008 | Advances in materials Research |
| 2012 |
Title | Journal | Journal Categories | Citations | Publication Date |
---|---|---|---|---|
Estimating hydrocarbon recovery factor at reservoir scale via machine learning: Database-dependent accuracy and reliability | Engineering Applications of Artificial Intelligence |
| 2024 | |
An uncertainty approach for Electric Submersible Pump modeling through Deep Neural Network | Heliyon | 2024 | ||
A Target-Aware Well Path Control Method Based on Transfer Reinforcement Learning | SPE Journal |
| 2024 | |
Application of Machine Learning and Optimization of Oil Recovery and CO2 Sequestration in the Tight Oil Reservoir | SPE Journal |
| 2024 | |
Prediction of Total Petroleum Hydrocarbons and Heavy Metals in Acid Tars Using Machine Learning | Applied Sciences |
| 2024 |