Name
Abstract | ||
|---|---|---|
•An intelligent system for grouping of crude oils is proposed.•Hybrid K-means clustering and functional networks is used to predict PVT properties.•PVT properties are predicted with hybrid K-means clustering and functional networks.•The hybrid system outperforms all the compared existing methods. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1016/j.eswa.2017.06.014 | Expert Systems with Applications |
Keywords | Field | DocType |
PVT,API gravity,Clustering,Functional networks,Neural network,Black oil | Data mining,Computer science,Functional networks,Hybrid functional,Oil exploration,Artificial intelligence,Cluster analysis,Artificial neural network,Machine learning,API gravity,Petroleum reservoir | Journal |
Volume | Issue | ISSN |
87 | C | 0957-4174 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Munirudeen A. Oloso | 1 | 0 | 0.68 |
| Mohamed A. S. Hassan | 2 | 79 | 19.44 |
| Mohamed Bahy Bader-El-Den | 3 | 126 | 14.16 |
| James Buick | 4 | 0 | 0.68 |