| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6641254 | Fuel | 2013 | 13 Pages |
Abstract
⺠Steamflooding is studied through field data, PSO-ANN, and statistical approaches. ⺠Predictive tools are developed to predict steamflooding performance in NFCRs. ⺠PSO-ANN combines local and global searching abilities of ANN and PSO, respectively. ⺠Fracture permeability has a significant impact on the steamflooding performance. ⺠Reasonable agreement is observed between the predictions and experimental data.
Related Topics
Physical Sciences and Engineering
Chemical Engineering
Chemical Engineering (General)
Authors
Ali Shafiei, Maurice B. Dusseault, Sohrab Zendehboudi, Ioannis Chatzis,