Name
Abstract | ||
|---|---|---|
Debottlenecking is highly desirable to increase the production throughput for the oil sands industry. In this work, the bottleneck identification and capacity expansion problem is solved through optimization techniques. In the proposed debottlenecking procedure, first-principles method and Gaussian process modeling approach are applied to build process models. Depending on the type of process model used, the optimization problem is solved either as a parametric linear programming problem or as a nonlinear optimization problem. By solving the optimization problem, the bottlenecks can be identified and the necessary capacity expansion for process units for bottleneck removal is reported. The proposed method is demonstrated through applications in oil sands production process. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11590-018-1349-4 | Optimization Letters |
Keywords | DocType | Volume |
Debottlenecking, Gaussian process modeling, Parametric linear programming, Nonlinear optimization | Journal | 14 |
Issue | ISSN | Citations |
4 | 1862-4480 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuan Yuan | 1 | 301 | 26.63 |
| Zukui Li | 2 | 125 | 10.08 |
| Biao Huang | 3 | 746 | 120.96 |