Derivative-free optimization for generalized oil field development
Abstract/Contents
- Abstract
- Given the substantial costs and potential rewards associated with petroleum field development and reservoir management, it is essential that these operations be performed as close to optimally as possible. This work presents numerical methods for field development optimization where the goal is to simultaneously determine the optimal number and type of new wells, the sequence in which they should be drilled, as well as their corresponding locations and (time-varying) controls. The optimization is posed as a mixed-integer nonlinear programming (MINLP) problem and involves categorical, integer-valued, and real-valued variables. The formulation handles bound, linear, and nonlinear constraints; the latter are treated using filter-based techniques. Noninvasive derivative-free approaches are applied for the optimizations. Methods considered include Mesh Adaptive Direct Search (MADS, a local pattern search method), Particle Swarm Optimization (PSO, a heuristic global search method) and a PSO-MADS hybrid. Single and biobjective optimization example cases are presented. These cases involve well control optimization, joint well placement and control, and generalized full-field development problems. Significant improvement over base-case field development plans is demonstrated in all cases and the PSO-MADS hybrid procedure is shown to outperform its component methods. It is concluded that, although demanding in terms of computation, the methodology presented here is applicable for realistic petroleum field development and reservoir management.
Description
| Type of resource | text |
|---|---|
| Form | electronic; electronic resource; remote |
| Extent | 1 online resource. |
| Publication date | 2013 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Associated with | Isebor, Obiajulu Joseph | |
|---|---|---|
| Associated with | Stanford University, Department of Energy Resources Engineering. | |
| Primary advisor | Durlofsky, Louis | |
| Thesis advisor | Durlofsky, Louis | |
| Thesis advisor | Aziz, Khalid | |
| Thesis advisor | Mukerji, Tapan, 1965- | |
| Advisor | Aziz, Khalid | |
| Advisor | Mukerji, Tapan, 1965- |
Subjects
| Genre | Theses |
|---|
Bibliographic information
| Statement of responsibility | Obiajulu Joseph Isebor. |
|---|---|
| Note | Submitted to the Department of Energy Resources Engineering. |
| Thesis | Thesis (Ph.D.)--Stanford University, 2013. |
| Location | electronic resource |
Access conditions
- Copyright
- © 2013 by Obiajulu Joseph Isebor
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...