Name
Abstract | ||
|---|---|---|
Many oil wells in Brazilian onshore fields rely on artificial lift methods. Maintenance services such as cleaning; reinstatement, stimulation and others are essential to these wells. These services are performed by workover rigs, which are available on a limited number with respect to the number of wells demanding service. The decision of which workover rig should be sent to perform some maintenance service is based on factors such as the well production, the current location of the workover rig in relation to the demanding well, and the type of service to be performed. The problem of scheduling workover rigs consists in finding the best schedule for the available workover rigs, so as to minimize the production loss associated with the wells awaiting for service. We propose a variable neighborhood search (VNS) heuristic for this problem. Computational results on real-life problems are reported and their economic impacts are evaluated. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1016/j.dam.2004.09.021 | Discrete Applied Mathematics |
Keywords | Field | DocType |
onshore oil production,heuristics,brazilian onshore field,workover rigs,best schedule,maintenance service,oil production,combinatorial optimization,oil well,production loss,real-life problem,workover rig,available workover rig,artificial lift method,vns,limited number,economic impact,type of service | Discrete mathematics,Artificial lift,Heuristic,Workover,Variable neighborhood search,Scheduling (computing),Petroleum engineering,Combinatorial optimization,Heuristics,Search problem,Mathematics | Journal |
Volume | Issue | ISSN |
154 | 5 | Discrete Applied Mathematics |
Citations | PageRank | References |
15 | 0.84 | 3 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dario J. Aloise | 1 | 70 | 4.08 |
| Daniel Aloise | 2 | 344 | 24.21 |
| Caroline T. M. Rocha | 3 | 32 | 2.29 |
| Celso C. Ribeiro | 4 | 1436 | 99.97 |
| José C. Ribeiro Filho | 5 | 15 | 0.84 |
| Luiz S. S. Moura | 6 | 15 | 0.84 |