Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models-Reference-Cited by-同舟云学术

Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models

Published:2018-05-11 Issue:22 Volume:57 Page:7544-7554
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Fernández Pérez Miguel A.¹²,Oliveira Fabricio³^ORCID,Hamacher Silvio¹

Affiliation:

1. Industrial Engineering Department, Pontifical Catholic University of Rio de Janeiro, Rio de Janeiro, RJ 22451-900, Brazil

2. Department of Engineering, Pontifical Catholic University of Peru, Lima 32, Peru

3. Systems Analysis Laboratory, Department of Mathematics and Systems Analysis, School of Science, Aalto University, FI-00076 AALTO, Finland

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

http://pubs.acs.org/doi/pdf/10.1021/acs.iecr.7b04500

Reference43 articles.

1. Integrated Oil-Field Management: From Well Placement and Planning to Production Scheduling

2. Soares, W. K. S.; Costa, A. P. C. S.; Aloise, D. J. Considerações sobre o problema do agendamento de sondas de manutenção onshore e proposição de instâncias (Considerations on the workover rig problem and proposing instances). Presented at the Brazilian Symposium on Operations Research, Ubatuba, SP, Brazil, Aug 15–18, 2011.

3. Scheduling workover rigs for onshore oil production

4. Gouvêa, E. F.; Goldbarg, M. C.; Costa, W. E. Algoritmos evolucionários na solução do problema de otimização do emprego de sondas de produção em poços de petróleo (Evolutionary algorithms for the workover rig problem). Present at the Brazilian Symposium on Operations Research, Rio de Janeiro, RJ, Brazil, Nov 8–11, 2002.

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