Discrete-Time MILP Formulation for the Optimal Scheduling of Maintenance Tasks on Oil and Gas Production Assets
Author:
Affiliation:
1. INTEC (UNL-CONICET), Güemes 3450, 3000 Santa Fe, Argentina
2. Facultad de Ingeniería Química (UNL), Santiago del Estero 2829, 3000 Santa Fe, Argentina
Funder
Universidad Nacional del Litoral
Consejo Nacional de Investigaciones Cient?ficas y T?cnicas
Publisher
American Chemical Society (ACS)
Subject
Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry
Link
https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b00861
Reference26 articles.
1. U.S. Energy Information Administration (EIA). Annual Energy Outlook 2018 with Projections to 2050; Washington, DC, 2018.
2. A comparison of three metaheuristics for the workover rig routing problem
3. Handling constraints with an evolutionary tool for scheduling oil wells maintenance visits
4. Optimizing Workover Rig Fleet Sizing and Scheduling Using Deterministic and Stochastic Programming Models
5. Scheduling workover rigs for onshore oil production
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