Treffer: Scheduling workover rigs for onshore oil production

Title:
Scheduling workover rigs for onshore oil production
Authors:
ALOISE, Dario J, ALOISE, Daniel, ROCHA, Caroline T. M, RIBEIRO, Celso C, RIBEIRO FILHO, José C, MOURA, Luiz S. S
Source:
IV ALIO/EURO Workshop on Applied Combinatorial Optimization, Pucón, Chile, November 4-6, 2002Discrete applied mathematics. 154(5):695-702
Publisher Information:
Amsterdam; Lausanne; New York, NY: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 6 ref
Original Material:
INIST-CNRS
Subject Terms:
Control theory, operational research, Automatique, recherche opérationnelle, Computer science, Informatique, Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Recherche operationnelle. Gestion, Operational research. Management science, Recherche opérationnelle et modèles formalisés de gestion, Operational research and scientific management, Optimisation. Problèmes de recherche, Optimization. Search problems, Ordonnancement, Scheduling, sequencing, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Informatique théorique, Theoretical computing, Algorithmique. Calculabilité. Arithmétique ordinateur, Algorithmics. Computability. Computer arithmetics, Décision, Decision, Decisión, Horaire, Schedule, Horario, Optimisation combinatoire, Combinatorial optimization, Optimización combinatoria, Ordonnancement, Scheduling, Reglamento, Problème recherche, Search problem, Problema investigación, Heuristique, Production pétrole, Oil production, VNS, Heuristics, Workover rigs
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Departmento de Informática e Matemdtica Aplicada, Universidade Federal do Rio Grande do Norte, Natal, RN 59072-970, Brazil
Department of Computer Science, Catholic University of Rio de Janeiro, Rio de Janeiro, RJ 22453-900, Brazil
Gerência de Elevação de Petróleo, Petrobras, Natal, RN 59064-100, Brazil
ISSN:
0166-218X
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=17635758
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems

Operational research. Management
Accession Number:
edscal.17635758
Database:
PASCAL Archive

Weitere Informationen

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.