Evolutionary computation for valves control optimization in intelligent wells under uncertainties

Luciana Faletti Almeida; Yván J. Valdivia; Juan G. Lazo; Marco A. Pacheco; Marley M. Vellasco

doi:10.1007/978-3-540-72434-6_42

Evolutionary computation for valves control optimization in intelligent wells under uncertainties

Luciana Faletti Almeida, Yván J. Valdivia, Juan G. Lazo, Marco A. Pacheco, Marley M. Vellasco

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This work presents a new decision support system for intelligent wells control considering technical uncertainties. The intelligent control of valves operation tends to become a competitive advantage for reservoirs development. Such control refers to the opening and shutting of the valves that distinguish the intelligent wells. The strategy consists in identifying a valve configuration that maximizes the net present value. The developed system uses Genetic Algorithms, reservoir simulation, Monte Carlo simulation, techniques of sampling variance reduction and uncertainties representation by probability distribution and geologic sceneries. The theoretical concepts applied and the implementation of a system capable of supporting, managing and developing the intelligent fields, constitute an advance to petroleum exploration area. The obtained results demonstrate that the approach given to the problem and the used methodologies deal with the control valves in an efficient and practical way.

Translated title of the contribution	Computación evolucionaria para optimización del control de válvulas en campos inteligentes bajo incertidumbre
Original language	English
Title of host publication	Theoretical Advances and Applications of Fuzzy Logic and Soft Computing
Editors	Oscar Castillo, Patricia Melin, Oscar Montiel Ross, Roberto Sepulveda Cruz, Witold Pedrycz, Janusz Kacprzyk
Place of Publication	Heidelberg
Publisher	Springer Berlin
Pages	425-434
Number of pages	10
Volume	42
Edition	1
ISBN (Electronic)	978-3-540-72434-6
ISBN (Print)	9783540724339
DOIs	https://doi.org/10.1007/978-3-540-72434-6_42
State	Published - 2007
Externally published	Yes

Publication series

Name	Advances in Soft Computing
Volume	42
ISSN (Print)	1615-3871
ISSN (Electronic)	1860-0794

Bibliographical note

Copyright:
Copyright 2009 Elsevier B.V., All rights reserved.

Keywords

Evolutionary computation
Intelligent fields
Intelligent wells
Uncertainties

Access to Document

10.1007/978-3-540-72434-6_42

Cite this

Almeida, L. F., Valdivia, Y. J., Lazo, J. G., Pacheco, M. A., & Vellasco, M. M. (2007). Evolutionary computation for valves control optimization in intelligent wells under uncertainties. In O. Castillo, P. Melin, O. M. Ross, R. S. Cruz, W. Pedrycz, & J. Kacprzyk (Eds.), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (1 ed., Vol. 42, pp. 425-434). (Advances in Soft Computing; Vol. 42). Springer Berlin. https://doi.org/10.1007/978-3-540-72434-6_42

Almeida, Luciana Faletti ; Valdivia, Yván J. ; Lazo, Juan G. et al. / Evolutionary computation for valves control optimization in intelligent wells under uncertainties. Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. editor / Oscar Castillo ; Patricia Melin ; Oscar Montiel Ross ; Roberto Sepulveda Cruz ; Witold Pedrycz ; Janusz Kacprzyk. Vol. 42 1. ed. Heidelberg : Springer Berlin, 2007. pp. 425-434 (Advances in Soft Computing).

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abstract = "This work presents a new decision support system for intelligent wells control considering technical uncertainties. The intelligent control of valves operation tends to become a competitive advantage for reservoirs development. Such control refers to the opening and shutting of the valves that distinguish the intelligent wells. The strategy consists in identifying a valve configuration that maximizes the net present value. The developed system uses Genetic Algorithms, reservoir simulation, Monte Carlo simulation, techniques of sampling variance reduction and uncertainties representation by probability distribution and geologic sceneries. The theoretical concepts applied and the implementation of a system capable of supporting, managing and developing the intelligent fields, constitute an advance to petroleum exploration area. The obtained results demonstrate that the approach given to the problem and the used methodologies deal with the control valves in an efficient and practical way.",

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Almeida, LF, Valdivia, YJ, Lazo, JG, Pacheco, MA & Vellasco, MM 2007, Evolutionary computation for valves control optimization in intelligent wells under uncertainties. in O Castillo, P Melin, OM Ross, RS Cruz, W Pedrycz & J Kacprzyk (eds), Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. 1 edn, vol. 42, Advances in Soft Computing, vol. 42, Springer Berlin, Heidelberg, pp. 425-434. https://doi.org/10.1007/978-3-540-72434-6_42

Evolutionary computation for valves control optimization in intelligent wells under uncertainties. / Almeida, Luciana Faletti; Valdivia, Yván J.; Lazo, Juan G. et al.
Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. ed. / Oscar Castillo; Patricia Melin; Oscar Montiel Ross; Roberto Sepulveda Cruz; Witold Pedrycz; Janusz Kacprzyk. Vol. 42 1. ed. Heidelberg: Springer Berlin, 2007. p. 425-434 (Advances in Soft Computing; Vol. 42).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Evolutionary computation for valves control optimization in intelligent wells under uncertainties

AU - Almeida, Luciana Faletti

AU - Valdivia, Yván J.

AU - Lazo, Juan G.

AU - Pacheco, Marco A.

AU - Vellasco, Marley M.

N1 - https://doi.org/10.1007/978-3-540-72434-6_42

PY - 2007

Y1 - 2007

N2 - This work presents a new decision support system for intelligent wells control considering technical uncertainties. The intelligent control of valves operation tends to become a competitive advantage for reservoirs development. Such control refers to the opening and shutting of the valves that distinguish the intelligent wells. The strategy consists in identifying a valve configuration that maximizes the net present value. The developed system uses Genetic Algorithms, reservoir simulation, Monte Carlo simulation, techniques of sampling variance reduction and uncertainties representation by probability distribution and geologic sceneries. The theoretical concepts applied and the implementation of a system capable of supporting, managing and developing the intelligent fields, constitute an advance to petroleum exploration area. The obtained results demonstrate that the approach given to the problem and the used methodologies deal with the control valves in an efficient and practical way.

AB - This work presents a new decision support system for intelligent wells control considering technical uncertainties. The intelligent control of valves operation tends to become a competitive advantage for reservoirs development. Such control refers to the opening and shutting of the valves that distinguish the intelligent wells. The strategy consists in identifying a valve configuration that maximizes the net present value. The developed system uses Genetic Algorithms, reservoir simulation, Monte Carlo simulation, techniques of sampling variance reduction and uncertainties representation by probability distribution and geologic sceneries. The theoretical concepts applied and the implementation of a system capable of supporting, managing and developing the intelligent fields, constitute an advance to petroleum exploration area. The obtained results demonstrate that the approach given to the problem and the used methodologies deal with the control valves in an efficient and practical way.

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KW - Intelligent fields

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KW - Uncertainties

KW - Intelligent wells

KW - Intelligent Fields

KW - Evolutionary computation

KW - Uncertainties

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SN - 9783540724339

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T3 - Advances in Soft Computing

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BT - Theoretical Advances and Applications of Fuzzy Logic and Soft Computing

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A2 - Melin, Patricia

A2 - Ross, Oscar Montiel

A2 - Cruz, Roberto Sepulveda

A2 - Pedrycz, Witold

A2 - Kacprzyk, Janusz

PB - Springer Berlin

CY - Heidelberg

ER -

Almeida LF, Valdivia YJ, Lazo JG, Pacheco MA, Vellasco MM. Evolutionary computation for valves control optimization in intelligent wells under uncertainties. In Castillo O, Melin P, Ross OM, Cruz RS, Pedrycz W, Kacprzyk J, editors, Theoretical Advances and Applications of Fuzzy Logic and Soft Computing. 1 ed. Vol. 42. Heidelberg: Springer Berlin. 2007. p. 425-434. (Advances in Soft Computing). doi: 10.1007/978-3-540-72434-6_42

Evolutionary computation for valves control optimization in intelligent wells under uncertainties

Abstract

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Keywords

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