High-performance processing for E&P

Yván Jesús Túpac Valdivia; Juan Guillermo Lazo Lazo; Dan Posternak

doi:10.1007/978-3-540-93000-6_7

High-performance processing for E&P

Yván Jesús Túpac Valdivia
, Juan Guillermo Lazo Lazo
, Dan Posternak

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

Abstract

This chapter addresses the modeling and development of the modules that use distributed processing systems so as to achieve a high performance in processes for the optimization of alternatives [1] [2] [3] (GA, CA, Cooperative Coevolution Algorithm, Schedule Optimization), for distributed simulations of "random" alternatives, for case simulations and for distributed Monte Carlo simulations.

Original language	English
Title of host publication	Intelligent Systems in Oil Field Development under Uncertainty
Editors	Marco A.C. Pacheco, Marley B.R. Vellasco
Place of Publication	Heildelberg
Publisher	Springer Berlin
Pages	227-239
Number of pages	13
ISBN (Print)	9783540929994
DOIs	https://doi.org/10.1007/978-3-540-93000-6_7
State	Published - 2009
Externally published	Yes

Publication series

Name	Studies in Computational Intelligence
Volume	183
ISSN (Print)	1860-949X

Bibliographical note

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

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10.1007/978-3-540-93000-6_7

Cite this

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abstract = "This chapter addresses the modeling and development of the modules that use distributed processing systems so as to achieve a high performance in processes for the optimization of alternatives [1] [2] [3] (GA, CA, Cooperative Coevolution Algorithm, Schedule Optimization), for distributed simulations of {"}random{"} alternatives, for case simulations and for distributed Monte Carlo simulations.",

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High-performance processing for E&P. / Valdivia, Yván Jesús Túpac; Lazo, Juan Guillermo Lazo; Posternak, Dan.
Intelligent Systems in Oil Field Development under Uncertainty. ed. / Marco A.C. Pacheco; Marley B.R. Vellasco. Heildelberg: Springer Berlin, 2009. p. 227-239 (Studies in Computational Intelligence; Vol. 183).

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

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AU - Lazo, Juan Guillermo Lazo

AU - Posternak, Dan

PY - 2009

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AB - This chapter addresses the modeling and development of the modules that use distributed processing systems so as to achieve a high performance in processes for the optimization of alternatives [1] [2] [3] (GA, CA, Cooperative Coevolution Algorithm, Schedule Optimization), for distributed simulations of "random" alternatives, for case simulations and for distributed Monte Carlo simulations.

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A2 - Vellasco, Marley B.R.

PB - Springer Berlin

CY - Heildelberg

ER -

High-performance processing for E&P

Abstract

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