Analysis of alternatives for oil field development under uncertainty

Juan Guillermo Lazo Lazo; Alexandre Anozé Emerick; Dan Posternak; Thiago Souza Mendes Guimarães; Marco Aurélio Cavalcanti Pacheco; Marley Maria Bernardes Rebuzzi Vellasco

doi:10.1007/978-3-540-93000-6_6

Analysis of alternatives for oil field development under uncertainty

Juan Guillermo Lazo Lazo, Alexandre Anozé Emerick, Dan Posternak, Thiago Souza Mendes Guimarães, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco

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

Abstract

The objective of this area of the project was to develop the foundations of a modular system for alternatives analysis that would allow the integration of the models presently studied (models for investment alternatives, expansion options and options to invest in information). The system makes it possible to work with several different oil fields, where each field can have several investment alternatives and each investment alternative can, for example, present options to invest in information and options to invest in several expansion wells. Technical uncertainties are represented by fuzzy numbers and the problem is solved by Monte Carlo simulation.

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	Heidelberg
Publisher	Springer Berlin
Pages	187-225
Number of pages	39
ISBN (Print)	9783540929994
DOIs	https://doi.org/10.1007/978-3-540-93000-6_6
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.

Access to Document

10.1007/978-3-540-93000-6_6

Cite this

Lazo, J. G. L., Emerick, A. A., Posternak, D., Guimarães, T. S. M., Pacheco, M. A. C., & Vellasco, M. M. B. R. (2009). Analysis of alternatives for oil field development under uncertainty. In M. A. C. Pacheco, & M. B. R. Vellasco (Eds.), Intelligent Systems in Oil Field Development under Uncertainty (pp. 187-225). (Studies in Computational Intelligence; Vol. 183). Springer Berlin. https://doi.org/10.1007/978-3-540-93000-6_6

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author = "Lazo, {Juan Guillermo Lazo} and Emerick, {Alexandre Anoz{\'e}} and Dan Posternak and Guimar{\~a}es, {Thiago Souza Mendes} and Pacheco, {Marco Aur{\'e}lio Cavalcanti} and Vellasco, {Marley Maria Bernardes Rebuzzi}",

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Lazo, JGL, Emerick, AA, Posternak, D, Guimarães, TSM, Pacheco, MAC & Vellasco, MMBR 2009, Analysis of alternatives for oil field development under uncertainty. in MAC Pacheco & MBR Vellasco (eds), Intelligent Systems in Oil Field Development under Uncertainty. Studies in Computational Intelligence, vol. 183, Springer Berlin, Heidelberg, pp. 187-225. https://doi.org/10.1007/978-3-540-93000-6_6

Analysis of alternatives for oil field development under uncertainty. / Lazo, Juan Guillermo Lazo; Emerick, Alexandre Anozé; Posternak, Dan et al.
Intelligent Systems in Oil Field Development under Uncertainty. ed. / Marco A.C. Pacheco; Marley B.R. Vellasco. Heidelberg: Springer Berlin, 2009. p. 187-225 (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 - Emerick, Alexandre Anozé

AU - Posternak, Dan

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AU - Pacheco, Marco Aurélio Cavalcanti

AU - Vellasco, Marley Maria Bernardes Rebuzzi

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N2 - The objective of this area of the project was to develop the foundations of a modular system for alternatives analysis that would allow the integration of the models presently studied (models for investment alternatives, expansion options and options to invest in information). The system makes it possible to work with several different oil fields, where each field can have several investment alternatives and each investment alternative can, for example, present options to invest in information and options to invest in several expansion wells. Technical uncertainties are represented by fuzzy numbers and the problem is solved by Monte Carlo simulation.

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Lazo JGL, Emerick AA, Posternak D, Guimarães TSM, Pacheco MAC, Vellasco MMBR. Analysis of alternatives for oil field development under uncertainty. In Pacheco MAC, Vellasco MBR, editors, Intelligent Systems in Oil Field Development under Uncertainty. Heidelberg: Springer Berlin. 2009. p. 187-225. (Studies in Computational Intelligence). doi: 10.1007/978-3-540-93000-6_6

Analysis of alternatives for oil field development under uncertainty

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