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Intelligent Systems in Oil Field Development under Uncertainty

  • Marco A. C. Pacheco
  • Marley M. B. R. Vellasco

Part of the Studies in Computational Intelligence book series (SCI, volume 183)

Table of contents

  1. Front Matter
  2. Alexandre Anozé Emerick, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco, Marco Antonio G. Dias, Juan Guillermo Lazo Lazo
    Pages 1-5
  3. Juan Guillermo Lazo Lazo, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco
    Pages 7-22
  4. André Vargas Abs da Cruz, Carlos Hall Barbosa, Juan Guillermo Lazo Lazo, Karla Figueiredo, Luciana Faletti Almeida, Marco Aurélio Cavalcanti Pacheco et al.
    Pages 23-96
  5. Alexandre Anozé Emerick, Yván Jesús Túpac Valdivia, Luciana Faletti Almeida, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco, Ricardo Cunha Mattos Portella
    Pages 97-137
  6. Juan Guillermo Lazo Lazo, Marco Antonio G. Dias, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco
    Pages 139-186
  7. Juan Guillermo Lazo Lazo, Alexandre Anozé Emerick, Dan Posternak, Thiago Souza Mendes Guimarães, Marco Aurélio Cavalcanti Pacheco, Marley Maria Bernardes Rebuzzi Vellasco
    Pages 187-225
  8. Yván Jesús Túpac Valdivia, Juan Guillermo Lazo Lazo, Dan Posternak
    Pages 227-239
  9. Juan Guillermo Lazo Lazo
    Pages 241-242
  10. Juan Guillermo Lazo Lazo
    Pages 243-246
  11. Juan Guillermo Lazo Lazo
    Pages 247-253
  12. Juan Guillermo Lazo Lazo
    Pages 265-272
  13. Yván Jesús Túpac Valdivia
    Pages 277-285
  14. Back Matter

About this book

Introduction

Intelligent Systems use a range of methodologies for analysis, pre-processing, storage, organization, enhancing and mining of operational data, turning it into useful information and knowledge for decision makers in business enterprises. These intelligent technologies for decision support have been used with success by companies and organizations that are looking for competitive advantages whenever the issues on forecast, optimization, risks analysis, fraud detection, and decision under uncertainties are presented.

Intelligent Systems (IS) offer to managers and decision makers the best solutions for complex applications, normally considered difficult, very restrictive or even impossible. The use of such techniques leads to a revolutionary process which has a significant impact in the business management strategy, by providing on time, correct information, ready to use. Computational intelligence techniques, especially genetic algorithms, genetic programming, neural networks, fuzzy logic and neuro-fuzzy as well as modern finance theories, such as real options theory, are here presented and exemplified in oil and gas exploitation and production. This book is addressed to executives and students, directly involved or interested in intelligent management in different fields.

Keywords

algorithm algorithms combinatorial optimization computational intelligence development electrical engineering fuzzy fuzzy logic fuzzy system genetic algorithms intelligence neural networks optimization simulation uncertainty

Editors and affiliations

  • Marco A. C. Pacheco
    • 1
  • Marley M. B. R. Vellasco
    • 1
  1. 1.PUC-RioRio de JaneiroBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-93000-6
  • Copyright Information Springer Berlin Heidelberg 2009
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-540-92999-4
  • Online ISBN 978-3-540-93000-6
  • Series Print ISSN 1860-949X
  • Series Online ISSN 1860-9503
  • Buy this book on publisher's site