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Studies in Computational Intelligence

Intelligent Systems in Oil Field Development under Uncertainty

Editors: Pacheco, Marco A. C., Vellasco, Marley M. B. R. (Eds.)

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  • Presents applications of intelligent decision support systems to oil field development under uncertainty

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Softcover 174,94 €
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About this book

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.

About the authors

Marco Aurélio Cavalcanti Pacheco

• PhD in Computer Science, University College London, 1991.

• MSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1976.

• BSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1980.

• Professor (Electrical Engineering Department, Catholic University of Rio de Janeiro (Brazil),

PUC-Rio)

• Course Load: (3) post-graduate courses per year: Evolutionary Computation, Applied

Computational Intelligence, Intelligent Computational Nanotechnology ; (2) undergraduate

courses per year: Computer Systems (Logic Project), Evolutionary Computation.

• Currently advising (2) Ph.D. Thesis and (4) M.Sc Thesis (previously: 17 Ph.D., 30 M.Sc.)

• Publications (last 5 years): 3 papers in periodicals, 1 chapter of book, 41 full papers and 7

abstracts in Conference Proceedings.

Marley Maria Bernardes Rebuzzi Vellasco

• PhD in Computer Science, University College London, 1992.

• MSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1987.

• BSc in Electrical Engineering, Pontifical Catholic University of Rio de Janeiro, 1985.

• Professor (Electrical Engineering Department, Catholic University of Rio de Janeiro (Brazil),

PUC-Rio)

• Course Load: (3) post-graduate courses per year: Neural networks, Fuzzy Logic and Applied

Intelligent Systems; (1) undergraduate courses per year: Applied Computational Intelligence.

• Past Supervision: (19) Ph.D. Thesis and (35) M.Sc. Dissertations

• Currently advising: (4) Ph.D. Thesis and (6) M.Sc Dissertations

• Publications (last 5 years): 18 full papers in international periodicals, 2 book, 13 book chapters, 11

papers in Brazilian and Latin American periodicals, more than 190 full papers in Conference

Proceedings.

• Scientific and Technical Advisor for CAPES, CNPq and FAPERJ (Brazilian government agencies)

• Member of the Computation Brazilian Society (SBC)

• Member of the Sociedade Brasileira de Automática (SBA) associated to the International

Federation of Automatic Control (IFAC).

• Member of the IEEE Computational Intelligence Society

• Member of the Systems, Man & Cybernetics Society

• Senior Member of IEEE

Table of contents (15 chapters)

Table of contents (15 chapters)
  • ANEPI: Economic Analysis of Oil Field Development Projects under Uncertainty

    Pages 1-5

    Emerick, Alexandre Anozé (et al.)

  • Real Options Theory

    Pages 7-22

    Lazo, Juan Guillermo Lazo (et al.)

  • Decision Support Methods

    Pages 23-96

    Cruz, André Vargas Abs (et al.)

  • Intelligent Optimization System for Selecting Alternatives for Oil Field Exploration by Means of Evolutionary Computation

    Pages 97-137

    Emerick, Alexandre Anozé (et al.)

  • Real Option Value Calculation by Monte Carlo Simulation and Approximation by Fuzzy Numbers and Genetic Algorithms

    Pages 139-186

    Lazo, Juan Guillermo Lazo (et al.)

Buy this book

eBook 139,09 €
price for Spain (gross)
  • ISBN 978-3-540-93000-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 187,19 €
price for Spain (gross)
  • ISBN 978-3-540-92999-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 174,94 €
price for Spain (gross)
  • ISBN 978-3-642-10096-3
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Intelligent Systems in Oil Field Development under Uncertainty
Editors
  • Marco A. C. Pacheco
  • Marley M. B. R. Vellasco
Series Title
Studies in Computational Intelligence
Series Volume
183
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-540-93000-6
DOI
10.1007/978-3-540-93000-6
Hardcover ISBN
978-3-540-92999-4
Softcover ISBN
978-3-642-10096-3
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XX, 288
Topics

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