Intelligent Systems in Oil Field Development Under Uncertainty
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Intelligent Systems in Oil Field Development Under Uncertainty

Intelligent Systems in Oil Field Development Under Uncertainty


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About the Book

ANEPI: Economic Analysis of Oil Field Development Projects under Uncertainty.- Real Options Theory.- Decision Support Methods.- Intelligent Optimization System for Selecting Alternatives for Oil Field Exploration by Means of Evolutionary Computation.- Real Option Value Calculation by Monte Carlo Simulation and Approximation by Fuzzy Numbers and Genetic Algorithms.- Analysis of Alternatives for Oil Field Development under Uncertainty.- High-Performance Processing for E&P.- Appendix A - Types of Uncertainty in Investment Projects.- Appendix B - Variance Reduction Techniques.- Appendix C - Stochastic Processes.- Appendix D - Grant, Vora and Weeks Algorithm for Determining the Value of an American Option.- Appendix E - Calculation of the Mean Value and Variance of Fuzzy Numbers.- Appendix F - Real Options Valuation Methods.- Appendix G - Analytical Model of the Expansion Option Problem.- Appendix H - CORBA Architecture.
About the Author:

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


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Product Details
  • ISBN-13: 9783642100963
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Binding: Paperback
  • Height: 234 mm
  • No of Pages: 288
  • Series Title: Studies in Computational Intelligence
  • Weight: 485 gr
  • ISBN-10: 3642100961
  • Publisher Date: 28 Oct 2010
  • Edition: Softcover reprint of hardcover 1st ed. 2009
  • Language: English
  • Returnable: N
  • Spine Width: 17 mm
  • Width: 156 mm


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