Intelligent Systems in Oil Field Development under Uncertainty
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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 Aurelio 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 Automatica (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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