Intelligent Systems in Oil Field Development under Uncertainty

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Pacheco, Marco A. C. (Επιμελητής έκδοσης), Vellasco, Marley M. B. R. (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Studies in Computational Intelligence, 183
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.