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...
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
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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.