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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...
| Call Number: | Libro Electrónico |
|---|---|
| Corporate Author: | |
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edition: | 1st ed. 2009. |
| Series: | Studies in Computational Intelligence,
183 |
| Subjects: | |
| Online Access: | Texto Completo |
Table of Contents:
- 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.