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...
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| Hovedforfatter: | |
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| Andre forfattere: | , , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2009. |
| Serier: | Studies in Computational Intelligence
183 |
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
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| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Intelligent systems in oil field development under uncertainty, Marco A.C. Pacheco, Marley M.B.R. Vellasco (eds.), 2009, Berlin, Springer Verlag, 1 vol. (XIX-285 p.), Studies in computational intelligence, 978-3-540-92999-4 • Intelligent Systems in Oil Field Development under Uncertainty, Texte imprimé, 9783642100963 • Intelligent Systems in Oil Field Development under Uncertainty, Texte imprimé, 9783540939306 • Intelligent systems in oil field development under uncertainty, Marco A.C. Pacheco, Marley M.B.R. Vellasco (eds.), 2009, Berlin, Springer Verlag, 1 vol. (XIX-285 p.), Studies in computational intelligence, 978-3-540-92999-4 |
Indholdsfortegnelse:
- 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