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...
Zapisane w:
| 1. autor: | |
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| Kolejni autorzy: | , , , |
| Format: | Livre numérique |
| Język: | Anglais |
| Wydane: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Wydanie: | 1st ed. 2009. |
| Seria: | Studies in Computational Intelligence
183 |
| Dostęp online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Komentarz: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| 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 |
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| 041 | 0 | |a eng | |
| 082 | |a 519 | ||
| 100 | 1 | |a Pacheco, Marco A C. | |
| 245 | 1 | 0 | |a Intelligent systems in oil field development under uncertainty |c edited by Janusz Kacprzyk, Marco A. C. Pacheco, Marley M. B. R. Vellasco. |
| 250 | |a 1st ed. 2009. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Computational Intelligence |v 183 |x 1860-9503 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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 used with success by companies and organizations that are looking for competitive advantages whenever the issues on forecast, optimization, risks analysis, fraud detection, and decision under uncertainties are presented. Intelligent Systems (IS) offer to managers and decision makers the best solutions for complex applications, normally considered difficult, very restrictive or even impossible. The use of such techniques leads to a revolutionary process which has a significant impact in the business management strategy, by providing on time, correct information, ready to use. Computational intelligence techniques, especially genetic algorithms, genetic programming, neural networks, fuzzy logic and neuro-fuzzy as well as modern finance theories, such as real options theory, are here presented and exemplified in oil and gas exploitation and production. This book is addressed to executives and students, directly involved or interested in intelligent management in different fields | ||
| 700 | 1 | |a Vellasco, Marley M B R. |4 edt | |
| 700 | 1 | |a Kacprzyk, Janusz, |d 1947- |4 pbd | |
| 700 | 1 | |a Carrillo Pacheco, Marco A. |4 pbd | |
| 700 | 1 | |a Vellasco, Marley Maria B. R. |4 pbd | |
| 776 | 0 | |0 147181445 |t Intelligent systems in oil field development under uncertainty |f Marco A.C. Pacheco, Marley M.B.R. Vellasco (eds.) |d 2009 |c Berlin |n Springer Verlag |p 1 vol. (XIX-285 p.) |s Studies in computational intelligence |z 978-3-540-92999-4 | |
| 776 | 0 | |t Intelligent Systems in Oil Field Development under Uncertainty |b Texte imprimé |z 9783642100963 | |
| 776 | 0 | |t Intelligent Systems in Oil Field Development under Uncertainty |b Texte imprimé |z 9783540939306 | |
| 776 | 0 | |0 147181445 |t Intelligent systems in oil field development under uncertainty |f Marco A.C. Pacheco, Marley M.B.R. Vellasco (eds.) |d 2009 |c Berlin |n Springer Verlag |p 1 vol. (XIX-285 p.) |s Studies in computational intelligence |z 978-3-540-92999-4 | |
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