Intelligent Systems in Oil Field Development under Uncertainty

Bibliographic Details
Corporate Author:	SpringerLink (Online service)
Other Authors:	Pacheco, Marco A. C. (Editor), Vellasco, Marley M. B. R. (Editor)
Format:	eBook
Language:	English
Published:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
Edition:	1st ed. 2009.
Series:	Studies in Computational Intelligence, 183
Subjects:	Applied mathematics. Engineering mathematics. Engineering economics. Engineering economy. Artificial intelligence. Chemical engineering. Environmental economics. Mathematical and Computational Engineering. Engineering Economics, Organization, Logistics, Marketing. Artificial Intelligence. Industrial Chemistry/Chemical Engineering. Environmental Economics.
Online Access:	https://doi.org/10.1007/978-3-540-93000-6

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.

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