Intelligent Systems in Oil Field Development under Uncertainty:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Berlin ; Heidelberg
Springer
2009
|
| Series: | Studies in Computational Intelligence
183 |
| Subjects: | |
| Online Access: | DE-634 DE-92 DE-898 Volltext |
| Item Description: | 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 |
| Physical Description: | 1 Online-Ressource |
| ISBN: | 9783540930006 |
| DOI: | 10.1007/978-3-540-93000-6 |
Staff View
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| 505 | 0 | |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 | |
| 650 | 4 | |a Engineering | |
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| 650 | 4 | |a Artificial intelligence | |
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| 650 | 4 | |a Artificial Intelligence (incl. Robotics) | |
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| 650 | 4 | |a Environmental Economics | |
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Record in the Search Index
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| author | Pacheco, Marco Aurélio Cavalcanti Vellasco, Marley Maria Bernardes Rebuzzi |
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| 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 |
| ctrlnum | (OCoLC)698912730 (DE-599)BVBBV041889672 |
| dewey-full | 519 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 519 - Probabilities and applied mathematics |
| dewey-raw | 519 |
| dewey-search | 519 |
| dewey-sort | 3519 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-3-540-93000-6 |
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| indexdate | 2024-08-22T00:11:01Z |
| institution | BVB |
| isbn | 9783540930006 |
| language | English |
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| series2 | Studies in Computational Intelligence |
| spelling | Pacheco, Marco Aurélio Cavalcanti Verfasser (DE-588)1057707074 aut Intelligent Systems in Oil Field Development under Uncertainty edited by Marco A. C. Pacheco, Marley M. B. R. Vellasco Berlin ; Heidelberg Springer 2009 1 Online-Ressource txt rdacontent c rdamedia cr rdacarrier Studies in Computational Intelligence 183 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 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 Engineering Chemical engineering Artificial intelligence Engineering mathematics Engineering economy Environmental economics Appl.Mathematics/Computational Methods of Engineering Engineering Economics, Organization, Logistics, Marketing Artificial Intelligence (incl. Robotics) Industrial Chemistry/Chemical Engineering Environmental Economics Ingenieurwissenschaften Künstliche Intelligenz Vellasco, Marley Maria Bernardes Rebuzzi Verfasser (DE-588)1057707090 aut Erscheint auch als Druckausgabe 978-3-540-92999-4 https://doi.org/10.1007/978-3-540-93000-6 Verlag Volltext |
| spellingShingle | Pacheco, Marco Aurélio Cavalcanti Vellasco, Marley Maria Bernardes Rebuzzi Intelligent Systems in Oil Field Development under Uncertainty 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 Engineering Chemical engineering Artificial intelligence Engineering mathematics Engineering economy Environmental economics Appl.Mathematics/Computational Methods of Engineering Engineering Economics, Organization, Logistics, Marketing Artificial Intelligence (incl. Robotics) Industrial Chemistry/Chemical Engineering Environmental Economics Ingenieurwissenschaften Künstliche Intelligenz |
| title | Intelligent Systems in Oil Field Development under Uncertainty |
| title_auth | Intelligent Systems in Oil Field Development under Uncertainty |
| title_exact_search | Intelligent Systems in Oil Field Development under Uncertainty |
| title_full | Intelligent Systems in Oil Field Development under Uncertainty edited by Marco A. C. Pacheco, Marley M. B. R. Vellasco |
| title_fullStr | Intelligent Systems in Oil Field Development under Uncertainty edited by Marco A. C. Pacheco, Marley M. B. R. Vellasco |
| title_full_unstemmed | Intelligent Systems in Oil Field Development under Uncertainty edited by Marco A. C. Pacheco, Marley M. B. R. Vellasco |
| title_short | Intelligent Systems in Oil Field Development under Uncertainty |
| title_sort | intelligent systems in oil field development under uncertainty |
| topic | Engineering Chemical engineering Artificial intelligence Engineering mathematics Engineering economy Environmental economics Appl.Mathematics/Computational Methods of Engineering Engineering Economics, Organization, Logistics, Marketing Artificial Intelligence (incl. Robotics) Industrial Chemistry/Chemical Engineering Environmental Economics Ingenieurwissenschaften Künstliche Intelligenz |
| topic_facet | Engineering Chemical engineering Artificial intelligence Engineering mathematics Engineering economy Environmental economics Appl.Mathematics/Computational Methods of Engineering Engineering Economics, Organization, Logistics, Marketing Artificial Intelligence (incl. Robotics) Industrial Chemistry/Chemical Engineering Environmental Economics Ingenieurwissenschaften Künstliche Intelligenz |
| url | https://doi.org/10.1007/978-3-540-93000-6 |
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