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Advances in intelligent computing--IPMU '94 : 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994 : selected papers / / Bernadette Bouchon-Meunier, Ronald R. Yager, Lofti A. Zadeh, eds
| Advances in intelligent computing--IPMU '94 : 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, Paris, France, July 4-8, 1994 : selected papers / / Bernadette Bouchon-Meunier, Ronald R. Yager, Lofti A. Zadeh, eds |
| Pubbl/distr/stampa | Springer Berlin Heidelberg |
| Disciplina | 006.3/3 |
| Altri autori (Persone) |
Bouchon-MeunierBernadette
YagerRonald R ZadehLotfi Asker |
| Soggetto topico |
Expert systems (Computer science) - Congresses
Uncertainty (Information theory) - Congresses |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Advances in Intelligent Computing — IPMU '94 |
| Record Nr. | UNISA-996466122203316 |
| Springer Berlin Heidelberg | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Soft computing and intelligent data analysis in oil exploration / / edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh
| Soft computing and intelligent data analysis in oil exploration / / edited by M. Nikravesh, F. Aminzadeh, L.A. Zadeh |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Amsterdam ; ; Boston, : Elsevier, 2003 |
| Descrizione fisica | 1 online resource (755 p.) |
| Disciplina | 622/.18282/0285 |
| Altri autori (Persone) |
NikraveshMasoud <1959->
AminzadehFred ZadehLotfi Asker |
| Collana | Developments in petroleum science |
| Soggetto topico |
Petroleum - Prospecting - Data processing
Hydrocarbon reservoirs - Computer simulation Soft computing |
| ISBN |
1-281-03881-4
9786611038816 0-08-054132-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Development in Petroleum Science: Soft Computing and Intellegent Data Analysis in Oil Exploration; Copyright Page; Foreword; Preface; About the Editors; List of Contributors; Contents; Part 1: Introduction: Fundamentals of Soft Computing; CHAPTER 1. SOFT COMPUTING FOR INTELLIGENT RESERVOIR CHARACTERIZATION AND MODELING; Abstract; 1. Introduction; 2. The role of soft computing techniques for intelligent reservoir characterization and exploration; 3. Artificial neural network and geoscience applications of artificial neural networks for exploration; 4. Fuzzy logic
5. Genetics algorithms6. Principal component analysis and wavelet; 7. Intelligent reservoir characterization; 8. Fractured reservoir characterization; 9. Future trends and conclusions; Appendix A. A basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; Appendix F. Fuzzy c-means clustering; Appendix G. Neural network clustering; References; CHAPTER 2. FUZZY LOGIC; Abstract; 1. Fuzzy sets; 2. Operations on fuzzy sets 3. Arithmetic of fuzzy intervals4. Fuzzy relations; 5. Fuzzy systems; 6. Fuzzy propositions; 7. Approximate reasoning; 8. Suggestions for further study; References; CHAPTER 3. INTRODUCTION TO USING GENETIC ALGORITHMS; 1. Introduction; 2. Background to Genetic Algorithms; 3. Design of a Genetic Algorithm; 4. Conclusions; References; CHAPTER 4. HEURISTIC APPROACHES TO COMBINATORIAL OPTIMIZATION; 1. Introduction; 2. Decision variables; 3. Properties of the objective function; 4. Heuristic techniques; References; CHAPTER 5. INTRODUCTION TO GEOSTATISTICS; 1. Introduction; 2. Random variables 3. Covariance and spatial variability4. Kriging; 5. Stochastic simulations; References; CHAPTER 6. GEOSTATISTICS: FROM PATTERN RECOGNITION TO PATTERN REPRODUCTION; 1. Introduction; 2. The decision of stationarity; 3. The multi-Gaussian approach to spatial estimation and simulation; 4. Spatial interpolation with kriging; 5. Beyond two-point models: multiple-point geostatistics; 6. Conclusions; 7. Glossary; References; Part 2: Geophysical Analysis and Interpretation; CHAPTER 7. MINING AND FUSION OF PETROLEUM DATA WITH FUZZY LOGIC AND NEURAL NETWORK AGENTS; Abstract; 1. Introduction 2. Neural network and nonlinear mapping3. Neuro-fuzzy model for rule extraction; 4. Conclusion; Appendix A. Basic primer on neural network and fuzzy logic terminology; Appendix B. Neural networks; Appendix C. Modified Levenberge-Marquardt technique; Appendix D. Neuro-fuzzy models; Appendix E. K-means clustering; References; CHAPTER 8. TIME LAPSE SEISMIC AS A COMPLEMENTARY TOOL FOR IN-FILL DRILLING; Abstract; 1. Introduction; 2. Feasibility study; 3. 3D seismic data sets; 4. 4D seismic analysis approach; 5. Seismic modeling of various flow scenarios; 6. 4D seismic for detecting fluid movement 7. 4D seismic for detecting pore pressure changes |
| Record Nr. | UNINA-9911006643403321 |
| Amsterdam ; ; Boston, : Elsevier, 2003 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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