Computing risk for oil prospects : principles and programs / / John W. Harbaugh, John C. Davis, Johannes Wendebourg
| Computing risk for oil prospects : principles and programs / / John W. Harbaugh, John C. Davis, Johannes Wendebourg |
| Autore | Harbaugh John Warvelle <1926-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Oxford, : Pergamon, 1995 |
| Descrizione fisica | 1 online resource (467 p.) |
| Disciplina | 622/.1828 |
| Altri autori (Persone) |
DavisJohn C
WendebourgJohannes |
| Collana | Computer methods in the geosciences |
| Soggetto topico |
Petroleum - Prospecting - Data processing
Risk assessment - Data processing |
| ISBN |
1-281-07193-5
9786611071936 0-08-052950-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Computing Risk for Oil Prospects:Principles and Programs; Copyright Page; CONTENTS; Foreword; Preface: Getting Things Rolling; Acknowledgments; Chapter 1. The Challenge of Risk Assessment; THE NATURE OF EXPLORATION; DEFINING PROBABILITIES; GEOLOGICAL UNCERTAINTY AND OIL OCCURRENCE; REGIONAL HYDROCARBON ENDOWMENT; PRINCIPAL PREMISES OF THIS BOOK; Chapter 2. Field Size Distributions; ESTIMATING "Q"; OIL FIELD POPULATIONS; STATISTICS OF FREQUENCY DISTRIBUTIONS; CUMULATIVE PROBABILITY PLOTS; CAUTION: FUTURE DISCOVERIES; Chapter 3. Success, Sequence, and Gambler's Ruin
SUCCESS RATIOS AND DRY HOLE PROBABILITIESLONG -TERM LUCK AND BINOMIAL DISTRIBUTION; Chapter 4. Estimating Discovery Size from Prospect Size; STATISTICAL CORRELATIONS BETWEEN PROPERTIES; ESTIMATING VOLUMES FROM SEISMIC MAPS; Chapter 5. Outcome Probabilities and Success Ratios; GEOLOGY AND DRILLING RESULTS; BAYESIAN REVISION OF REGIONAL SUCCESS RATIOS; BAYESIAN REVISION OF DISTRIBUTIONS; Chapter 6. Modeling Prospects; APPEAL OF THE SIMULATION APPROACH; STEPS IN MONTE CARLO SIMULATION; DISTRIBUTIONS AND PARAMETERS; ARE GEOLOGIC PROPERTIES INDEPENDENT? Chapter 7. Mapping Properties and UncertaintiesCOMPUTER CONTOURING; HOW CONTOUR MAPS ARE MADE; GEOSTATISTICS IN RISK ASSESSMENT; Chapter 8. Discriminating Discoveries and Dry Holes; COMBINING GEOLOGICAL VARIABLES; ASSESSING A NEW AREA; UPDATING ASSESSMENTS; EXPLORING MAGYARSTAN TARGET AREA; THE IMMATURESTAGE; THE INTERMEDIATE STAGE; THE MATURE STAGE; THE FINAL STAGE; Chapter 9. Forecasting Cash Flow for a Prospect; FINANCIAL OVERVIEW; DISCOUNTED NET CASH FLOW ANALYSIS; USING CASHFLOW; OUTPUT FROM CASHFLOW; EXAMPLE APPLICATIONS OF CASHFLOW; Chapter 10. The Worth of Money A DRY HOLE VERSUS A DISCOVERYChapter 11. RATS, Decision Tables, and Trees; RATs LINK OUTCOMES WITH RISK; HOW RATs TREAT INFORMATION; EXAMPLE RISK ANALYSIS TABLES; DECISION AIDS FOR ACTIONS; CONSTRUCTING DECISION TABLES; DECISION TREES; OVERVIEW AND A LOOK TO THE FUTURE; Chapter 12. Bringing it Together; RISKING THE ROSKOFF PROSPECT; THE PRIZE OFFERED; TROYSKA AND ROSKOFF AREAS COMPARED; ESTIMATING ROSKOFF'S DRY HOLE PROBABILITY; PROBABILITIES ATTACHED TO FIELD VOLUMES; ROSKOFF PROSPECT FINANCIAL ANALYSIS; SOME FINAL POINTS; Bibliography Appendix A - SOFTWARE INSTALLATION of RISK: Software to perform probabilistic assessments and financial calculations in Computing Risk for Oil ProspectsAppendix B - RISKSTAT MANUAL: Linked computer programs that perform statistical analyses in RISK; Appendix C - RISKMAP MANUAL: Linked computer programs that perform the mapping function in RISK; Appendix D - RISKTAB MANUAL: Linked computer programs that perform financial calculations in RISK; Index |
| Record Nr. | UNINA-9911006670303321 |
Harbaugh John Warvelle <1926->
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| Oxford, : Pergamon, 1995 | ||
| Lo trovi qui: Univ. Federico II | ||
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Estimation of petroleum exploration success and the effects of resource base exhaustion via a simulation model / / by Lawrence J. Drew
| Estimation of petroleum exploration success and the effects of resource base exhaustion via a simulation model / / by Lawrence J. Drew |
| Autore | Drew Lawrence J. |
| Pubbl/distr/stampa | [Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1974 |
| Descrizione fisica | 1 online resource (iv, 25 pages) : illustrations |
| Collana | Geological Survey bulletin |
| Soggetto topico |
Petroleum - Geology - Data processing
Petroleum - Geology - Mathematical models Petroleum - Prospecting - Data processing Petroleum - Prospecting - Mathematical models |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Model for petroleum exploration success |
| Record Nr. | UNINA-9910707402003321 |
Drew Lawrence J.
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| [Washington, D.C.] : , : United States Department of the Interior, Geological Survey, , 1974 | ||
| Lo trovi qui: Univ. Federico II | ||
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GEOPLAY : a knowledge-based expert system : a model for exploration play analysis / / by Betty M. Miller
| GEOPLAY : a knowledge-based expert system : a model for exploration play analysis / / by Betty M. Miller |
| Autore | Miller Betty M. |
| Pubbl/distr/stampa | Washington : , : United States Government Printing Office, , 1995 |
| Descrizione fisica | 1 online resource (iv, 53 pages) : illustrations |
| Collana | U.S. Geological Survey bulletin |
| Soggetto topico |
Expert systems (Computer science)
Petroleum - Prospecting - Data processing Stratigraphic traps (Petroleum geology) - Computer simulation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | GEOPLAY |
| Record Nr. | UNINA-9910705414903321 |
Miller Betty M.
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| Washington : , : United States Government Printing Office, , 1995 | ||
| Lo trovi qui: Univ. Federico II | ||
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Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
| Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa |
| Autore | Al-Shuhail Abdullatif Abdulrahman <1962-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (233 pages) : illustrations |
| Disciplina | 551.220287 |
| Soggetto topico |
Image processing - Digital techniques
Petroleum - Prospecting - Data processing Seismic reflection method |
| ISBN |
1-118-88180-X
1-119-12559-6 1-118-88179-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910796101403321 |
Al-Shuhail Abdullatif Abdulrahman <1962->
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| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa
| Seismic data interpretation using digital image processing / / Abdullatif A. Al-Shuhail, Saleh A. Al-Dossary, Saudi Aramco, Wail A. Mousa |
| Autore | Al-Shuhail Abdullatif Abdulrahman <1962-> |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2017 |
| Descrizione fisica | 1 online resource (233 pages) : illustrations |
| Disciplina | 551.220287 |
| Soggetto topico |
Image processing - Digital techniques
Petroleum - Prospecting - Data processing Seismic reflection method |
| ISBN |
1-118-88180-X
1-119-12559-6 1-118-88179-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910807891603321 |
Al-Shuhail Abdullatif Abdulrahman <1962->
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| Hoboken, New Jersey : , : Wiley, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. Federico II | ||
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Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
| Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang |
| Autore | Huang Kou-Yuan |
| Pubbl/distr/stampa | River Edge, NJ, : World Scientific, c2002 |
| Descrizione fisica | 1 online resource (149 p.) |
| Disciplina | 622/.1828/0285 |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Petroleum - Prospecting - Data processing
Pattern recognition systems Seismic reflection method - Data processing |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-92835-6
9786611928353 981-277-574-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; AUTHOR'S BIOGRAPHY; PREFACE; 1 INTRODUCTION TO SYNTACTIC PATTERN RECOGNITION; 1.1. SUMMARY; 1.2. INTRODUCTION; 1.3. ORGANIZATION OF THIS BOOK; 2 INTRODUCTION TO FORMAL LANGUAGES AND AUTOMATA; 2.1. SUMMARY; 2.2. LANGUAGES AND GRAMMARS; 2.3. FINITE-STATE AUTOMATON; 2.4. EARLEY'S PARSING; 2.5. FINITE-STATE GRAMMATICAL INFERENCE; 2.6. STRING DISTANCE COMPUTATION; 3 ERROR-CORRECTING FINITE-STATE AUTOMATON FOR RECOGNITION OF RICKER WAVELETS; 3.1. SUMMARY; 3.2. INTRODUCTION; 3.3. SYNTACTIC PATTERN RECOGNITION; 3.3.1. Training and Testing Ricker Wavelets
3.3.2. Location of Waveforms and Pattern Representation3.4. EXPANDED GRAMMARS; 3.4.1. General Expanded Finite-State Grammar; 3.4.2. Restricted Expanded Finite-State Grammar; 3.5. MINIMUM-DISTANCE ERROR-CORRECTING FINITE-STATE PARSING; 3.6. CLASSIFICATION OF RICKER WAVELETS; 3.7. DISCUSSION AND CONCLUSIONS; 4 ATTRIBUTED GRAMMAR AND ERROR-CORRECTING EARLEY'S PARSING; 4.1. SUMMARY; 4.2. INTRODUCTION; 4.3. ATTRIBUTED PRIMITIVES AND STRING; 4.4. DEFINITION OF ERROR TRANSFORMATIONS FOR ATTRIBUTED STRINGS; 4.5. INFERENCE OF ATTRIBUTED GRAMMAR 4.6. MINIMUM-DISTANCE ERROR-CORRECTING EARLEY'S PARSING FOR ATTRIBUTED STRING4.7. EXPERIMENT; 5 ATTRIBUTED GRAMMAR AND MATCH PRIMITIVE MEASURE (MPM) FOR RECOGNITION OF SEISMIC WAVELETS; 5.1. SUMMARY; 5.2. SIMILARITY MEASURE OF ATTRIBUTED STRING MATCHING; 5.3. INFERENCE OF ATTRIBUTED GRAMMAR; 5.4. TOP-DOWN PARSING USING MPM; 5.5. EXPERIMENTS OF SEISMIC PATTERN RECOGNITION; 5.5.1. Recognition of Seismic Ricker Wavelets; 5.5.2. Recognition of Wavelets in Real Seismogram; 5.6. CONCLUSIONS; 6 STRING DISTANCE AND LIKELIHOOD RATIO TEST FOR DETECTION OF CANDIDATE BRIGHT SPOT; 6.1. SUMMARY 6.2. INTRODUCTION6.3. OPTIMAL QUANTIZATION ENCODING; 6.4. LIKELIHOOD RATIO TEST (LRT); 6.5. LEVENSHTEIN DISTANCE AND ERROR PROBABILITY; 6.6. EXPERIMENT AT MISSISSIPPI CANYON; 6.6.1. Likelihood Ratio Test (LRT); 6.6.2. Threshold for Global Detection; 6.6.3. Threshold for the Detection of Candidate Bright Spot; 6.7. EXPERIMENT AT HIGH ISLAND; 7 TREE GRAMMAR AND AUTOMATON FOR SEISMIC PATTERN RECOGNITION; 7.1. SUMMARY; 7.2. INTRODUCTION; 7.3. TREE GRAMMAR AND LANGUAGE; 7.4. TREE AUTOMATON; 7.5. TREE REPRESENTATIONS OF PATTERNS; 7.6. INFERENCE OF EXPANSIVE TREE GRAMMAR 7.7. WEIGHTED MINIMUM-DISTANCE SPECTA7.8. MODIFIED MAXIMUM-LIKELIHOOD SPECTA; 7.9. MINIMUM DISTANCE GECTA; 7.10. EXPERIMENTS ON INPUT TESTING SEISMOGRAMS; 7.11. DISCUSSION AND CONCLUSIONS; 8 A HIERARCHICAL RECOGNITION SYSTEM OF SEISMIC PATTERNS AND FUTURE STUDY; 8.1. SUMMARY; 8.2. INTRODUCTION; 8.3. SYNTACTIC PATTERN RECOGNITION; 8.3.1. Linking Processing and Segmentation; 8.3.2. Primitive Recognition; 8.3.3. Training Patterns; 8.3.4. Grammatical Inference; 8.3.5. Finite-state Error Correcting Parsing; 8.4. COMMON-SOURCE SIMULATED SEISMOGRAM RESULTS; 8.5. STACKED SIMULATED SEISMOGRAM RESULTS 8.6. CONCLUSIONS |
| Record Nr. | UNINA-9910454653903321 |
Huang Kou-Yuan
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||
| River Edge, NJ, : World Scientific, c2002 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang
| Syntactic pattern recognition for seismic oil exploration [[electronic resource] /] / Kou-Yuan Huang |
| Autore | Huang Kou-Yuan |
| Pubbl/distr/stampa | River Edge, NJ, : World Scientific, c2002 |
| Descrizione fisica | 1 online resource (149 p.) |
| Disciplina | 622/.1828/0285 |
| Collana | Series in machine perception and artificial intelligence |
| Soggetto topico |
Petroleum - Prospecting - Data processing
Pattern recognition systems Seismic reflection method - Data processing |
| ISBN |
1-281-92835-6
9786611928353 981-277-574-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
CONTENTS; AUTHOR'S BIOGRAPHY; PREFACE; 1 INTRODUCTION TO SYNTACTIC PATTERN RECOGNITION; 1.1. SUMMARY; 1.2. INTRODUCTION; 1.3. ORGANIZATION OF THIS BOOK; 2 INTRODUCTION TO FORMAL LANGUAGES AND AUTOMATA; 2.1. SUMMARY; 2.2. LANGUAGES AND GRAMMARS; 2.3. FINITE-STATE AUTOMATON; 2.4. EARLEY'S PARSING; 2.5. FINITE-STATE GRAMMATICAL INFERENCE; 2.6. STRING DISTANCE COMPUTATION; 3 ERROR-CORRECTING FINITE-STATE AUTOMATON FOR RECOGNITION OF RICKER WAVELETS; 3.1. SUMMARY; 3.2. INTRODUCTION; 3.3. SYNTACTIC PATTERN RECOGNITION; 3.3.1. Training and Testing Ricker Wavelets
3.3.2. Location of Waveforms and Pattern Representation3.4. EXPANDED GRAMMARS; 3.4.1. General Expanded Finite-State Grammar; 3.4.2. Restricted Expanded Finite-State Grammar; 3.5. MINIMUM-DISTANCE ERROR-CORRECTING FINITE-STATE PARSING; 3.6. CLASSIFICATION OF RICKER WAVELETS; 3.7. DISCUSSION AND CONCLUSIONS; 4 ATTRIBUTED GRAMMAR AND ERROR-CORRECTING EARLEY'S PARSING; 4.1. SUMMARY; 4.2. INTRODUCTION; 4.3. ATTRIBUTED PRIMITIVES AND STRING; 4.4. DEFINITION OF ERROR TRANSFORMATIONS FOR ATTRIBUTED STRINGS; 4.5. INFERENCE OF ATTRIBUTED GRAMMAR 4.6. MINIMUM-DISTANCE ERROR-CORRECTING EARLEY'S PARSING FOR ATTRIBUTED STRING4.7. EXPERIMENT; 5 ATTRIBUTED GRAMMAR AND MATCH PRIMITIVE MEASURE (MPM) FOR RECOGNITION OF SEISMIC WAVELETS; 5.1. SUMMARY; 5.2. SIMILARITY MEASURE OF ATTRIBUTED STRING MATCHING; 5.3. INFERENCE OF ATTRIBUTED GRAMMAR; 5.4. TOP-DOWN PARSING USING MPM; 5.5. EXPERIMENTS OF SEISMIC PATTERN RECOGNITION; 5.5.1. Recognition of Seismic Ricker Wavelets; 5.5.2. Recognition of Wavelets in Real Seismogram; 5.6. CONCLUSIONS; 6 STRING DISTANCE AND LIKELIHOOD RATIO TEST FOR DETECTION OF CANDIDATE BRIGHT SPOT; 6.1. SUMMARY 6.2. INTRODUCTION6.3. OPTIMAL QUANTIZATION ENCODING; 6.4. LIKELIHOOD RATIO TEST (LRT); 6.5. LEVENSHTEIN DISTANCE AND ERROR PROBABILITY; 6.6. EXPERIMENT AT MISSISSIPPI CANYON; 6.6.1. Likelihood Ratio Test (LRT); 6.6.2. Threshold for Global Detection; 6.6.3. Threshold for the Detection of Candidate Bright Spot; 6.7. EXPERIMENT AT HIGH ISLAND; 7 TREE GRAMMAR AND AUTOMATON FOR SEISMIC PATTERN RECOGNITION; 7.1. SUMMARY; 7.2. INTRODUCTION; 7.3. TREE GRAMMAR AND LANGUAGE; 7.4. TREE AUTOMATON; 7.5. TREE REPRESENTATIONS OF PATTERNS; 7.6. INFERENCE OF EXPANSIVE TREE GRAMMAR 7.7. WEIGHTED MINIMUM-DISTANCE SPECTA7.8. MODIFIED MAXIMUM-LIKELIHOOD SPECTA; 7.9. MINIMUM DISTANCE GECTA; 7.10. EXPERIMENTS ON INPUT TESTING SEISMOGRAMS; 7.11. DISCUSSION AND CONCLUSIONS; 8 A HIERARCHICAL RECOGNITION SYSTEM OF SEISMIC PATTERNS AND FUTURE STUDY; 8.1. SUMMARY; 8.2. INTRODUCTION; 8.3. SYNTACTIC PATTERN RECOGNITION; 8.3.1. Linking Processing and Segmentation; 8.3.2. Primitive Recognition; 8.3.3. Training Patterns; 8.3.4. Grammatical Inference; 8.3.5. Finite-state Error Correcting Parsing; 8.4. COMMON-SOURCE SIMULATED SEISMOGRAM RESULTS; 8.5. STACKED SIMULATED SEISMOGRAM RESULTS 8.6. CONCLUSIONS |
| Record Nr. | UNINA-9910782392103321 |
Huang Kou-Yuan
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| River Edge, NJ, : World Scientific, c2002 | ||
| Lo trovi qui: Univ. Federico II | ||
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