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Advanced modelling with the MATLAB reservoir simulation toolbox (MRST) / / editors, Knut-Andreas Lie, Olav Møyner
| Advanced modelling with the MATLAB reservoir simulation toolbox (MRST) / / editors, Knut-Andreas Lie, Olav Møyner |
| Autore | Lie Knut-Andreas |
| Pubbl/distr/stampa | Cambridge University Press, 2021 |
| Descrizione fisica | 1 online resource (xxvii, 596 pages) : digital, PDF file(s) |
| Disciplina | 622/.3382 |
| Collana | Physical Sciences |
| Soggetto topico |
Hydrocarbon reservoirs - Computer simulation
Oil reservoir engineering - Data processing Petroleum - Migration |
| Soggetto non controllato |
Reservoir geomechanics
petroleum geoscience petroleum engineering exploration geoscience geophysics structural geology fluid dynamics |
| ISBN |
1-009-02249-0
1-009-02274-1 1-009-01978-3 |
| Classificazione | TEC047000TEC047000 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Grid Generation, Discretizations, and Solvers; 1. Unstructured PEBI Grids Conforming to Lower-Dimensional Objects R. L. Berge, O. S. Klemetsdal, and K.-A. Lie; 2. Nonlinear Finite-Volume Methods for the Flow Equation in Porous Media M. Al Kobaisi and W. Zhang; 3. Implicit Discontinuous Galerkin Methods for Transport Equations in Porous Media O.S. Klemetsdal and K.-A. Lie; 4. Multiscale Pressure Solvers for Stratigraphic and Polytopal Grids K.-A. Lie and O. Moyner; Part II: Rapid Prototyping and Accelerated Computation; 5. Better AD Simulators with Flexible State Functions and Accurate Discretizations O. Moyner; 6. Faster Simulation with Optimized Automatic Differentiation and Compiled Linear Solvers O. Moyner; Part III: Modelling of New Physical Processes; 7. Using State Functions and MRST's AD-OO Framework to Implement Simulators for Chemical EOR X. Sun, K.-A. Lie, and K. Bao; 8. Compositional Simulation with the AD-OO Framework O. Moyner; 9. Embedded Discrete Fracture Models D. Wong, F. Doster, and S. Geiger; 10. Numerical Modelling of Fractured Unconventional Oil and Gas Reservoirs O. Olorode, B. Wang and H. U. Rashid; 11. A Unified Framework for Flow Simulation in Fractured Reservoirs R. March, C. Maier, F. Doster, and S. Geiger; 12. Simulation of Geothermal Systems using MRST M. Collignon, O. S. Klemetsdal, and O. Moyner; 13. A Finite Volume-based Module for Unsaturated Poroelasticity J. Varela, S. Gasda, E. Keilegavlen, and J. M. Nordbotten; 14. A Brief Introduction to Poroelasticity and Simulation of Coupled Geomechanics and Flow in MRST O. Andersen; References. |
| Record Nr. | UNINA-9910585959603321 |
Lie Knut-Andreas
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| Cambridge University Press, 2021 | ||
| Materiale a stampa | ||
| 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 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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