Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

• Κύριος συγγραφέας: Ma, Y. Z. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Θέματα: Fossil fuels.; Geology-Statistical methods.; Geotechnical engineering.; Statistics .; Operations research.; Decision making.; Geophysics.; Fossil Fuels (incl. Carbon Capture).; Quantitative Geology.; Geotechnical Engineering & Applied Earth Sciences.; Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.; Operations Research/Decision Theory.; Geophysics/Geodesy.

Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using p...

Πίνακας περιεχομένων:

• Preface
• 1. Introduction and Overview
• Part 1: Reservoir Characterization
• 2. Essential Reservoir Geology and Multi-Scales of Petroleum Reservoir Heterogeneities
• 3. Introduction to Petrophysical Reservoir Characterization
• 4. Practical Seismic Reservoir Characterization
• 5. Statistical and Data Analytical Reservoir Characterization
• 6. Geostatistical Reservoir Characterization
• 7. Integrated Facies and Lithofacies Analysis, Identification and Classification
• Part 2: Geological and Reservoir Modeling
• 8. Constructing a Reservoir-Model Framework
• 9. Geostatistical Modeling Methods
• 10. Facies and Lithofacies Modeling
• 11. Porosity Modeling
• 12. Permeability Modeling
• 13. Fluid-Saturation Modeling
• 14. Uncertainty Analysis and Volumetrics Evaluation
• Part 3: Special and Advanced Topics
• 15. Naturally Fractured Reservoir Characterization and Modeling
• 16. Updating a Reservoir Model and Feedback Loop in Reservoir Modeling
• 17. Ranking Reservoir Models
• 18. Reservoir Model Upscaling, Simulation and Validation
• 19. Common and Uncommon Pitfalls in Integrated Reservoir Characterization and Modeling
• 20. Planning an Integrated Reservoir Characterization and Modeling Project
• 21. Towards a Fully Integrated Reservoir Characterization, Modeling and Uncertainty Analysis for Petroleum Resource Management and Field Development. .