Mathematical Geoenergy

Paul Pukite , Dennis Coyne , Daniel Challou 지음

Wiley-AGU 2018년 11월 28일 출간

작품소개

책소개

A rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources GeoEnergy encompasses the range of energy technologies and sources that interact with the geological subsurface. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward heuristics and overly-complex processes. Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. Volume highlights include: Applies a formal mathematical framework to oil discovery, depletion, and analysis Employs first-order applied physics modeling, decreasing computational resource requirements Illustrates model interpolation and extrapolation to fill out missing or indeterminate data Covers both stochastic and deterministic mathematical processes for historical analysis and prediction Emphasizes the importance of up-to-date data, accessed through the companion website Demonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches Accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data Intuitive mathematical models and readily available algorithms make Mathematical GeoEnergy: Oil Discovery, Depletion and Renewal an insightful and invaluable resource for scientists and engineers using robust statistical and analytical tools applicable to oil discovery, reservoir sizing, dispersion, production models, reserve growth, and more.

목차

Preface Chapter 1. Introduction to Mathematical Geoenergy Chapter 2. Stochastic Modeling Section I: Depletion Chapter 3. Fossil Fuel Depletion Modeling Chapter 4. Discovering Oil Reserves Chapter 5. Analysis of Production and the Shock Model. Chapter 6. Characterizing Discovery, Production, and Reserve Growth. Chapter 7. Comparing the Oil Production Model to Data. Chapter 8. Alternative Characterization and Models Chapter 9. Models for Future Production Section II: Renewal Chapter 10. Energy Transition - Applying Probabilities and Physics Chapter 11. Wind Energy Chapter 12. Wave Energy Chapter 13. Geophysical Energy Chapter 14. Thermal Energy: Diffusion and Heat Content Chapter 15. Latent Energy: Hydrological Cycle Chapter 16. Gravitational Potential Energy: Terrain and Topography Chapter 17. Solar Energy: Thermodynamic Balance Chapter 18. Geoenergy Conversion Chapter 19. Dissipative Energy: Resilience, Durability and Reliability Chapter 20. Dispersed Energy: Particulates and Transport in the Environment Chapter 21. Electromagnetic Energy: Noise and Uncertainty Epilogue Appendix A: The Effect and Role of Feedback Appendix B: Using pipes and flow to compute convolution Appendix C: Dispersion analogies Appendix D: Regional Oil Discovery and Production Profiles Appendix E: Compartment Models Appendix F: USA Reserve Growth Appendix G: Table of Acronyms Index

작가정보

저자(글) Paul Pukite

Paul Pukite, BAE Systems, USA Dennis Coyne, PeakOilBarrel.com, USA Daniel Challou, University of Minnesota, USA

저자(글) Dennis Coyne

저자(글) Daniel Challou