Mathematical Geoenergy: Discovery, Depletion, and Renewal

ISBN-13: 9781119434290 / Angielski / Twarda / 2019 / 384 str.

Paul Pukite; Dennis Coyne; Daniel Challou

Spis treści

Preface vii1. Introduction to Mathematical Geoenergy 12. Stochastic Modeling 5Part I: Depletion3. Fossil Fuel Depletion Modeling 134. Discovering Oil Reserves 175. Analysis of Production and the Shock Model .416. Characterizing Discovery, Production, and Reserve Growth 617. Comparing the Oil Production Model to Data 858. Alternative Characterization and Models 1099. Models for Future Production 131Part II: Renewal10. Energy Transition: Applying Probabilities and Physics 15711. Wind Energy 16712. Wave Energy 17913. Geophysical Energy 20514. Thermal Energy: Diffusion and Heat Content 21315. Latent Energy: Hydrological Cycle 22516. Gravitational Potential Energy: Terrain and Topography 23317. Solar Energy: Thermodynamic Balance 26718. Geoenergy Conversion .27319. Dissipative Energy: Resilience, Durability, and Reliability 29120. Dispersed Energy: Particulates and Transport in the Environment 30521. Electromagnetic Energy: Noise and Uncertainty .319Epilogue 327Appendix A: The Effect and Role of Feedback 329Appendix B: Using Pipes and Flow to Compute Convolution 331Appendix C: Dispersion Analogies 333Appendix D: Regional Oil Discovery and Production Profiles 341Appendix E: Compartment Models 343Appendix F: US Reserve Growth 345Appendix G: Table of Acronyms 349Index 351a

O autorze

Paul Pukite, BAE Systems, USADennis Coyne, PeakOilBarrel.com, USADaniel Challou, University of Minnesota, USA