{"product_id":"mathematical-geoenergy-isbn-9781119434290","title":"Mathematical Geoenergy","description":"\u003cp\u003e\u003cb\u003eA rigorous mathematical problem-solving framework for analyzing the Earth’s energy resources\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eGeoEnergy 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. \u003ci\u003eMathematical GeoEnergy:\u003c\/i\u003e \u003ci\u003eOil Discovery, Depletion and Renewal\u003c\/i\u003e details leading-edge research based on a mathematically-oriented approach to geoenergy analysis.\u003c\/p\u003e \u003cp\u003eVolume highlights include:\u003c\/p\u003e \u003cul\u003e \u003cli\u003eApplies a formal mathematical framework to oil discovery, depletion, and analysis\u003c\/li\u003e \u003cli\u003eEmploys first-order applied physics modeling, decreasing computational resource requirements\u003c\/li\u003e \u003cli\u003eIllustrates model interpolation and extrapolation to fill out missing or indeterminate data\u003c\/li\u003e \u003cli\u003eCovers both stochastic and deterministic mathematical processes for historical analysis and prediction\u003c\/li\u003e \u003cli\u003eEmphasizes the importance of up-to-date data, accessed through the companion website\u003c\/li\u003e \u003cli\u003eDemonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches\u003c\/li\u003e \u003cli\u003eAccurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIntuitive mathematical models and readily available algorithms make \u003ci\u003eMathematical GeoEnergy:\u003c\/i\u003e \u003ci\u003eOil Discovery, Depletion and Renewal \u003c\/i\u003ean 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.\u003c\/p\u003e \u003cp\u003ePreface vii\u003c\/p\u003e \u003cp\u003e1. Introduction to Mathematical Geoenergy 1\u003c\/p\u003e \u003cp\u003e2. Stochastic Modeling 5\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart I: Depletion\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e3. Fossil Fuel Depletion Modeling 13\u003c\/p\u003e \u003cp\u003e4. Discovering Oil Reserves 17\u003c\/p\u003e \u003cp\u003e5. Analysis of Production and the Shock Model .41\u003c\/p\u003e \u003cp\u003e6. Characterizing Discovery, Production, and Reserve Growth 61\u003c\/p\u003e \u003cp\u003e7. Comparing the Oil Production Model to Data 85\u003c\/p\u003e \u003cp\u003e8. Alternative Characterization and Models 109\u003c\/p\u003e \u003cp\u003e9. Models for Future Production 131\u003c\/p\u003e \u003cp\u003e\u003cb\u003ePart II: Renewal\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003e10. Energy Transition: Applying Probabilities and Physics 157\u003c\/p\u003e \u003cp\u003e11. Wind Energy 167\u003c\/p\u003e \u003cp\u003e12. Wave Energy 179\u003c\/p\u003e \u003cp\u003e13. Geophysical Energy 205\u003c\/p\u003e \u003cp\u003e14. Thermal Energy: Diffusion and Heat Content 213\u003c\/p\u003e \u003cp\u003e15. Latent Energy: Hydrological Cycle 225\u003c\/p\u003e \u003cp\u003e16. Gravitational Potential Energy: Terrain and Topography 233\u003c\/p\u003e \u003cp\u003e17. Solar Energy: Thermodynamic Balance 267\u003c\/p\u003e \u003cp\u003e18. Geoenergy Conversion .273\u003c\/p\u003e \u003cp\u003e19. Dissipative Energy: Resilience, Durability, and Reliability 291\u003c\/p\u003e \u003cp\u003e20. Dispersed Energy: Particulates and Transport in the Environment 305\u003c\/p\u003e \u003cp\u003e21. Electromagnetic Energy: Noise and Uncertainty .319\u003c\/p\u003e \u003cp\u003eEpilogue 327\u003c\/p\u003e \u003cp\u003eAppendix A: The Effect and Role of Feedback 329\u003c\/p\u003e \u003cp\u003eAppendix B: Using Pipes and Flow to Compute Convolution 331\u003c\/p\u003e \u003cp\u003eAppendix C: Dispersion Analogies 333\u003c\/p\u003e \u003cp\u003eAppendix D: Regional Oil Discovery and Production Profiles 341\u003c\/p\u003e \u003cp\u003eAppendix E: Compartment Models 343\u003c\/p\u003e \u003cp\u003eAppendix F: US Reserve Growth 345\u003c\/p\u003e \u003cp\u003eAppendix G: Table of Acronyms 349\u003c\/p\u003e \u003cp\u003eIndex 351a\u003c\/p\u003e  \u003cp\u003e\u003cb\u003ePaul Pukite,\u003c\/b\u003e \u003ci\u003eBAE Systems, USA\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDennis Coyne,\u003c\/b\u003e \u003ci\u003ePeakOilBarrel.com, USA\u003c\/i\u003e \u003c\/p\u003e\u003cp\u003e\u003cb\u003eDaniel Challou,\u003c\/b\u003e \u003ci\u003eUniversity of Minnesota, USA\u003c\/i\u003e\t   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eMathematical Geoenergy\u003c\/b\u003e\t \u003c\/p\u003e\u003cp\u003eDiscovery, Depletion, and Renewal\t \u003c\/p\u003e\u003cp\u003eGeoenergy encompasses the range of energy sources and technologies that interact with the geophysical environment. Fossil fuel availability studies have historically lacked concise modeling, tending instead toward overly-complex processes.\u003ci\u003e Mathematical Geoenergy: Discovery, Depletion, and Renewal\u003c\/i\u003e details leading-edge research based on a mathematically-oriented approach to geoenergy analysis. \u003c\/p\u003e\u003cp\u003eThis volume: \u003c\/p\u003e\u003cul\u003e \u003cli\u003e Applies a formal mathematical framework to oil discovery, depletion, and analysis\u003c\/li\u003e \u003cli\u003e Employs first-order applied physics modeling, decreasing computational resource requirements\u003c\/li\u003e \u003cli\u003eIllustrates model interpolation and extrapolation to fill out missing or indeterminate data\u003c\/li\u003e \u003cli\u003eCovers both stochastic and deterministic mathematical processes for historical analysis and prediction of oil production and a range of important renewable energy resources\u003c\/li\u003e \u003cli\u003eEmphasizes the importance of up-to-date data\u003c\/li\u003e \u003cli\u003eDemonstrates the advantages of mathematical modeling over conventional heuristic and empirical approaches\u003c\/li\u003e \u003cli\u003eAccurately analyzes the past and predicts the future of geoenergy depletion and renewable resources using models derived from observed production, discovery data, and from available renewable energy data\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIntuitive mathematical models and readily available algorithms make\u003ci\u003e Mathematical Geoenergy: Discovery, Depletion, and Renewal\u003c\/i\u003e an insightful and invaluable resource for scientists and engineers interested in oil discovery, reservoir sizing, dispersion, production models, reserve growth, renewable energy, and more.\u003c\/p\u003e","brand":"American Geophysical Union","offers":[{"title":"Default Title","offer_id":47989586329829,"sku":"NP9781119434290","price":215.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119434290.jpg?v=1761784704","url":"https:\/\/k12savings.com\/es\/products\/mathematical-geoenergy-isbn-9781119434290","provider":"K12savings","version":"1.0","type":"link"}