Mathematical geoenergy : oil discovery, depletion and renewable energy analysis / Paul Pukite, Dennis Coyne, Daniel Challou.

Format:

Book

Author/Creator:

Pukite, Paul, author.

Coyne, Dennis, author.

Challou, Daniel, author.

Series:

Geophysical monograph ; 241.

Geophysical Monograph ; 241

Language:

English

Subjects (All):

Power resources--Mathematical models.

Power resources.

Physical Description:

1 online resource (376 pages).

Edition:

1st ed.

Place of Publication:

Hoboken, New Jersey : Wiley, 2019.

Summary:

"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; and accurately analyzes the past and predicts the future of geoenergy depletion and renewal using models derived from observed production data"--Provided by publisher

Contents:

Intro

Title Page

Copyright Page

Contents

Preface

Chapter 1 Introduction to Mathematical Geoenergy

1.1. NONRENEWABLE GEOENERGY

1.2. RENEWABLE GEOENERGY

REFERENCES

Chapter 2 Stochastic Modeling

2.1. ODDS AND UNCERTAINTY AND THE PRINCIPLE OF MAXIMUM ENTROPY

2.2. DISPERSION

2.3. APPLICATION OF THE MAXIMUM ENTROPY IDEAS

Part I: Depletion

Chapter 3 Fossil Fuel Depletion Modeling

3.1. PEAK OIL

Chapter 4 Discovering Oil Reserves

4.1. FILLING THE RESERVOIRS

4.2. DISPERSIVE AGGREGATION MODEL OF RESERVOIR SIZES

4.3. COMPARISON WITH REAL DATA

4.4. GEOLOGIC TIME AND URR

4.5. CASE STUDIES

4.6. FINDING NEEDLES IN A HAYSTACK: HOW WE DISCOVER OIL

4.7. DISPERSIVE DISCOVERY

4.8. DISPERSIVE DISCOVERY AS A HUBBERT CURVE

4.9. TYPES OF GROWTH

4.10. CHARACTERIZING GROWTH IN DISCOVERIES

Chapter 5 Analysis of Production and the Shock Model

5.1. BASIC MODEL

5.2. THE PATH FROM DISCOVERIES TO PRODUCTION

5.3. THE SHOCK MODEL: THE FUNDAMENTAL LINK BETWEEN DISCOVERY AND PRODUCTION

5.4. SOLVING THE OIL SHOCK MODEL

5.5. FULL ELABORATION OF THE SHOCK MODEL

5.6. THE CANONICAL CURVE

5.7. LAPLACE TRANSFORM

5.8. LIMITING DISTRIBUTIONS

5.9. THE ROLE OF GEOLOGY IN PRODUCTION

Chapter 6 Characterizing Discovery, Production, and Reserve Growth

6.1. TWO PROCESSES TO OIL DEPLETION

6.2. SUBSTANTIATING DISPERSIVE DISCOVERY

6.3. NOISE

6.4. APPLYING THE COMBINED MODEL TO GLOBAL CRUDE OIL PRODUCTION

6.5. PRODUCTION AS DISCOVERY?

6.6. THE RESERVE GROWTH

6.7. RECOVERY FACTOR

6.8. SOLVING THE ENIGMA OF RESERVE GROWTH

6.9. DIFFUSIONAL GROWTH

6.10. DRAINAGE DIFFUSION

6.11. ADDING FINITE CONSTRAINTS

6.12. DISPERSIVE VERSUS DIFFUSION MODEL OF RESERVE GROWTH

6.13. THE HYPERBOLIC MODEL.

6.14. CREAMING CURVES AND DISPERSIVE DISCOVERY

6.15. DIFFUSIVE FLOW OF BAKKEN SHALE OIL

Chapter 7 Comparing the Oil Production Model to Data

7.1. THE DERIVATION OF LOGISTIC‐SHAPED DISCOVERY

7.2. HUBBERT LINEARIZATION

7.3. GENERAL DISPERSIVE DISCOVERY AND THE LAPLACE TRANSFORM

7.4. SCALING AND THE DISPERSIVE DISCOVERY GROWTH FUNCTION

7.5. REMOVING THE DISPERSION

7.6. THE OIL PRODUCTION PROCESS: DECOMPOSING DEPLETION TO INDIVIDUAL REGIONS

7.7. THE IDEA OF SHOCKLETS

7.8. SHOCKLET ENVELOPES

7.9. SHOCKLETS IN ACTION

7.10. DIGGING DEEPER: REGIONAL PRODUCTION

7.11. DISCOVERY AND PRODUCTION MODELS

Chapter 8 Alternative Characterization and Models

8.1. ASSUMPTIONS AND MARGINS OF ERROR

8.2. EVEN INFINITE GROWTH WILL NOT MATTER IN THE LONG RUN

8.3. WORKING WITH RESERVES ONLY

8.4. MONITORING RESERVE PEAK

8.5. WAITING FOR FURTHER GROWTH

8.6. STATISTICAL PRECISION

8.7. HUBBERT PEAK IN FOUR STEPS

8.8. CONSISTENCY CHECK FOR DISPERSIVE DISCOVERY

8.9. ALTERNATE HEURISTIC APPROACHES

8.10. WHY WE CANNOT PUMP FASTER

8.11. DEMAND DESTRUCTION

8.12. THE GOMPERTZ IN PRACTICE

Chapter 9 Models for Future Production

9.1. DIFFUSIVE FLOW FROM HYDRAULICALLY FRACTURED VOLUMES

9.2. GEOLOGICAL PEAK VERSUS LOGISTICAL PEAK

9.3. INFINITE RESERVES

9.4. EROEI MATH

9.5. THE STOCHASTIC ARC

9.6. FOSSIL FUEL EMISSIONS AND CO2 LEVELS

Part II: Renewal

Chapter 10 Energy Transition: Applying Probabilities and Physics

10.1. STOCHASTIC MODELING

10.2. MAXIMUM ENTROPY PRINCIPLE MODELING

10.3. UNCERTAINTY QUANTIFICATION

10.4. CHARACTERIZATION TO MODELING

10.5. CONTEXT MODELING OF ENVIRONMENTAL DOMAINS

10.6. USAGE

10.7. DETERMINISTIC MODELS

Chapter 11 Wind Energy

11.1. DETERMINISTIC WIND: QBO.

11.2. STOCHASTIC WIND

11.3. SPATIAL AND TEMPORAL CORRELATIONS OF WIND

Chapter 12 Wave Energy

12.1. DETERMINISTIC TIDAL FORCING

12.2. DETERMINISTIC ENSO

12.3. STOCHASTIC AQUATIC WAVES

12.4. POTENTIAL FOR PREDICTION

Chapter 13 Geophysical Energy

13.1. LENGTH-OF-DAY (LOD) VARIATIONS

13.2. CHANDLER WOBBLE

13.3. EARTHQUAKES

Chapter 14 Thermal Energy: Diffusion and Heat Content

14.1. DIFFUSIONAL PROCESSES

14.2. HEAT EXCHANGER EVIDENCE

14.3. EXAMPLE: THERMAL DISPERSIVE DIFFUSION

14.4. EXAMPLE: OCEAN HEAT CONTENT MODEL

Chapter 15 Latent Energy: Hydrological Cycle

15.1. LAKES

15.2. CLOUDS

15.3. RAINFALL

Chapter 16 Gravitational Potential Energy: Terrain and Topography

16.1. INTRODUCTION

16.2. APPLICATION TO LANDFORMS AND TERRAIN

16.3. GENERATING SYNTHETIC TERRAINS AND WAVES AND MONTE CARLO SAMPLING

16.4. PROCESS OF FITTING TO SYNTHETIC TERRAIN

16.5. ANALYSIS OF TOPOGRAPHY

Chapter 17 Solar Energy: Thermodynamic Balance

17.1. BAROMETRIC FORMULA AND MAX ENTROPY

17.2. TEMPERATURE CYCLES

17.3. WHY WE DO NOT LIVE IN AN ICEBOX EARTH

17.4. GLOBAL TEMPERATURE VARIABILITY

Chapter 18 Geoenergy Conversion

18.1. DISPERSIVE DIFFUSION IN LITHIUM‐ION BATTERIES

18.2. PHOTOVOLTAIC DISPERSIVE TRANSPORT

Chapter 19 Dissipative Energy: Resilience, Durability, and Reliability

19.1. EXAMPLE: SiO2 GROWTH

19.2. GENERAL APPLICABILITY

19.3. EXAMPLE: CORROSIVE GROWTH

19.4. ENTROPY AND HOW THINGS BREAK DOWN

19.5. RELIABILITY MODELING

19.6. PREDICTABLY UNRELIABLE

19.7. FAILURE IS THE COMPLEMENT OF SUCCESS

19.8. CREEP FAILURE

Chapter 20 Dispersed Energy: Particulates and Transport in the Environment.

20.1. DISPERSIVE TRANSPORT THROUGH POROUS MEDIA

20.2. PROBLEM STATEMENT

20.3. DISORDERED BEHAVIOR

20.4. MAXENT SOLUTION TO FOKKER‐PLANCK

20.5. BREAKTHROUGH CURVE SIMPLIFIED

20.6. EXPERIMENT

20.7. WASTE HALF-LIFE

20.8. DISORDERED GROWTH IN ICE CRYSTALS

20.9. APPLICATION OF DISPERSION

Chapter 21 Electromagnetic Energy: Noise and Uncertainty

21.1. COMMUNICATIONS ENTROPY IN DATA

21.2. 1/f NOISE

21.3. EMI CLUTTER

Epilogue

Appendix A The Effect and Role of Feedback

Appendix B Using Pipes and Flow to Compute Convolution

B.1. PIPES AND THE OIL SHOCK MODEL

Appendix C Dispersion Analogies

C.1. PHYSICAL ANALOGIES FOR DISPERSION

C.2. DISPERSION OF TRAIN DELAYS AND SUPERSTATISTICS

C.3. MARATHON DISPERSION

C.4. POPCORN POPPING AS A DISPERSIVE PROCESS

C.5. SUMMARY

Appendix D Regional Oil Discovery and Production Profiles

Appendix E Compartment Models

E.1. COMPARTMENTAL MODELS

E.2. RESISTIVE‐CAPACITIVE CIRCUIT

E.3. CASCADED CIRCUITS

Appendix F US Reserve Growth

Appendix G Table of Acronyms

Index

EULA.

Notes:

Description based on print version record.

Current Copyright Fee: GBP26.60 0.

ISBN:

9781119434337

1119434335

9781119434306

1119434300

9781119434351

1119434351

OCLC:

1079363253