Fr. 135.00

Introduction to Peak Oil

English · Paperback / Softback

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This book examines the physical andeconomic characteristics of the global oil resource to explain why peak oil hasbeen so poorly understood. The author draws on information held in oil industrydatasets that are not widely available outside of the specialist literature,and describes a number of methods that have been successfully used to predictoil peaks. In contrast to the widely-held view that 'all oil forecasts arewrong', these methods correctly predicted the current peak in globalconventional oil production. Current oil forecasts are then compared toevaluate the expected dates for regional and global oil peaks for conventionaloil, all-oils, and all-liquids. The dates of global peaks in the production ofall-oil and all-liquids appear to be reasonably soon, while the oil price thatis needed to support these global production levels continues to rise. Theworld faces serious constraints in its oil supply, which accounts for aboutone-third of total world energy use, and over 90% of the fuel used fortransportation. Readers of this book will gain a thorough understanding of thecritical, but poorly understood, phenomenon of peak oil that has already hadsignificant impacts on society in terms of high oil prices, and which willplace increasing constraints on mankind's supply of energy and economicwell-being in the coming years.

List of contents

Introduction.- Explaining peak oil: What it is, and why it happens.- A brief history of forecasting peak oil.- When should we expect the peak?.- Why has peak oil been so poorly understood?.- Caveats and conclusions.- Definitions.- Oil reserves data: 1P vs. 2P.- Suggestions for use of IHS Energy's 'PEPS' dataset.- Further aspects of oil forecasting.- Detail on specific oil forecasts.- Peak oil and climate change.- Peak demand.- Peak gas.- Reading University 'Oil group' and publications.

Summary

This book examines the physical and
economic characteristics of the global oil resource to explain why peak oil has
been so poorly understood. The author draws on information held in oil industry
datasets that are not widely available outside of the specialist literature,
and describes a number of methods that have been successfully used to predict
oil peaks. In contrast to the widely-held view that ‘all oil forecasts are
wrong’, these methods correctly predicted the current peak in global
conventional oil production. Current oil forecasts are then compared to
evaluate the expected dates for regional and global oil peaks for conventional
oil, all-oils, and all-liquids. The dates of global peaks in the production of
all-oil and all-liquids appear to be reasonably soon, while the oil price that
is needed to support these global production levels continues to rise. The
world faces serious constraints in its oil supply, which accounts for about
one-third of total world energy use, and over 90% of the fuel used for
transportation. Readers of this book will gain a thorough understanding of the
critical, but poorly understood, phenomenon of peak oil that has already had
significant impacts on society in terms of high oil prices, and which will
place increasing constraints on mankind’s supply of energy and economic
well-being in the coming years.

Product details

Authors R W Bentley, R. W. Bentley, R.W. Bentley
Publisher Springer, Berlin
 
Languages English
Product format Paperback / Softback
Released 01.01.2018
 
EAN 9783319799438
ISBN 978-3-31-979943-8
No. of pages 196
Dimensions 155 mm x 11 mm x 235 mm
Weight 326 g
Illustrations IX, 196 p. 34 illus., 8 illus. in color.
Series Lecture Notes in Energy
Lecture Notes in Energy
Subjects Natural sciences, medicine, IT, technology > Technology > Heat, energy and power station engineering

Nachhaltigkeit, Wirtschaftswachstum, Umwelt, B, Sustainability, ENERGY, Sustainable Development, economic growth, Energy Policy, Economics and Management, Energy technology & engineering, Energy Policy, Energy industries & utilities, Fossil Fuels (incl. Carbon Capture), Fossil fuels, Fossil Fuel, Energy and state

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