Introduction to Peak Oil (Hardcover, 1st ed. 2016)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Lecture Notes in Energy, 34
Release date:	March 2016
First published:	2016
Authors:	R.W. Bentley
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	196
Edition:	1st ed. 2016
ISBN-13:	978-3-319-26370-0
Categories:	Books > Business & Economics > Economics > General Books > Business & Economics > Industry & industrial studies > Energy industries & utilities > Petroleum & oil industries Books > Earth & environment > The environment > Environmental economics > Sustainability Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution
LSN:	3-319-26370-6
Barcode:	9783319263700

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