240 likes | 371 Views
Peak Oil – Myth or Menace?. Models to help understand peak oil Dr. Robert J. Brecha University of Dayton. Chautauqua Course, May 24-26, 2007. US-48 Production. Alaska to the Rescue?. US Energy Information Agency: http://www.eia.doe.gov. US. Indonesia. UK. Iran?. Venezuela.
E N D
Peak Oil – Myth or Menace? Models to help understand peak oil Dr. Robert J. Brecha University of Dayton Chautauqua Course, May 24-26, 2007
Alaska to the Rescue? US Energy Information Agency: http://www.eia.doe.gov
US Indonesia UK Iran? Venezuela Many Countries Have Peaked! http://www.bp.com
OPEC Proved Crude Oil Reserves Energy Information Agency, posted March 2005, January 1, 1980 - January 1, 2005 Estimates
Peak Models USGS BP
www.ihs.com US Geological Survey Estimates Bentley, Global Oil and Gas Depletion – an Overview, Energy Policy30 (2002)
Rough Outline of the Future • USGS published reserve estimates in 1998 • EIA uses those estimates, along with consumption patterns to predict future growth • A gap between predicted demand and predicted production appears by 2030 • Gap is to be filled with a) Saudi Arabia producing >17 MMbbl/day, and b) “unidentified unconventional” sources
dQ = kQ(1 – Q/Q∞) dt Logistic Curve “Economic” argument: We will always find more and increase ultimate recovered amount 1980 Prediction
Problem with Logistic Curves At early stages, curves for widely differing total amounts may look very similar. There are too many free fitting parameters
Hubbert Linearization P = kQ(1 – Q/Q∞) Q (Gbbl) http://www.theoildrum.com/story/2006/1/11/6047/13568
One Prediction (1998) R.C. Duncan and W. Youngquist,“Encircling the Peak of World Oil Production,” Natural Resources Research 8, 219-233 (1999). Also by the same authors: “The World Petroleum Life-Cycle” http://www.dieoff.com/page133.pdf
Finding Norways R.C. Duncan and W. Youngquist, “The World Petroleum Life-Cycle” http://www.dieoff.com/page133.pdf
2/3 ! Matthew Simmons – “Twilight in the Desert”
Summary • Believe “official predictions” • Gaussian fitting • Logistic model • Cumulative • Yearly • Linearization • Country-by-country watch • Monthly data