Author: D Coyne

US Tight Oil Estimate and Projection to Dec 2019

D Coyne 305 Comments

New tight oil estimates were recently released by the EIA. The chart below compares estimates from Dec 2018 to May 2019, where the Dec 2018 estimate is that estimate with the most recent month estimated being Dec 2018 and likewise the May 2019 estimate has May 2019 as the most recent month estimated. The May 2019 estimate is fairly close to the April 2019 estimate with a slight downward revision of the April 2019 estimate from 7399 kb/d to 7368 kb/d, March 2019 was also revised lower by 10 kb/d from 7292 kb/d to 7282 kb/d. For May 2019 the most recent estimate is 7462 kb/d and if past history repeats this estimate may be revised lower next month.

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Oil Shock Model Scenarios

D Coyne 391 Comments

Many different oil shock model scenarios have been presented over time at Peak Oil Barrel. Information on the Oil Shock Model, originally developed by Paul Pukite can be found in Mathematical Geoenergy. The future is unknown, so future extraction rates from conventional (excludes tight oil and extra heavy oil) oil producing reserves are unknown. Also not known are future oil prices which will affect the amount of tight oil and extra heavy oil that is ultimately produced.

For tight oil I have created three scenarios corresponding to a low, medium and high oil price scenario. Likewise I have created three scenarios for extra heavy oil which correspond to the same low to high price scenarios used for the tight oil scenarios.

The mean estimates by the United States Geological Survey (USGS) for technically recoverable resources in tight oil plays combined with reasonable economic assumptions and data gathered from www.shaleprofile.com are used to model tight oil output. The EIA’s AEO 2018 reference oil price scenario is used for the high oil price case and the low scenario uses the AEO reference price case up to the date when it reaches $70/b in 2017$ and assumes oil prices remain at $70/b for all future dates. The medium oil price scenario is the average of the low and high price cases.
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