Running out of and into oil:
Analyzing global oil depletion to 2050
David L. Greene The Q Group Spring 2005 Seminar Key Largo, Florida April 4, 2005
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Running out of and into oil: Analyzing global oil depletion to 2050 David L. Greene The Q Group Spring 2005 Seminar Key Largo, Florida April 4, 2005 Lost our bearings? Oil prices have broken $50 a barrel. Soaring Chinese demand is
David L. Greene The Q Group Spring 2005 Seminar Key Largo, Florida April 4, 2005
“Oil prices have broken $50 a barrel. Soaring Chinese demand is rocking energy markets. Climate-destabilising carbon emissions grow apace. New energy investments will cost over $500 billion per year. “As the World Energy Outlook 2004 goes to press, the energy world has lost its bearings.”
“The price is assumed to remain flat ($22/bbl) until 2010, and then to begin to climb steadily to $29 in 2030.” p. 39 “OPEC countries, mainly in the Middle East, will meet most of the increase in global demand. By 2030, OPEC will supply over half of the world’s oil needs – an even larger share than in the 1970s.” p. 32
International Energy Agency, 2004.
The emergence of OPEC and consequent oil price shocks in the 1970s and 80s temporarily reversed the global trend of increasing petroleum use for increasing global mobility.
WHERE WILL THE OIL COME FROM?
The graph below was not presented by Colin Campbell or Jean Laherrere, but Rex Tillerson, President of Exxon Mobil Corporation (3/11/04). One solution: OPEC will provide.
The U.S. Energy Information Administration says that OPEC will increase production 50% by 2025, spending its patrimony for no profit.
“For OPEC members, cumulative production of almost 280 billion barrels in the high A world oil price case is projected to bring in $9.9 trillion, as compared with cumulative production of 343 billion barrels and revenues of $9.7 trillion in the reference case.” AEO 2005, p. 46. “Undiscounted cumulative revenues from OPEC member country production in the high B world oil price case exceed those in the reference and high A world oil price cases, despite lower production; … ” (255 billion barrels) AEO 2005, p. 47.
“Pessimists” aka “Geologists”
Geology rules Discoveries lag production Peaking, not running out matters Expect peak by 2010
“Optimists” aka “Economists”
Economics & technology rule Rate of technological progress will exceed rate of
depletion
Market system will provide incentives to expand,
redefine resources
Stone age did not end for lack of stones
How much oil remains to be discovered? How fast might technology increase
How much will reserves grow? How fast will technology reduce the cost
How much unconventional oil is there and
No Hubbert’s curves
No geologic constraints on production rates Costs do rise with depletion, however
RESOURCE/ Production ratio limits
Analogous to a limit based on life of capital No explicit calculation of capital investment
No environmental/ social/ political
ANWAR, offshore, etc. fair game
Conventional Oil
Liquid hydrocarbons of light and medium
gravity and viscosity, in porous and permeable reservoirs.
Plus enhanced recovery and NGLs
Unconventional Oil
Deposits of density > water (heavy oil),
viscosities > 10,000 cP (oil sands) and tight formations (shale oil).
Liquid fuels can be m ade from coal or
natural gas ( not considered here) .
In 2000 the USGS published a major assessment
technological progress.
(Billions of Barrels) Speculative Resources = Undiscovered 50th to 5th percentile Estimated Additional = Undiscovered 50th percentile Reserve Growth Proved Reserves
There is even greater uncertainty about unconventional oil resources, but regions seem to divide into oil sand/heavy oil or shale oil. (1 Gtoe = 7.33 billion bbls, 20.1 mmbd)
MEA = Middle East + North Africa
Pessimists dispute the USGS estimates with the following arguments:
OPEC members overstate proved reserves Reserve growth methodology biased Range of uncertainty exaggerated Unconventional resources also much smaller than
implied by my estimates
Campbell, 2003.
A resource accounting model was constructed to simulate oil resource depletion, expansion and transition under various
rules are optimistic.
World energy scenarios were derived from existing
“business as usual”.
Most future growth of energy use is expected in the developing world (2.7%/yr v. 1%/yr).
The average growth of world oil use from 2000 to 2050 is 1.9%/yr.
An “ecologically driven” scenario foresees only an 0.8% annual growth in energy use.
In this scenario, there is a demand-driven peak in oil use.
Six depletion/transition scenarios were constructed.
Two IIASA/ WEC scenarios Three EIA Int. Energy Outlook to 2020 Two DOE/ NRCan NA transport projections Three sources of conventional oil resource
estimates
Three unconventional oil estimates
A risk analysis was carried out, defining key parameters as random variables.
Reference/USGS: non-Middle East oil production peaks by 2030 with 90% probability.
Reference/Rogner: Non-MEA peak likely anytime 2010-2040.
If Campbell’s estimates are correct, the non-MEA peak will occur before 2010.
The most important determinant of the date of peaking is…how much oil there is.
From 2.7 Gtoe in 2001, non-MEA oil production is estimated to increase substantially.
Lower R/P ratios, more oil resources, slower growth of MEA production all raise the level of peak ROW output.
The total world oil production peak could be significantly later, perhaps after 2050.
The world peaking date depends strongly on the rate of expansion of Middle East production.
Under median assumptions, unconventional oil production must expand rapidly after 2020.
Using the upper range of values of the 5 factors that most strongly influence the world peaking date yields a broad, flat ROW curve.
Slowing the growth of MEA production raises prices and further delays the ROW peak.
The price estimates of my model are not predictions. They reflect optimistic assumptions about supply technologies. Their purpose is to regulate the market mechanisms by which unconventional resources are introduced.
The optimism of the model is reflected in increasing US production to 2020.
The Middle East could maintain a dominant position through 2050.
Rapid expansion of heavy oil and oil sands is needed to allow world oil use to continue to grow.
The ability to produce vast quantities of shale oil (or liquids from coal) is even more uncertain.
to decrease after 2020 in any case
unconventional oil may be rapid: 7-9% / yr growth
Venezuela, Canada, Russia
(or coal, NG) may be needed before 2050
geologic constraints on production rates; relies on target resource-to- production ratios
environmental or political constraints
coal-to-liquids
resource estimates weak
equilibrium based modeling of oil demand
Visit http: / / www-cta.ornl.gov/ cta/ Publications/ Publications_2003.html
Or contact David L. Greene at: dlgreene@ornl.gov
EIA used a few simple assumptions to produce a range of peak year estimates with implausible transitions and ignoring OPEC.
The model predicts that production may peak before proved reserves (caveat).
“Never mind that man behind the curtain.”
(Wizard of Oz)
It is imperfect, because it is a cartel of
sovereign states with differing interests.
It faces a (mostly) competitive fringe. Some members of the fringe collude with the
cartel at times.
Five factors determine the cartel’s market
power.
Price elasticity of ROW supply Price elasticity of World Demand Market Share Rate of growth of World Demand Rate of growth/ decline in ROW supply
In theory, a partial monopolist’s power (in a static market) depends on three things.
S = Share of world oil market ( 0 < S < 1 ) µ= Rest-Of-World supply response ( -1 < µ < 0 ) Short- v. long-run elasticities differ by an order of magnitude! Growing demand or declining supply amplify market power.
These economic parameters define the space in which the cartel can operate, not what it will do.
Source: BP, EIA; OPEC Core is Venezuela, Iran, Iraq, Kuwait, Qatar, Saudi Arabia, UAE, Algeria & Libya.
Growing world oil demand and peaking ROW oil supply affect the calculus in two ways.
Cartel effectiveness enhanced
It is easier to not expand capacity than to cut
production.
Cartel m arket pow er m agnified
Growing demand increases the inverse
elasticity term
Peaking ROW production diminishes the ROW
supply response term
1 , 1 , 1 ) ( ) 1 ( ) ( ) 1 ( 1 < < < < ⎟ ⎟ ⎠ ⎞ ⎜ ⎜ ⎝ ⎛ + − + + = δ ρ μ δ β ρ P S P C P