Tue, 07/07/2009 - 08:05 — admin
An update on the latest production
numbers from the
EIA along with graphs/charts of
different oil production forecasts.
World oil production (EIA Monthly) for crude oil
+ NGL. The median forecast is calculated from 15 models that are
predicting a peak before 2020 (Bakhtiari, Smith, Staniford, Loglets,
Shock model, GBM, ASPO-[70,58,45], Robelius Low/High,
HSM,Duncan&Youngquist). 95% of the
predictions sees a production
peak between 2008 and 2010 at 77.5 - 85.0 mbpd (The
95% forecast variability area in yellow is computed using a bootstrap
technique). The magenta
area is the 95% confidence interval for the population-based model.
Click
to Enlarge.
http://www.7gen.com/blog/20081026/24961-aspousa-2008 -->
Notations:
- mbpd= Million of
barrels
per day - Gb= Billion of barrels
(109) - Tb=
Trillion of barrels
(1012) - NGPL= Natural Gas Plant Liquids
- CO=
Crude Oil + lease condensate - NGL=
Natural Gas Liquids (lease condensate + NGPL) - URR= Ultimate Recoverable
Resource
EIA Last Update (March)
Data sources for the production numbers:
- Production data from BP Statistical
Review of World Energy (Crude oil + NGL). - EIA data
(monthly and annual productions up to March 2009) for crude oil and
lease condensate (noted CO) on which I added the NGPL production (noted
CO+NGL).
The all liquid peak is now July 2008 at
86.65 mbpd, the
year to date average production value in 2009 (3
months) is down from 2008 for all the categories. The
peak date
for Crude Oil + Cond. is also July 2008 at 74.80 mbpd (see Table I
below).
Fig
1.- World production (EIA data). Blue lines and pentagrams are
indicating monthly maximum. Monthly data for CO from the EIA. Annual
data for NGPL and Other Liquids from 1980 to 2001 have
been upsampled to get monthly estimates.
Category
MAR 2009
MAR 2008
MAR 2007
12 MA1
2009 (3 Months)
2008 (3 Months)
2007 (3 Months)
Share
Peak Date
Peak Value
All Liquids
83.75
85.98
84.25
84.93
83.60
85.48
84.42
100.00%
2008-07
86.65
Crude Oil + NGL
79.97
82.35
80.92
81.14
79.79
81.73
80.96
95.49%
2008-07
82.88
Other Liquids
3.78
3.63
3.33
3.79
3.81
3.75
3.45
4.51%
2008-11
3.89
NGPL
7.97
8.06
7.95
7.89
7.86
7.93
7.96
9.52%
2008-07
8.08
Crude Oil + Condensate
72.00
74.29
72.97
73.25
71.93
73.80
73.01
85.97%
2008-07
74.80
Canadian Tar Sands
1.26
1.19
1.26
1.22
1.24
1.20
1.19
1.50%
2007-08
1.35
Table I -
Production
estimate
(in millions of barrels per day (mbpd)) up to March 2009 taken from
the EIA website (International
Petroleum Monthly). 1Average
on the last 12 months. Canadian tar sands production numbers are from
the NEB and includes updagraded and
non-upgraded bitumen.
Business as Usual
- EIA's International
Energy Outlook 2006, reference case (Table E4, World Oil
Production by Region and Country, Reference Case). - IEA total liquid demand forecast for 2006 and 2007 (Table1.xls).
- IEA World Energy Outlook 2008, see post here for details.
- IEA World
Energy Outlook 2006 : forecasts for All liquids, CO+NGL and
Crude Oil (Table 3.2, p. 94). - IEA World
Energy Outlook 2005 : forecast for All liquids (Table 3.5). - IEA World
Energy Outlook 2004 : forecast for All liquids (Table 2.4). - A simple demographic model based on the observation that
the
oil produced per capita has been roughly constant for the last 26 years
around 4.4496 barrels/capita/year (Crude Oil + NGL). The world
population forecast employed is the UN 2004 Revision Population
Database (medium variant). - CERA
forecasts for conventional oil (Crude Oil + Condensate?) and all
liquids, believed to be productive capacities (i.e. actual production +
spare capacity). The numbers have been derived from Figure 1 in Dave's response
to CERA.
Fig 4.- Production forecasts assuming no visible peak.
PeakOilers: Bottom-Up Analysis
- Chris Skrebowski's megaprojects database (see
discussion here). - The ASPO forecast from April newsletter (#76):
I took the production numbers for 2000, 2005, 2010, 2015 and 2050 and
then interpolated the data (spline) for the missing years. I added the
previous forecast issued one year and two years ago (newsletter #58
and #46
respectively). - Rembrandt H. E. M. Koppelaar (Oil
Supply Analysis 2006 - 2007): "Between 2006 and
2010 nearly 25 mbpd of new production is expected to come on-stream
leading to a production (all liquids) level of 93-94 mbpd (91 mbpd for
CO+NGL) in 2010 with the incorporation of a decline rate of 4% over
present day production". - Koppelaar Oil
Production Outlook 2005-2040 - Foundation Peak Oil Netherlands
(November 2005 Edition). - The WOCAP
model from Samsam Bakhtiari (2003). The forecast is for crude
oil plus NGL. - Forecast by Michael Smith (was at the Energy
Institute, now works for EnergyFiles) for CO+NGL,
the data have been taken from this chart
in this presentation
(The Future for Global Oil Supply (1641Kb), November 2006.). - PhD thesis of Frederik
Robelius (2007): Giant Oil Fields - The Highway
to Oil: Giant Oil Fields and their Importance for Future Oil Production.
The forecasts (low and high) are derived from this chart. - Forecast by TOD's contributor Ace,
details can be found in this post. - The forecast by Duncan and Youngquist made
in 1999, see also this post
by Euan Mearns.
Fig 5.- Forecasts by PeakOilers based on bottom-up
methodologies.
PeakOilers: Curve Fitting
The following results are based
on a linear or non-linear fit of a parametric curve (most often a
Logistic curve) directly on the observed production profile:
- Professor Kenneth S. Deffeyes forecast (Beyond
Oil: The View From Hubbert's Peak): Logistic curve fit
applied on crude oil only (plus condensate and probably excluding tar
sand production) with URR= 2013 Gb and peak
date around November 24th, 2005. - Jean
Lahèrrere (2005): Peak
oil and other peaks, presentation to the CERN meeting, 2005. - Jean Lahèrrere (2006): When
will oil production decline significantly? European Geosciences Union,
Vienna, 2006. - Logistic curves
derived from the application of Hubbert Linearization technique by
Stuart Staniford (see this post
for details). - Results of the Loglet
analysis. - The Generalized Bass Model
(GBM) proposed by Prof. Renato Guseo,
I used his most recent paper (GUSEO,
R. et al. (2006). World Oil Depletion Models: Price Effects Compared
with Strategic or Technological Interventions ; Technological
Forecasting and Social Change, (in press).). The GBM is a
beautiful model that has been applied in finance and marketing science
(see here
for some background). The estimation in Guseo's article
was
based on BP data from 2004 (CO+NGL). - The
so-called shock model proposed by TOD's poster WebHubbleTelescope .
You can find a description of his approach on his blog here
as well as a review on TOD.
The current estimate was done in 2005 based on BP's data (CO+NGL). - The
Hybrid Shock Model is a variant of the shock model described here.
The forecast is based on EIA data (up to 2006) for crude oil +
condensate, the ASPO backdated disovery curve and assumes no reserve
growth and declining new discoveries.
Fig 6.- Forecasts by PeakOilers using curve fitting
methodologies.
Forecast Performance
It is difficult to compare forecasts because they deal with different
liquid category and have different baseline. The forecasts were
evaluated using the Mean Asolute Scaled Error (MASE) proposed by
Hyndman and
Koehler [1]. A good forecast will have a MASE value less than 1 (i.e.
better performance than a simple naive forecast). We can notice than
some MASE curves are decreasing with time indicating that their
predicted values are getting more accurate further in time.
Fig. 7. - MASE values
as a function of the forecast horizon.
Forecast
Date
2006
2008
2009
2010
2015
MASE2
Peak Date
Peak Value
All
Liquids
Observed
(All Liquids)
84.54
85.48
83.60
NA
NA
2008-07
86.65
IEA (WEO)
2004
83.74
87.08
88.74
90.40
98.69
0.39
2030
121.30
IEA (WEO)
2005
85.85
89.35
90.98
92.50
99.11
0.64
2030
115.40
Koppelaar
2005
85.78
87.60
88.33
89.21
87.98
0.42
2011
89.58
Lahèrrere
2005
84.47
85.87
86.46
86.96
87.77
0.20
2014
87.84
EIA (IEO)
2006
84.50
88.23
90.00
91.60
98.30
0.65
2030
118.00
IEA (WEO)
2006
85.10
88.17
89.73
91.30
99.30
0.68
2030
116.30
CERA1
2006
89.52
93.75
95.34
97.24
104.54
1.89
2035
130.00
Lahèrrere
2006
84.82
87.02
87.99
88.93
92.27
0.46
2018
92.99
Smith
2006
87.77
94.38
96.98
98.94
98.56
0.39
2012-05
99.83
IEA (WEO)
2008
83.15
85.51
86.80
88.15
94.40
0.63
2030
106.40
Crude
Oil + NGL
Observed
(EIA)
81.25
81.73
79.79
NA
NA
2008-07
82.88
Duncan & Youngquist
1999
83.93
83.55
82.90
81.65
73.47
0.11
2007-01
83.95
Population based
2004
79.73
81.58
82.50
83.42
88.01
0.33
2050
110.64
GBM
2003
76.27
76.20
75.87
75.30
67.79
0.17
2007-05
76.34
Bakhtiari
2003
80.89
80.24
78.94
77.64
69.51
0.17
2006
80.89
ASPO-46
2004
80.95
80.59
80.31
80.00
73.77
0.12
2005
81.00
ASPO-58
2005
82.03
84.05
84.74
85.00
79.18
0.53
2010
85.00
Staniford (High)
2005
77.92
78.63
78.86
79.01
78.51
0.18
2011-10
79.08
Staniford (Med)
2005
75.94
75.91
75.76
75.52
73.00
0.30
2007-05
75.98
Staniford (Low)
2005
70.13
69.20
68.60
67.92
63.40
0.64
2002-07
70.88
IEA (WEO)
2006
81.38
83.96
85.24
86.50
92.50
0.72
2030
104.90
Koppelaar
2006
82.31
85.60
88.03
91.00
NA
1.20
2010
91.00
Skrebowski
2006
81.97
85.14
86.76
87.95
NA
1.01
2010
87.95
Smith
2006
82.81
88.27
90.58
91.95
88.60
0.34
2011-02
92.31
Loglets
2006
82.14
83.74
84.29
84.65
83.26
0.14
2012-01
84.80
ASPO-76
2006
79.00
85.06
88.49
90.00
85.00
1.11
2010
90.00
Robelius Low
2006
82.19
82.35
81.92
81.84
72.26
0.39
2007
82.50
Robelius High
2006
84.19
89.27
91.65
93.40
92.40
2.11
2012
94.54
Shock Model
2006
80.43
79.51
78.93
78.27
73.74
0.37
2003
81.17
EWG
2007
81.00
79.79
79.00
78.06
69.21
0.41
2005
81.39
IEA (WEO)
2008
79.80
81.59
82.49
83.40
87.40
0.71
2030
95.00
Crude
Oil + Lease Condensate
Observed
(EIA)
73.46
73.80
71.93
NA
NA
2008-07
74.80
ASPO-46
2004
72.56
71.89
71.47
71.00
63.55
0.20
2005
72.80
Deffeyes
2004
69.92
69.64
69.37
69.01
65.98
0.17
2005-12
69.94
ASPO-58
2005
73.80
75.39
75.89
76.00
69.50
0.44
2010
76.00
IEA (WEO)
2006
71.78
73.76
74.74
75.70
80.30
0.38
2030
89.10
CERA1
2006
76.89
80.35
81.58
82.29
83.83
2.00
2038
97.58
ASPO-76
2006
72.10
75.74
77.47
78.00
72.00
0.75
2010
78.00
HSM
2007
73.56
73.40
73.16
72.82
69.53
0.28
2006
73.56
Ace
2007
73.48
72.18
69.77
66.96
58.47
0.12
2006-01
73.55
IEA (WEO)
2008
69.73
70.64
71.06
71.46
73.00
1.07
2030
75.20
Table II. Summary of
all the
forecasts (figures are in mbpd) as well as the last EIA estimates.1Productive
capacities. 2MASE
value for March 2009, the value in bold indicates the best forecast
(i.e. the oldest
with the lowest error).
Are We There Yet?
We can consider two competitive models for the crude oil + NGL
production:
- M0:
The oil production will continue to grow with the world population at a
constant rate of 4.3 barrels per capita. - M1:
The production will fall according to the average peak oil
forecast.
These two models are represented as a magenta and a yellow area on the
top figure of this post. According to the M0 model, the current fall in
production levels for March 2009 is 0.004 significant. However lower
deviations were observed in the late 90s and in 2001 (there were
previously 16 months with larger deviations since 1990). The likelihood
ratio between the two models has significantly increased above 3
indicating than the M1 model is more stronly supported by the recent
production levels than the M0 model which was not the case before 2009.
Fig. 8 - Likelihood ratio
(M1/M0) at the left and Statistical significance of observed production
levels according to M0 (the red circle is March 2009).
Previous Update:
August
2008
[1] Rob J. Hyndman, Anne B. Koehler, Another look at
measures of
forecast
accuracy, International Journal of Forecasting, Volume 22, Issue 4,
October-December 2006, Pages 679-688. pdf available here.
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Comments
Fri, 04/16/2010 - 13:17 — chattan
quSqzUuFBMBxRIz
Wed, 04/14/2010 - 16:49 — chattan
olxzKZVAFC
Tue, 04/13/2010 - 12:51 — chattan