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Optimistic Model

Discuss research and forecasts regarding hydrocarbon depletion.

Optimistic Model

Unread postby pup55 » Wed 22 Jun 2005, 10:37:36

http://www.peakoil.com/fortopic9100.html
http://www.peakoil.com/fortopic9080.html
http://www.peakoil.com/fortopic9091.html

As it happens, I was working on an optimistic model that describes just this sort of scenario. This model is remarkably similar in peak date to the CERA model. Each of the optimistic values below have been cited in news stories in the past year as possible sources of new oil, but with little or no actual substantiation, but in this model, we imagine that all of the below are true: As with all of these models, this is for entertainment purposes only, and not intended as advice to go out into the country or something.

Here are the optimistic assumptions:

a. A new discovery is made in ANWR plus oil sands in the western US increase the US oil reserves to 200 GB, which is 10 times what they are right now.
b. Oil sands become economical, as claimed, and therefore Canada’s reserves increase from 16 gb to 200 gb.
c. Offshore technology improves and Mexico is able to drill an additional 100 gb to the east of Cantarell, as they have recently claimed in the news.
d. Another 100 gb is found in the Caspian, as thought by some optimists, and peace and honesty break out, allowing people to drill it.
e. 200 gb, another Saudi Arabia, is found somewhere in the vast land of Russia.
f. An additional 135 gb (doubling their currently known reserves) is found in Iraq, and peace breaks out, allowing people to drill it.
g. Saudi Arabia’s recent claim of an additional 200 gb is correct, bringing their “reserves” up to 461 gb.
h. Alan Bond’s claim of 100 gb net extractable from oil sands in Madagascar is correct.
i. China is found to have the equivalent of another Saudi Arabia in their Bohai field, 250 gb (they have recently claimed that this is true).
j. All of the above are able to be brought online in such a way as to allow capacity to be added without temporary shortages.


There are few more reasonable assumptions:
j. Based on the BP review data, the other nations that increased their production last year continue to do so at the same rate. Exception: Iraq only increases 10% per year instead of 50%.
k. The nations that are in depletion (based on their currently existing fields) also continue to do so at the same rate.
l. Consumption proceeds at the same rate as it now is, about 3.7% per year, and grows with net extraction improvements.
m. “reserves growth” happens at a rate of 2% a year, that is, reserves in all known fields magically increase by 2% per year.

The new reserves total is 1188+1485 gb or 2673 gb, which is about like the rosy scenario described by the USGS. In this model, the short-term forecast is that things go along pretty much like they are right now for another 10 years, until 2015. The Chinese will be happy to hear this. They can all buy cars, and drive them to work.

At the end of this 10 years, because of the growth in consumption, the fields really will go into net depletion, and at that point, the Verhulst curve takes over. The model is computed based on curve fit to cumulative production and also to match the 2015 data, while minimizing the error. This allows for some additional production growth, and peak, etc. like the rest of the models.

Discussion:

a. The peak of production occurs in 2026, at a level of about 61 gb/year. This is roughly twice as high as it is now. At that point, the global population is 8.2 billion, approximately.
b. The production numbers do, indeed, look kind of like a plateau for a few brief years. By 2036, 10 years after the production peak, they are still pumping about 56.5 gb per year, which is respectable.
c. There is a real problem after that, though. The downslope is really severe. In the 20 years following that, by 2056, they will lose 50% of their oil supply, and they will be at about what we are now, 30 gb/year, but with a global population of nearly 12 billion people. Sorry, but some of the Chinese are now going to have to walk to work.
d. You can calculate, if you want, the amount of investment it is going to take to expand production by another 30 gb per year. It takes about $15 per barrel in exploration and development costs (sometimes lower, sometimes higher) and the current refining capacity cost is about $6000 per bod capacity, so if my calculations are correct, the incremental 1165 gb of oil between now and 2026 will take an investment of approximately $17 trillion, which is about 1.6 years’ entire GDP of the USA. So, in rough terms, it will take 15 cents of every dollar we Americans earn, or get by speculating in real estate, for the next 20 years to pay for this all, unless somebody pushes it into the future by borrowing. Guess what is going to happen.
e. Lesson: the next time you see one of these optimistic forecasts, that says we have a lot of reserves and the peak will not happen until 2025 or so, you have to ask yourself one question: What does the downslope look like? Do you really want to live in a world of 12 billion people (and growing), and 30 gb/y of oil (and declining)?
f. Lesson #2: If you are 20 years old or so, all of this will happen in your lifetime, if this scenario is correct.
g. Lesson #3: Maybe we are better off having the peak now and getting it over with before the population gets even more out of hand.
h. Lesson #4: As long as consumption growth is allowed to continue at the current rate, the longer we wait, the harder the landing, even if we do somehow manage to find a lot more oil.
i. Lesson #5: 2025 might be interesting. All of those Chinese people, driving all of those cars to work, polluting the air, filling up the landfills with scrap materials, and then, somebody telling them they can’t drive anymore. What will their reaction be?

edit: typo in item e above
Last edited by pup55 on Wed 22 Jun 2005, 11:24:22, edited 1 time in total.
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Unread postby pup55 » Wed 22 Jun 2005, 10:40:08

Code: Select all
n      0.775986877
qinf       4,261.02
t(1/2)      125.1322163
k      0.053273091


Code: Select all
year   prod    model
1900   0.20   
1901   0.24   0.29
1902   0.27   0.30
1903   0.31   0.32
1904   0.35   0.34
1905   0.38   0.35
1906   0.42   0.37
1907   0.45   0.39
1908   0.49   0.42
1909   0.53   0.44
1910   0.56   0.46
1911   0.60   0.49
1912   0.64   0.51
1913   0.67   0.54
1914   0.71   0.57
1915   0.75   0.60
1916   0.78   0.64
1917   0.82   0.67
1918   0.85   0.71
1919   0.89   0.75
1920   0.93   0.79
1921   0.96   0.83
1922   1.00   0.87
1923   1.00   0.92
1924   1.29   0.97
1925   1.57   1.02
1926   1.86   1.08
1927   2.14   1.14
1928   2.43   1.20
1929   2.71   1.26
1930   3.00   1.33
1931   3.20   1.41
1932   3.40   1.48
1933   3.60   1.56
1934   3.80   1.65
1935   4.00   1.73
1936   4.20   1.83
1937   4.40   1.93
1938   4.60   2.03
1939   4.80   2.14
1940   5.00   2.25
1941   5.20   2.38
1942   5.40   2.50
1943   5.60   2.64
1944   5.80   2.78
1945   6.00   2.93
1946   6.20   3.08
1947   6.40   3.25
1948   6.60   3.42
1949   6.80   3.60
1950   7.00   3.79
1951   7.30   3.99
1952   7.60   4.21
1953   7.90   4.43
1954   8.20   4.66
1955   8.50   4.91
1956   8.80   5.16
1957   9.10   5.43
1958   9.40   5.72
1959   9.70   6.01
1960   10.00   6.33
1961   10.32   6.65
1962   10.64   7.00
1963   10.96   7.36
1964   11.29   7.74
1965   11.61   8.13
1966   12.62   8.54
1967   13.55   8.98
1968   14.76   9.43
1969   15.93   9.91
1970   17.54   10.40
1971   18.56   10.92
1972   19.59   11.46
1973   21.34   12.03
1974   21.40   12.61
1975   20.38   13.23
1976   22.05   13.87
1977   22.89   14.53
1978   23.12   15.23
1979   24.11   15.95
1980   22.98   16.70
1981   21.73   17.48
1982   20.91   18.28
1983   20.66   19.12
1984   21.05   19.98
1985   20.98   20.88
1986   22.07   21.80
1987   22.19   22.76
1988   23.05   23.74
1989   23.38   24.76
1990   23.90   25.80
1991   23.83   26.87
1992   24.01   27.97
1993   24.11   29.09
1994   24.50   30.24
1995   24.86   31.41
1996   25.51   32.60
1997   26.34   33.81
1998   26.86   35.04
1999   26.40   36.29
2000   27.36   37.55
2001   27.31   38.82
2002   27.17   40.09
2003   28.12   41.37
2004   29.29   42.64
2005   30.22   43.91
2006   31.36   45.18
2007   32.67   46.42
2008   34.19   47.65
2009   35.94   48.86
2010   37.97   50.04
2011   40.35   51.19
2012   43.15   52.29
2013   46.48   53.36
2014   50.48   54.37
2015   55.33   55.33
2016      56.23
2017      57.07
2018      57.83
2019      58.52
2020      59.14
2021      59.67
2022      60.11
2023      60.46
2024      60.73
2025      60.89
2026      60.97
2027      60.94
2028      60.82
2029      60.60
2030      60.28
2031      59.87
2032      59.36
2033      58.76
2034      58.07
2035      57.30
2036      56.45
2037      55.53
2038      54.53
2039      53.46
2040      52.34
2041      51.16
2042      49.93
2043      48.66
2044      47.35
2045      46.01
2046      44.65
2047      43.26
2048      41.86
2049      40.45
2050      39.04
2051      37.63
2052      36.23
2053      34.84
2054      33.46
2055      32.09
2056      30.76
2057      29.44
2058      28.15
2059      26.89
2060      25.66
2061      24.47
2062      23.31
2063      22.18
2064      21.10
2065      20.04
2066      19.03
2067      18.05
2068      17.12
2069      16.21
2070      15.35
2071      14.52
2072      13.73
2073      12.98
2074      12.26
2075      11.57
2076      10.91
2077      10.29
2078      9.70
2079      9.14
2080      8.60
2081      8.10
2082      7.62
2083      7.17
2084      6.74
2085      6.33
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Unread postby gnm » Wed 22 Jun 2005, 10:46:00

And as a result global CO2 levels rise beyond levels not seen since the Permian and the resulting massive climate shifts cause billions to be displaced from thier homes and severely impact global food production which then results in mass starvation.

Seriously is continuing to use a finite fossil fuel really a good idea? We found more Yay! is not going to fix the world for our grandchildren.

Short of fusion being viable soon (or possible a massive switch to fission) we really need to scale back!

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Unread postby turmoil » Wed 22 Jun 2005, 11:09:00

i vote for now. it doesn't make sense to push our luck, even if we have a good twenty years to convert to hydrogen, or anything else that comes along. we are energy slobs.

also, if climate keeps shifting, we won't be able to produce as much food anyway, and we will have less water to drink due to increased evaporation. either oil will get us, or other things.

Another lesson: we stupid monkeys are like any other species. We will test the carrying capacity of the Earth, and find out what it is. But our technology, unless it is powered by renewable sources, will be useless. If we can get to 2050 without major disruption to civilization, i really hope that by then, our technology is worthy of continued use.
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Unread postby khebab » Wed 22 Jun 2005, 12:23:42

Here we go! :)

Image
Figure 1
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Unread postby khebab » Wed 22 Jun 2005, 12:32:08

About the following assumption:

pup55 wrote:l. Consumption proceeds at the same rate as it now is, about 3.7% per year, and grows with net extraction improvements.


I checked the consumption data on the last BP review, the trend is quite linear:

Image
Figure 2

Therefore, is an exponential growth model appropriate for consumption?
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Unread postby pup55 » Wed 22 Jun 2005, 13:40:35

Thanks again, khebab, for the nice graph work.

The production growth curve I got was the result of extending out the production curves for the individual countries (except Iraq), based on last year's growth or decline rate, and taking the sum. So for growing countries, it is possible to grow exponentially, but for declining countries, it decreases asymtotically. That's why the increase looks more exponential. It actually will level off in the out-years to something around 8%, which is the rate of growth of the FSU and OPEC.

You can make the argument that at the moment, consumption is limted by production. If there were more oil, the Chinese would use it.

Now, you can also make the argument that consumption is not limited by production, and in fact is an even 3% or whatever, and that the gap between these two curves is the so-called "glut" that CERA is talking about, namely a surplus of productive capacity over and above normal consumption. On the other hand, an economist would argue that if this situation were to take place, prices would drop, and encourage fuel use, and discourage conservation, so the actual consumption would really be somewhere in between, so maybe this is right. The forum readers might think aboout this and comment.

Anyway, per your suggestion, if you use the 3% assumption for 10 years and then let the model take over, you get a delayed peak, back to 2033 at about 51.5 gb, and the decline curve is a little gentler, as we would expect. The 2063 production of about 30 gb is what it is today. Maybe the 13 billion people that are around at the time will find a way to be friendly and share.

The two models now illustrate the point we made above, which is, that the hardness or softness of the landing is pretty sensitive to the rate of growth of consumption.



Code: Select all
n      0.321264497
qinf       4,226.24
t(1/2)      127.245319
k      0.038317215


Code: Select all
year   prod    model
1900   0.20   
1901   0.24   1.01
1902   0.27   1.05
1903   0.31   1.09
1904   0.35   1.13
1905   0.38   1.17
1906   0.42   1.22
1907   0.45   1.27
1908   0.49   1.31
1909   0.53   1.37
1910   0.56   1.42
1911   0.60   1.47
1912   0.64   1.53
1913   0.67   1.59
1914   0.71   1.65
1915   0.75   1.71
1916   0.78   1.78
1917   0.82   1.85
1918   0.85   1.92
1919   0.89   1.99
1920   0.93   2.07
1921   0.96   2.15
1922   1.00   2.23
1923   1.00   2.32
1924   1.29   2.40
1925   1.57   2.50
1926   1.86   2.59
1927   2.14   2.69
1928   2.43   2.79
1929   2.71   2.90
1930   3.00   3.01
1931   3.20   3.12
1932   3.40   3.24
1933   3.60   3.37
1934   3.80   3.49
1935   4.00   3.63
1936   4.20   3.76
1937   4.40   3.91
1938   4.60   4.05
1939   4.80   4.21
1940   5.00   4.36
1941   5.20   4.53
1942   5.40   4.70
1943   5.60   4.87
1944   5.80   5.06
1945   6.00   5.25
1946   6.20   5.44
1947   6.40   5.64
1948   6.60   5.85
1949   6.80   6.07
1950   7.00   6.29
1951   7.30   6.53
1952   7.60   6.77
1953   7.90   7.02
1954   8.20   7.27
1955   8.50   7.54
1956   8.80   7.81
1957   9.10   8.10
1958   9.40   8.39
1959   9.70   8.69
1960   10.00   9.01
1961   10.32   9.33
1962   10.64   9.66
1963   10.96   10.01
1964   11.29   10.36
1965   11.61   10.73
1966   12.62   11.11
1967   13.55   11.50
1968   14.76   11.90
1969   15.93   12.31
1970   17.54   12.74
1971   18.56   13.18
1972   19.59   13.63
1973   21.34   14.10
1974   21.40   14.58
1975   20.38   15.07
1976   22.05   15.57
1977   22.89   16.09
1978   23.12   16.62
1979   24.11   17.17
1980   22.98   17.73
1981   21.73   18.31
1982   20.91   18.90
1983   20.66   19.50
1984   21.05   20.12
1985   20.98   20.75
1986   22.07   21.39
1987   22.19   22.05
1988   23.05   22.72
1989   23.38   23.41
1990   23.90   24.11
1991   23.83   24.82
1992   24.01   25.54
1993   24.11   26.28
1994   24.50   27.03
1995   24.86   27.78
1996   25.51   28.55
1997   26.34   29.33
1998   26.86   30.12
1999   26.40   30.91
2000   27.36   31.71
2001   27.31   32.52
2002   27.17   33.33
2003   28.12   34.15
2004   29.29   34.97
2005   30.38   35.79
2006   31.50   36.61
2007   32.67   37.42
2008   33.88   38.24
2009   35.13   39.05
2010   36.43   39.85
2011   37.78   40.64
2012   39.18   41.42
2013   40.63   42.19
2014   42.13   42.95
2015   43.69   43.69
2016      44.41
2017      45.10
2018      45.78
2019      46.43
2020      47.05
2021      47.64
2022      48.19
2023      48.71
2024      49.20
2025      49.64
2026      50.04
2027      50.40
2028      50.71
2029      50.97
2030      51.18
2031      51.34
2032      51.44
2033      51.49
2034      51.48
2035      51.41
2036      51.29
2037      51.10
2038      50.86
2039      50.55
2040      50.19
2041      49.76
2042      49.28
2043      48.74
2044      48.14
2045      47.49
2046      46.78
2047      46.02
2048      45.21
2049      44.35
2050      43.45
2051      42.50
2052      41.52
2053      40.50
2054      39.45
2055      38.37
2056      37.26
2057      36.13
2058      34.99
2059      33.83
2060      32.66
2061      31.48
2062      30.30
2063      29.12
2064      27.94
2065      26.77
2066      25.61
2067      24.47
2068      23.34
2069      22.23
2070      21.14
2071      20.07
2072      19.03
2073      18.02
2074      17.04
2075      16.08
2076      15.16
2077      14.27
2078      13.42
2079      12.59
2080      11.81
2081      11.05
2082      10.33
2083      9.65
2084      9.00
2085      8.38
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Unread postby khebab » Wed 22 Jun 2005, 14:04:22

Ok, I performed a similar estimation assuming a linear trend for consumption between now and 2015. The fit is applied without any constraints except that the data between 1963 and 1981 are removed. The estimation gives the following:

Code: Select all
SSE= 40.88
qinf= 4173 Gb: PO date= 2021.56+/-  1.40 PO value=  32.42+/-   0.58 Gb/year
k=   0.04+/- 0.002 n=   2.45+/-  0.27 t_half= 2035.04+/-  0.80


Image
Figure 3

The curve shift away from the data after 2009, the PO value is 32.42+/- 0.58 Gb/year (in 2021), the mid-point is 2035 which means that the curve is somewhat asymmetric.
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Joined: Mon 27 Sep 2004, 03:00:00
Location: Canada


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