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255 comments on DrumBeat: October 9, 2007
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255 comments on DrumBeat: October 9, 2007
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GAIA Host Collective
If China is importing 18% more oil,
Who is importing 18% less?
I think there are some clues among the articles posted up top.
Also check out the year over year total petroleum import numbers for the US. We have been meeting product demand by drawing down inventories.
The concluding paragraphs from my Net Export/Crude Oil Inventory article:
WestTexas:
One feature I think missing from your Export Land Model is that in some cases the amount of crude available for export is negatively correlated with the market price of the crude. Consider I am the king of export land. At the beginning of the year I plan to sell 1 billion barrels at $60 each. I thus create a budget with $40B going to government support, which buys nice things for my citizens. $10B going to the operation of my national oil company; and $10B going to myself for my personal account. Now lets say the actual price averages $80 for the year. Thats $20B extra to spend that we werent planning on. Since I am such a belevelant ruler, I am going to give the people $1B extra in government spending, and give my oil company employees $1B extra in bonuses, and I have $18B to spend on myself. Do you think I am going to spend my time this year sitting in on oil company meetings to devise new exploration strategies, and starting new drilling programs; or do you think i'm going to go shopping for a new yaught and spend the summer cruising? My oil ministers, sure I'd like them to do new exploration, but we have all the revenue we need allready, and they allready have a fat bonus, so we aren't too concerned about new production.
If the price received had gone down, now all of the sudden we would have less revenue to meet our budget, and there would be a big problem on our hands. I might have to cancel some of my spending plans, and you can be sure i would be visiting the oil ministers to insist on getting their production up.
The point is that with a resource controlled by a ruling family or president, they have a fixed amount of money they would like to spend; beyond that they are satisfied and not interested in working very hard to increase production, no matter how badly the rest of the world wants their oil.
Regarding production, I think that the primary factor driving the decline rate is depletion. While I think that private companies are incrementally better than National Oil Company's (NOC's) at producing oil, I don't think that it is material difference.
Consider the fact that Texas and the North Sea have shown decline rates of about -4%/year and -4.5%/year (crude + condensate) respectively since peaking:
Private companies + Virtually no restrictions on drilling + Oil price increase in the years following the peak + Increased drilling = Lower crude oil production.
The function of private companies and NOC's in post peak regions is to slow the rate of decline in production.
So, if NOC's are not investing what they should, I would think that it will probably accelerate the decline rate, but it's just a question of what the decline rate is.
On the consumption side, I expect to see cash flows from export sales increasing, even as export volumes fall, because of rising oil prices--at least initially anyway--probably resulting in increased domestic consumption in exporting countries.
WT,
When I was a wee pup in college I was employed writing simulation software. Plant the corn on a certain day, tell it how much rainfall it gets, and how many growing degree days, then check your maturation date and yield. This was given to agronomy students to help them understand the connection between the variables.
The Export Land Model might get a lot more traction if ExportLandModel.com had a nice interface and people could adjust URR, depletion rates, and so forth, then see what the results would be. Do you know anyone who would be willing to set up and code up such a thing, thusly making the model more accessible to mere mortals who don't like digging through graphs and tables with a pencil in hand?
-SCT
Khebab could look at it after he finishes the net export heavy lifting, although I suspect he will be taking a break after the slides are done.
Its baby stuff in terms of analysis but it only has to get the front page of DailyKos once and a thousand people will come, play, and understand ...
Motivated by your suggestion, I started playing around a little with Excel, trying to create a simulation model. I didn't get very far! Maybe somebody here can get me on track.
I thought what I should do is to create basic supply and demand curves. How about a single supply curve, volume as a function of price. And then two demand curves, one for the internal demand of producers and then another for the demand of non-producers. Of course one could create lots of supply and demand curves, e.g. one for each major global participant.
What ties it all together, of course, is that the equations have to balance. There will be some global price at which the sum of all volumes supplied equals the sum of all volumes consumed.
So that basic equation would get solved for every time step by the simulator. One could then look at the resulting amounts consumed by non-producing nations or whatever other number is of interest.
The first challenge is to get nice shapes for the supply & demand curves.
I think WT's essential point regarding exports is that the elasticity of producers is significantly different than for non-producers. If the price goes up, more profits go into the pockets of producing countries. Surely with the higher prices being paid by non-producers, the producers will be happy to export more petroleum. But if the price goes up by 10%, maybe 7% of that just goes into the pockets of the producer, so the volume they consume goes down only as much as a non-producer's volume would if the price went up 3%.
My instinct is to make the supply-demand curves linear, so then the solutions are just linear too. I'm not sure if this is going to make things interesting enough or not.
The fun thing, of course, is how things change over time. The producing curve(s) should follow the Logistic equation or something similar. Should the elasticity just be some constant???
Then: what about time variation in the demand curves? The simplest thing is just to stick in some time-varying functions that are just assumed. But maybe there should be some real dynamics. E.g. if Qatar can spend an extra zillion dollars this year, maybe building a huge ski resort by the edge of the Persian Gulf, then that will drive up their demand next year - they'll want to be producing the snow for those slopes!
It's a nice little project! Unfortunately I don't know enough Java to be able to make a little applet out of this sort of thing. But if I get a spreadsheet put together, I'd be happy to post it.
I think it is good groundwork to develop an Excel based model and if you'd like to email me I'll take a look at it. Perhaps we can save Khebab some of the footwork by checking and playing with a clumsy version before the time comes to transcribe it into something fun and informative for the masses.
ELM speaks to us, but I think its a little slim for the layman - one has to know the context well to apply it. It would be nice to see a table driven sort of thing that will do scenarios - ie what if the U.S. drops the hammer on Iran? Their production goes out, but so does their gasoline use ... that sort of thing will get another class of interested party digging in and playing around in a way that the current methods of communicating the state of the global oil supply does not.
So here is a first output from a simple excel simulator. The non-producer starts out bigger than the producer, but the producer has a lower sensitivity to price & so outgrows the non-producer. What is plotted is the consumption of the two players. The non-producer peaks quickly while the non-producer slowly grows and peaks much later.
I would want to determine just what the inputs are first - as a rough guess:
Top ten producers
Top ten consumers
Decline rate by producer
Demand increase by consumer
And then with this I'd want to be able to adjust the parameters and see what happens - do things like "Lets take Cantarell off line for good due to hurricane damage.", "What if the Saudis bring that 900k bpd field back online?", or "What if the U.S. is mental and attacks Iran, ruining their consumption and production?"
It would be nice to have some conclusions that come up based on the numbers - things like predicted price per barrel, number of countries in crisis based on fuel prices, the estimated DOW number, etc.
There would need to be a well organized library - articles on super giant fields, references to producers and what they're up to, and so forth. All of this stuff would all have to cluster neatly around an engaging simulation tool that would quickly permit "what if" play.
That is lots of work to fit the knowledge this site carries into layman's terms and perhaps above ground issues will sweep peak oil discussion into the MSM's daily news of the deeply weird sooner than we'd care to experience the effects.
There are different levels of modeling possible. Let me use planetary posititions as an analogy. Suppose we want to predict the relative positions of mars and jupiter in the night sky.
One way is to put the known eliptical orbits into a spreadsheet. Then the spreadsheet can do a bit of trigonometry to compute angles from coordinates.
The other way is to put Newton's law in, how the force of gravity varies with distance, and let the velocity change depending on the acceleration, and let the ellipses emerge from the simulation.
We have this choice because we can solve, at least for the cimple two-body case, the equations for gravity and acceleration - we know that the solution is the elliptical orbits. If you add in the gravitational attraction between mars and jupiter to make it a three body problem, then the solutions are no longer elliptical, and only the second simulation method can be used. Nobody knows how to solve the three body problem exactly!
The logistic equation itself can be solved, so we have a similar choice here with petroleum production.
http://mathworld.wolfram.com/LogisticEquation.html
So I learn here that the solution is the sigmoid function. The differential equation is the logistic equation - this corresponds to Newton's inverse square law of attraction and the law relating force to acceleration. The sigmoid function is the solution to the logistic equation, just like the ellipse is the solution to the planetary differential equation.
But we can tweak the logistic equation, just like we can tweak the two body planetary system to make a three body planetary system.
The tweak I used for my simulation was to add some price sensitivity to the production equation. The higher the price, the more petroleum is produced. Then I have two consumers who can bid for that petroleum.
So the inputs to my simulation don't include the decline rate of the producer. What goes in the parameters to the differential equations and the initial conditions. E.g. how much recoverable petroleum was there originally and how much has already been produced at the time the simulation is to start. The decline rate is then a result of the simulation - which looks a lot like the usual sigmoid function, of course, but the price ddes vary with time, so it won't be exactly a sigmoid.
Fitting all the parameters to our actual historical reality, that's one nice future challenge. Then of course one can add various external forces or allow parameters to vary over time into the future. It's a spreadsheet! Just a bunch of numbers and formulas! Highly editable!
If so, that's a sharp change from the end of July, when US total oil stocks (as well as OECD stocks in general) were at the upper end of their 5-year range (IEA, p.29-32).
18% of few barrels is not much.