46 comments on Links to tutorial material on Hubbert Linearization
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46 comments on Links to tutorial material on Hubbert Linearization
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I guess I am more into the understanding rather than the predictive properties. I just don't get how this stuff works out without any kind of forcing function included. I am categorizing this set of formulations under the heading "Immaculate Conception Hubbert Peak Analyses". Without a forcing function, I might as well look into causes of Spontaneous Human Combustion.
A thought experiment for us to engage in. Say from now out, time=T, the quantity of discoveries followed as:
K/(C + (time-T))
In this case, we would still have the peak centered at the same point but the URR will blow up to infinity. Until this is discussed by someone other than me, I can say that it is "swept under the rug", which is a mildly-offensive euphemism for "ignored". And for all I know someone has discussed this, but I don't know about it.
Oops, maybe that was an insult as well. I will try to stifle myself, and just consider anything outside the bounds of decent behavior as my attempts at snark (people such as Michael Lynch, George W. Bush, and Michael Crichton excluded).
I agree, as I've said repeatedly, that we lack a theoretical understanding of why the US production curve is so Gaussian and that's unsatisfactory. However, I view that as an interesting challenge that we should try to solve rather than a reason to dismiss the fact that it has been so up to now (modulo some noise).
It was George Stigler (I think) in his first edition (late 1940s I believe) who pointed out for the first time that BECAUSE we economists do not know the empirical shape of most supply and demand curves that we should draw them as straight lines TO EMPHASIZE THAT THEY ARE ARBITRARY AND DO NOT REFER TO THE REAL WORLD. Unfortunately, after Stigler, relatively few authors make his point, thus needlessly confusing generations of miserable and bewildered and hostile students.
HOWEVER, I shout;-)
For a small change in price for a well-behaved supply or demand function a straight line is often a pretty darn good approximation to the real world.
It is almost never a decent approximation for a large (say more than 20%) change in price.
When I taught economics I explained these nuts and bolts, and guess what: Almost half my students got a fairly good understanding of supply and demand. In the typical introductory and even intermdiate microeconomics classes at U.C., Berkeley, my guess is that fewer than ten percent grasped the most basic fundamentals of supply and demand.
Now elementary need not be hard at all. No! The problem is that most teachers of lower division classes do not give a darn about teaching and could care less that 90% of the students are ignorant of fundamentals.
Grump.
The linearization talked about here concerns a technique to turn a highly non-linear function into a straight line. It has nothing to do with small perturbations affecting linearity to the first order, as a Taylor series approximation does.
That property I do believe in but that does not influence my disagreement with the original premise of using a logistic curve or gaussian curve formulation to describe the stochastic behavior.
I think (but do not know) that Stuart agrees with my line of reasoning; he has expressed it himself in somewhat different words--just a few days ago.
The key point is that Hubbert, in 1956, accurately predicted the Lower 48 peak.
What Khebab and I attempted to address was how good the HL model was at predicting post-peak cumulative production, using only Lower 48 production data through 1970. The answer was that actual cumulative Lower 48 production was 99% of what the HL model predicted that it would be.
Assuming that Deffeyes is right that we are past the peak of conventional crude + condensate production, the HL model should therefore offer us a very accurate prediction for post-peak world production.