I spent the afternoon digging up links to some of Laherrere's pdf's and found what I was looking for, or close to it.
Hubbert's analysis shows two graphs, one for cumulative:
and one for annual rates:
Each shows an inflection point where reserves stop growing, a point that is about halfway between the peaks in discovery and production, and which also happens to be the same point at which the discovery and production curves cross in the annual rates graph.
I fond graphs for world data by Laherrere that show cumulative:
and annual rates:
neither of which has a curve for reserves, although the same document had this graph showing "political" vs. backdated reserves on the same scale as the cumulative graph:
A few minutes spent in Photoshop and I was able to transpose the backdated reserves curve (here in blue) on the cumulative logistic models:
Yep, it all checks out. In Laherrere's annual rates graph we can clearly see that the discovery and production curves did in fact cross in about 1980, just as the oil shocks hit, and in the cumulative graph this corresponds perfectly to the inflection point in the backdated reserves, also right about 1980.
Hubberts analysis was spot on. World discovery peaked in about 1965, 15 years before the inflection point, and if the oil shocks had not flattened production the "idealized" production curve would have peaked 15 years after inflection in 1995, just as Hubbert predicted.
Now that we know the inflection point lies halfway between the peaks in the discovery and production curves, and we know that the world inflection point was 15 years after the peak in discovery, we can clearly see in the cumulative graph that the oil shocks pushed the production curve out by about 15 years from what would have been the ideal curve,
which puts the peak of world production in 2010.
Here's an interesting question: Is it my imagination or is there also a correlation between the inflection point and the point at which the data in a Linearization "settles down"?
Could this be a new means of determining at what point in time to begin the linear regression?
Cheers,
Jerry