Stories tagged with "modeling"
New World Model – EROEI issues
Posted by Chris Vernon on August 24, 2009 - 10:48am in The Oil Drum: Europe
Topic: Demand/Consumption
Tags: energy, eroei, limits to growth, modeling, population, resources [list all tags]
When I published the results on The Oil Drum of my New World Model, based on World3 (the “Limits to Growth” model) – see here, many of the questions and issues that people had were around EROEI. So I’m writing this article to clarify how the model uses EROEI and the results in some alternative scenarios where EROEI is changed in different ways.

Total energy production and industrial output in the New World Model.
Forecasting Coal Production Until 2100
Posted by Gail the Actuary on April 7, 2009 - 10:30am
Topic: Supply/Production
Tags: coal, coal production, modeling, peak coal [list all tags]
The paper is under the fold. We have tried to render the article in HTML, but it is difficult to make the formatting as perfect as when it is typeset. Please accept our apologies. A PDF version of the article can be downloaded here, if you prefer that format.
A New World Model Including Energy and Climate Change Data
Posted by Chris Vernon on April 3, 2009 - 10:18am in The Oil Drum: Europe
Topic: Environment/Sustainability
Tags: climate change, energy, limits to growth, modeling, population, resources [list all tags]
Abstract: An updated systems model of global climate, resources, and energy extending the original World3 (“Limits to Growth”) model by inclusion of climate change and it's interaction with resources and energy. Outcomes are derived for total energy resources, human population, nutrition, consumption, economic activity and other parameters. Long-term outcomes are derived for a 1900 C.E. to 2100 C.E. time sequence, with human population decline.
Houston ASPO - the Workshop day
Posted by Heading Out on October 18, 2007 - 10:30am
Topic: Miscellaneous
Tags: cera, freeport, ghawar, iea, investment, lng, modeling, qatar, saudi arabia [list all tags]
Seven am breakfasts in O’Hare are not a habit I plan on developing but there was I, for the second day running, at the same table even at Wolfgang Pucks.. But all in a good cause, as I headed off to Houston for ASPO. Going to the hotel - very new and needed, as the cabby proudly told me,– he asked which Convention I was here for (there is an Olympics meeting of some sort down the hall). I explained about Peak Oil and though initially he had not heard about it, he then mentioned a Houston City Council effort to have the cab companies use hybrids. This is now on hold, since it did not appear to be a well-received suggestion. Concerns that he brought up included the small size of the cars, that they were only 4-cylinder and would not stand the wear that a cab life would impose, and that the cabbies, who have to buy the cabs, could not afford the $3,000 to replace the batteries. Apparently the cab companies had suggested that they would comply right after the police Department bought theirs. Talking at an ASPO break about this, apparently Denver are experimenting with the process, but have only just introduced it with a few cabs., and a quick Google shows that a number of cities have already bitten that bullet.
With getting here a little late I walked into the first joint sessions after they had started, and, as with the ASPO in Cork, the atmosphere immediately conveyed that the meeting would be a success. (Though the initial judgment was made because I had to drop my bag and lean against the wall since there were no free seats, and when more were brought they were still not enough). The audience was obviously knowledgeable and the questions were technical, as were the answers. For the first “Workshop” day the sessions were divided, with TOD stalwarts Stuart Staniford and Euan Mearns giving the story of their incredible detective work in, as an audience member put it, developing the story of Saudi oil with virtually none of the resources or computing power of Aramco, and yet coming very close to what has to be the real story. Stuart explained how the numbers that he, and others at TOD, had put together and painted the picture of Ghawar depletion, (which is in the citation so I won’t repeat it) and Euan put this in the broader context of Saudi Arabia in general. Gail Tverberg acted as moderator to the session and the discussion. Perhaps the crux of the issue is that the authors do not think that Saudi Aramco can produce the volumes that they claim for Ghawar since, in part they assume a higher recovery factor that has been historically true for this type of rock, and with around half the production gone, things are not looking all that good. Reference was made in questions to other papers coming in the meeting that will bring further light to the topic, including such a comment from Matt Simmons.
Roger Bentley: Global Oil and Gas Depletion
Posted by Chris Vernon on May 1, 2006 - 3:10pm in The Oil Drum: Europe
Topic: Supply/Production
Tags: modeling, reserves [list all tags]
Roger Bentley has written Global Oil and Gas Depletion - A Letter to the Energy Modelling Community, published by the Energy Economics Education Foundation (The IAEE's education affiliate) and available to download here (.pdf, page 6).
Bentley addresses this letter to the energy modelling community, it is a brief summary of the various approaches and highlights the problems of the past. A fundamental difficulty surrounds the two different data sets of P50 and proved reserves, the use of proved reserves in the mistaken belief they are a reasonable measure of the remaining oil being chiefly responsible for the difficulties.
‘P50’ designates 50% probable, and is an industry estimate at a given date for the most likely size of a field’s reserves. P50 estimates are often approximated quite well by ‘proved plus probable’ reserves.[Proved reserves] are quite unusable for calculating future oil production as they exhibit serious errors of under-reporting, over-reporting, and non-reporting. These data problems have not been adequately recognised by much of the energy modelling community, leading to serious errors of analysis.


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