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Record W2095314421 · doi:10.2118/0508-0036-jpt

Assessing the Past, Present, and Near Future of the Global Energy Market

2008· article· en· W2095314421 on OpenAlexaff
Roberto F. Aguilera

Bibliographic record

VenueJournal of Petroleum Technology · 2008
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsNatural resource economicsPeak oilEconomicsProduction (economics)Investment (military)Fossil fuelPetroleum industryResource depletionEconomic shortageScarcityWork (physics)BusinessMarket economyPoliticsGovernment (linguistics)Environmental scienceEngineeringClimate changeMacroeconomics

Abstract

fetched live from OpenAlex

Management This article is based on paper SPE 110215, which was presented at the 2007 SPE Annual Technical Conference and Exhibition in Anaheim, California. The availability of abundant and inexpensive energy sources has been the driver of the industrial revolution and still is linked to the well-being of the global economy. But there is concern about a potential energy crisis this century. Pessimists point out that petroleum resources are fixed physical stocks that eventually will be depleted, while optimists view petroleum as a working inventory that is constantly being renewed as it is extracted. In the case of oil and other hydrocarbons, eventually there will be a maximum peak in production. The question is whether it will occur sooner or later, and whether it will happen because of depletion or because of substitution to other energy sources, perhaps unconventional. Recent work suggests that there are enough hydrocarbons, available at production costs far below current oil prices, for society to substitute alternative sources before depletion becomes a problem. However, the successful transition after peak oil production depends on whether adequate investment in alternative sources takes place on a timely basis. With respect to hydrocarbon availability, the ability of technological advancement to offset the cost-increasing effects of depletion will be fundamental. Temporary shortages might occur because of the lack of spare capacity, cartels, political instability, natural disasters, strikes, a shortage of qualified workers, shortage of refining capacity, and commodity manipulation. Global Energy Market (GEM) Model The model presented in this article leads to what we are calling the "2030 1/3 forecast." It indicates that global energy needs will be met by approximately 1/3 liquids, 1/3 solids, and 1/3 gases by 2030. Although the model can be used for forecasting far into the future, it is currently calibrated to a reasonable time horizon, the year 2030. The pentagon shown in Fig. 1 describes the philosophy of the GEM model, explained primarily with the case of oil. In the center of the pentagon is global population, which has been increasing dramatically since 1950. The top of the pentagon shows historical energy consumption and forecast future energy consumption. The next corner shows the historical and forecast future fraction contributed by each primary energy source. Corner 3 shows actual and forecast consumption rates of each source. The question is whether there are enough volumes of oil, gas, and other resources to supply the rates forecast for the period in this study. This is answered in the next corner (4), which shows estimated energy resource availability by plotting recoverable petroleum volumes vs. the number of recognized petroleum provinces around the world. The final corner (5) of the pentagon shows a cumulative long-run supply curve that presents production costs of the world's recoverable petroleum volumes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0060.013
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0070.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.267
Teacher spread0.259 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2008
Admission routes1
Has abstractyes

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