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Record W2043732785 · doi:10.2118/0113-0018-jpt

Comments: The Long-Term Outlook

2013· article· en· W2043732785 on OpenAlexaboutno aff
John Donnelly

Bibliographic record

VenueJournal of Petroleum Technology · 2013
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy and Sustainability Research
Canadian institutionsnot available
Fundersnot available
KeywordsProsperityNatural resource economicsBusinessSupply and demandPopulationChinaEconomicsGovernment (linguistics)EconomyEconomic growthGeography

Abstract

fetched live from OpenAlex

Editor's column Energy outlooks by companies, government agencies, and private industry groups identify long-term energy trends and develop projections on supply and demand based on factors such as technological advancement, population trends, the global economy, and policy issues. One of the most respected of these viewpoints comes annually from ExxonMobil, which last month updated its projections for the next 25-plus years in its “Outlook for Energy: A View to 2040.” Although some of the trends are carry-overs from previous editions, the energy landscape has changed a lot over the past few years, most notably the growth in unconventional resources in North America. Here are some of the significant findings from the report: Energy demand in developing nations will rise 65% by 2040, reflecting growing prosperity and expanding economies. Greater demand in electricity and transportation fuel will help drive this increase. Technology continues to allow for the development of once hard-to-produce energy resources, significantly expanding available supplies to meet global demand. Oil will remain the top global fuel, as transportation use will contribute to gasoline and diesel demand. Demand for transportation fuel will stay flat in Europe and decline in North America, but it will grow dramatically in the rest of the world. Natural gas will become the world’s second most used fuel during the period, overtaking coal. ExxonMobil forecasts that global energy consumption will rise 35% by 2040, primarily in China and India. Demand in developed regions such as the United States, Canada, and Europe will largely remain unchanged or decline as they become more efficient in their energy use. Developed nations are forecast to generate 80% more economic output by 2040 compared with 2010, but will use the same amount of energy. Another report released last month, by the US Energy Information Administration (EIA), predicts that growth in unconventional production will continue to have a huge effect on the US. The report forecasts US oil production increases of more than 200,000 B/D each year through 2019. In addition, the country will become an important supplier of natural gas globally as domestic production outpaces demand. The US currently produces 6.5 million B/D of oil and that figure will rise to 7.5 million B/D by 2019, and will remain above 6 million B/D through 2040, according to the report. Most of the growth will come from onshore production, mainly from shale and other tight formations, the EIA said. US gas production will continue to out-strip domestic demand through 2020. The outlook sees world oil demand growing from the current 88 million B/D to 113 million B/D in 2040 because of strong consumption in China, India, Brazil, and other developing economies.

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)0.004
metaresearch head score (Gemma)0.024
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.117
Threshold uncertainty score0.390

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.024
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0080.006
Open science0.0020.002
Research integrity0.0160.017
Insufficient payload (model declined to judge)0.1170.078

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 spread0.257 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations0
Published2013
Admission routes1
Has abstractyes

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