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Record W319961790

Models provide insights on North American gas future

2007· article· en· W319961790 on OpenAlexaboutno aff
Steve Mohr, Geoffrey M. Evans

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2007
Typearticle
Languageen
FieldEnergy
TopicGlobal Energy Security and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringEnvironmental scienceEngineering
DOInot available

Abstract

fetched live from OpenAlex

Estimates of ultimate recovery resources (URR) for conventional gas in North America were drawn from models with various assumptions using a history match of past production and bell-curve approach. Model 1 used Laherrer's URR estimate of 42.5 tcm for US plus Canada and Model 2 used Rempel's URR estimate of 63 tcm for US plus Canada. Both models used only historic US and Canadian conventional natural gas production from 1918 to 1993. The assessment modified both models to account for stranded gas. Model 1 predicts gas production will decrease steadily. Model 2 shows a continued decrease until 2015, followed by a significant increase in production to a peak in 2049. URR estimates of unconventional gas in the US are tight gas: 200-627 tcf; coalbed methane: 50-180 tcf; shale gas: 50-150 tcf. The highest estimates of 600 tcf tight gas, 180 tcf coalbed methane and 150 tcf shale gas for the model. Estimates of tight-gas resources in Canada vary from 300 tcf to 700 tcf. The US has about 6000 tcf of tight gas in place. Finally, because of unconventional and stranded gas, production remains almost steady until 2025 before declining.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.960
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.196
Teacher spread0.189 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2007
Admission routes1
Has abstractyes

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