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Record W2373601305

Natural gas reserves situation and experiences of foreign countries

2010· article· en· W2373601305 on OpenAlexaboutno aff
Cnooc Gas

Bibliographic record

VenueTianranqi gongye · 2010
Typearticle
Languageen
FieldEngineering
TopicHydrocarbon exploration and reservoir analysis
Canadian institutionsnot available
Fundersnot available
KeywordsNatural gasConsumption (sociology)ChinaNatural resource economicsFamineBusinessCommerceEconomicsEconomyEngineeringWaste managementLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

With the continued development of the natural market,China's natural consumption grows rapidly,whereas the natural reserve mechanism is relatively incomplete,which has led to the phenomenon of frequent gas famine in recent years.Therefore,we introduce the natural reserves status from many aspects of basic information,natural storage means and scale,gas storage system,regulation and laws in different countries respectively including the USA,Canada,Britain,France,Spain,Italy,Germany,Japan,and South Korea.On the basis of this,we summarize their experiences as follows:①Gas storage has been one of the necessary means for safe and stable supply in those consumption countries;②Various storage systems such as underground storage,LNG storage,gas field reserves,etc.have to be prepared according to each country's resources and consumption situation;③Those countries with huge yearly consumption or those relying on large imports have to possess a large capacity of storage,thus having longer storage days of reserves;④The management system of storage is quite different in different countries,only the USA operates its storage,transportation,and supply in a highly commercial way;⑤Although Japan is the only one among these countries which issues the Law of Natural Gas Storage,the other countries have enacted various degrees of laws on the construction and management of natural storage.Hopefully,these experiences will provide a valuable reference for China to establish its strategic natural reserves as early as possible.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.582
Threshold uncertainty score0.282

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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 designBench or experimental
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

Citations1
Published2010
Admission routes1
Has abstractyes

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