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Record W2359683275

SINOPEC's coal-bed methane development potential

2011· article· en· W2359683275 on OpenAlexaboutno aff
Sinopec Exploration

Bibliographic record

VenueShiyou yu tianranqi dizhi · 2011
Typearticle
Languageen
FieldEngineering
TopicCoal Properties and Utilization
Canadian institutionsnot available
Fundersnot available
KeywordsCoalbed methaneChinaStructural basinInvestment (military)Petroleum industryFossil fuelBlock (permutation group theory)GeologyMining engineeringCoalEngineeringGeographyCoal miningWaste managementPaleontology
DOInot available

Abstract

fetched live from OpenAlex

Large amount of coalbed methane(CBM)is produced in the US,Canada,and Australia.From the development of CBM industry at home and abroad,we can see that 1)the development of CBM industry is a long and rough road;2)favorable policies will help to promote the development of CBM industry;3)rapid development of CBM industry needs the involvement of big oil companies.SINOPEC has more than 8 trillion cubic meters of CBM resources.Analysis of geology and block screening reveal that the Heshun block in the Qinshui basin,the southern margin and the northern part of Ordos Basin and the eastern Yunnan-western Guizhou region are the key areas for developing CBM in the near term.We suggest Sinopec see CBM as important as conventional oil/gas and adopt positive investment strategies.First,get access to as many as CBM resources both at home and abroad through block leasing,acquisition and cooperation with other companies.Second,treat existing blocks differently.For the Yanchuannan,Heshun and Zhijin blocks which have already found CBM,pilot production and further appraisal should be conducted in order to realize commercial production.For blocks in the northern part and the southern margin of Ordos Basin and in the eastern Yunnan-western Guizhou region,exploration should be deepened in order to make a breakthrough.For blocks in southern North China Basin and Northwest China,exploratory work should be carried out in order to appraise their CBM potential.Third,intensify investment in RD and build an integrated team of management,production and scientific research to ensure the fast and healthy development of SINOPEC's CBM exploration and production.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.735
Threshold uncertainty score0.999

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)0.0010.001

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 head0.026
GPT teacher head0.186
Teacher spread0.161 · 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.

Study designOther design
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
Published2011
Admission routes1
Has abstractyes

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