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Record W2347712860

CARBON DIOXIDE GROUND PROCESSING,STORAGE AND TRANSPORTATION

2008· article· en· W2347712860 on OpenAlexaboutno aff
Wang Jue

Bibliographic record

VenueTianranqi gongye · 2008
Typearticle
Languageen
FieldEngineering
TopicCarbon Dioxide Capture Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsTruckEnhanced oil recoveryPipeline transportEngineeringCarbon dioxidePipeline (software)Carbon capture and storage (timeline)Waste managementProcess engineeringEnvironmental sciencePetroleum engineeringTransport engineeringAutomotive engineeringEnvironmental engineeringMechanical engineeringChemistry
DOInot available

Abstract

fetched live from OpenAlex

To reduce the emission of carbon dioxide in the air has been the focus of attention by the global environment,and carbon dioxide ground processing,storage and transportation become essential technology in the integrated use of CO2 in large quantities. Hereby this paper introduces two kinds of CO2 liquefied technology,one is under normal temperature and high pressure,another under low temperature and low pressure, and analyzed advantages and disadvantages of four types of CO2 transportation, i. e., pipeline,truck tanker, train tanks,and shipping vessels, pointing out the co-existing problems in transportation including high cost,low storage density,high energy exaustion,and low efficiency,etc. and a cost-effective transportation method to be chosen by many factors including the quantity of CO2,conditions of equipments(temperature and pressure),covering distance,demand and price on the market,traffic carrier layout along the line,and so on. Taking as an example the CO2 storage and monitoring in the Weyburn oil field (Canada),this paper introduces the technology of injecting CO2 to enhance the EOR in the oil field and CO2 storage technology. Finally this paper puts forward that it is key point for the integrated use of CO2 in large quantities to reduce the cost in CO2 ground processing,storage and long-distance transportation with highly guaranteed safety, and there is great potential in the technology of injecting CO2 to enhance the EOR in China.

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 score0.739
Threshold uncertainty score0.778

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 head0.009
GPT teacher head0.186
Teacher spread0.176 · 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
Published2008
Admission routes1
Has abstractyes

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