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Record W2747514170 · doi:10.7122/486571-ms

The First Integrated Approach for CO2 Capture and Enhanced Oil Recovery in China

2017· article· en· W2747514170 on OpenAlex
Xiangzeng Wang, Qingwang Yuan, Shuoshi Wang, Fanhua Zeng

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueCarbon Management Technology Conference · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicCO2 Sequestration and Geologic Interactions
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsTonneEnvironmental scienceEnhanced oil recoveryPetroleumPetroleum engineeringGreenhouse gasCoalFossil fuelWaste managementNatural gasOil fieldCoal miningEnvironmental engineeringEngineeringGeology

Abstract

fetched live from OpenAlex

Abstract As the only company which owns the right for coal mines and oil and gas production in China, Yanchang Petroleum Group has the unique advantages to implement integrated CO2 capture and enhanced oil recovery (EOR) in Ordos Basin. This area is also one of the largest CO2 emission areas in China. The coal to chemicals plant was built to efficiently co-utilize coal, oil and natural gas. The energy efficiency is about 8.9% higher than the world average level. Two corresponding CO2 capture plants were built with the capacity of 50,000 and 360,000 tonnes per year. The cost for CO2 capture is as low as $17.5/tonne, much cheaper than most of the other CO2 capture project in the world. By optimizing the distance between CO2 capture plants and EOR sites, the shortest distance, the shortest distance for CO2 transportation is only 10 kilometers. It is estimated that the cost for CO2 transportation is $2.58/tonne. Meanwhile, the CO2 is used for enhanced oil recovery in Yanchang oil fields. Extensive research has been done to investigate the suitable geological conditions for CO2-EOR. Experiments have also been conducted to study the behaviors of CO2-crude oil mixture. Two pilot tests including Qiaojiawa 203 block and Wuqi Yougou are now in operation with well production being doubled or tripled. In addition, more than 87% of reservoirs in Yanchang oil field in Ordos Basin are suitable for CO2-EOR with estimated billions of CO2 storage capacity. Introduction Greenhouse gas emissions are regarded as one of the most important factors resulting in global warming and climate change. In all the greenhouse gases, the proportion of carbon dioxide (CO2) emitted is the greatest and around 76%, according to the statistics from the Intergovernmental Panel on Climate Change (IPCC) in 2013. The CO2 emissions are mainly from the consumption of fossil fuels such as coal, oil and natural gas which provide 85% of worldwide energy needs for human activities (BP, 2017). While in these CO2 sources from energy consumptions, the burning of coal produces more CO2 than oil or natural gas at the same equivalent electricity generated.

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.

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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.669
Threshold uncertainty score0.336

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 studies0.0000.001
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 head0.010
GPT teacher head0.228
Teacher spread0.218 · 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