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Record W4212862532 · doi:10.9734/jerr/2021/v21i1017497

Critical Review of Polymer Flooding in Daqing Field and Pelican Field: Case Studies of the World’s Largest Polymer Flooding in Light and Heavy Oil Reservoirs, Respectively

2021· article· en· W4212862532 on OpenAlex

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Engineering Research and Reports · 2021
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsFlooding (psychology)Polymer solutionPetroleum engineeringEnvironmental scienceOil fieldPolymerGeologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Aim: Polymer flooding is a promising chemical enhanced oil recovery. Originally it was thought that polymer flooding was not economical. The polymer flooding in Daqing field China has proved otherwise. After that, it was thought that polymer flooding could only be successful in light oil reservoirs, but then polymer flooding was implemented in Pelican field in Canada on a large scale and recorded success. Methodology: The methodology employed was to review polymer flooding from inception, beginning from the work of Kingsley Detling in 1944 who got a patent in the USA to late 1970’s, thus early history of polymer flooding was a good insight for this paper. The mechanism of polymer flooding was also captured; improving the mobility ratio of water with a water soluble polymer is what helps for better sweep efficiency. The successful polymer flooding in Daqing field China has made many companies to understand this technology and go for polymer flooding. Polymer flooding of Daqing field has helped China’s oil and gas industry. Polymer flooding is now used to recover heavy oil especially for deep reservoirs with thin pay zone. Pelican field in Canada has carried out the largest polymer flooding implementation in the world and has proven that polymer flooding can be used for heavy oil and given a new screening parameter for polymer flooding. Results: This review has captured the critical aspects of polymer flooding both in light oil reservoirs-Daqing field, China and heavy oil reservoirs-Pelican field, Canada. Conclusion: This review has proven that polymer flooding is a promising Chemical Enhanced Oil Recovery technology in both light oil and heavy oil reservoirs and it is used to increase the ultimate recovery of some fields and could help any country to remain relevant in the oil and gas sector. Using polymer flooding to recover heavy oil proves more efficient and more economical. Because, polymer flooding does not require a lot of heat as in thermal flooding, there is reduction in global green house gas effect. Recommendation: It is recommended that companies use polymer flooding to recover their oil from light oil reservoirs and most importantly increase production and recovery in heavy oil fields.

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)0.002
metaresearch head score (Gemma)0.005
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.247
Threshold uncertainty score0.548

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.356
Teacher spread0.323 · 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