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Research on Profile Control and Water Shut-off Performance of Pre-crosslinked Gel Particles and Matching Relationship between Particle and Pore Size

2010· article· en· W1882497288 on OpenAlexvenueno aff
Xinwang Song, Xulong Cao, Qing‐Sheng Chi, Dongxu Li, Jirui Hou

Bibliographic record

VenueAdvances in natural science/Advances in natural sciences · 2010
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceParticle sizePermeability (electromagnetism)Particle (ecology)Composite materialChemical engineeringChemistryGeology

Abstract

fetched live from OpenAlex

Experiments on injectivity and profile control performance of pre-crosslinked gel particles widely used in oilfields were done .The results show that, the injectivity of pre-crosslinked gel particle is poor Most of particles pile up in the front of sand pack, and the migration distance of pre-crosslinked gel particles is less than twenty centimeter, which lead to the formation of filter cake and the poor effects of depth profile control. The injection of pre-crosslinked gel particle is selectivity. In the early stage of profile control, the diversion rate of low permeability layer increases slightly. After long-term waterflooding, due to the easily breakthrough in higher permeability layers, the diversion rate of low permeability layer declines in comparison that before the operation. It is indicated that pre-crosslinked gel particles will harm low permeability layers. It is calculated and analyzed that the diameters of current pre-crosslinked gel particles are bigger than pore size. Theoretically, current pre-crosslinked gel particles are difficult to be applied in depth profile control. Key words : pre-crosslinked gel particle; profile control and Water Shutoff; particles diameter; pore size

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.005
Open science0.0010.000
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 head0.015
GPT teacher head0.341
Teacher spread0.326 · 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 designObservational
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

Citations8
Published2010
Admission routes1
Has abstractyes

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