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Record W44073948

The reservoir as reactor

2008· article· en· W44073948 on OpenAlexaboutno aff
M. Greaves, T.X. Xia

Bibliographic record

VenueChemical engineer · 2008
Typearticle
Languageen
FieldEngineering
TopicEnhanced Oil Recovery Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsSteam-assisted gravity drainageAsphaltSynthetic crudePetroleum engineeringOil sandsSteam injectionDiluentEnvironmental scienceCombustionWaste managementAPI gravityEnhanced oil recoveryOil productionUnconventional oilOil viscosityViscosityFossil fuelCrude oilEngineeringMaterials scienceChemistry
DOInot available

Abstract

fetched live from OpenAlex

The use of more advance oil recovery process to prevent the oil reserves to deplete rapidly are discussed. Cold production achieves 5-10%, cyclic steam stimulation (CCS) manages 15-25% and steam assisted gravity drainage (SAGD) recovers around 40% of the oil. Some 90% of the oil sands are mined, which recovers more than 90% of the bitumen. The Bath improved oil recovery group have started work to integrate horizontal well technology with the ISC process. The THAI pilot has achieved considerable early stage success, with sustained high combustion temperatures of 600-700°C, and producing 1000 bbl of bitumen. The in-situ combustion group at the University of Calgary have tried surrounding a vertical producer well with catalyst and using in-situ combustion to create the right conditions to upgrade heavy crude in place. THAI-CAPRI reduces the produced oil viscosity to around 20-50 cp. The increase in API will allow the oil to be pipelined without the need for an expensive diluent.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.039
Threshold uncertainty score0.130

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0390.018

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 head0.207
Teacher spread0.198 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations0
Published2008
Admission routes1
Has abstractyes

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