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Record W2186577443 · doi:10.11575/prism/25825

Effects of Lean Zones on SAGD Performance

2015· dissertation· en· W2186577443 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

VenuePRISM (University of Calgary) · 2015
Typedissertation
Languageen
FieldEngineering
TopicAdvanced Manufacturing and Logistics Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsPetroleum engineeringLean manufacturingEnvironmental scienceBusinessGeologyEngineeringManufacturing engineering

Abstract

fetched live from OpenAlex

In Canada, both Nexen’s Long Lake and Suncor’s Firebag steam-assisted gravity drainage (SAGD) Projects reported existence of intersecting lean zones that behave as thief zones. Thoroughly understanding the effect of lean zones and improving SAGD operations with such heterogeneity are critically important in reducing the disadvantages of lean zones during SAGD production. The mechanisms of how mobile water affects the SAGD production are thoroughly studied by developing analytical transient solutions. Meanwhile, the effects of the location, thickness, size, and interval distance of lean zones on SAGD are numerically discussed. The relationship between the steam chamber volume and steam-oil ratios is also highlighted. The ten-year history match is performed based on the geological model in the Lone Lake Field. A hybrid cyclic steam stimulation (CSS)/SAGD method is furthermore proposed and studied to overcome the practical problem of low injection pressure due to lean zones.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.811
Threshold uncertainty score0.706

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 head0.005
GPT teacher head0.181
Teacher spread0.175 · 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