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Record W2037778518 · doi:10.2118/153706-pa

Test of SAGD Flow-Distribution-Control Liner System in the Surmont Field, Alberta, Canada

2013· article· en· W2037778518 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Canadian Petroleum Technology · 2013
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsConocoPhillips (Canada)
Fundersnot available
KeywordsInjectorPetroleum engineeringCasingSteam injectionEngineeringWater injection (oil production)DrillingCompletion (oil and gas wells)Oil fieldGeologyMechanical engineering

Abstract

fetched live from OpenAlex

Summary The Surmont Well Pair 102-06 started steam-assisted-gravity drainage (SAGD) operation in April 2009 with flow-distribution control (FDC) built into the horizontal liners for both the injection and the production wells. After preheat steam circulation, this liner system has allowed operation without a toe tubing string in either completion and has delivered superior steam-chamber development and overall performance. The design also allowed reducing the liner and casing size for the injection well. Future SAGD-well design may benefit by further reduction in liner and casing sizes for both the injector and producer, which could allow longer completions by reducing liner drag and increasing directional-drilling flexibility. Ultimately, these SAGD-well design changes could increase the amount of reservoir developed per well and per well pad, using longer wells and more wells per pad while achieving superior SAGD performance.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.131
Threshold uncertainty score0.362

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.003
GPT teacher head0.178
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