MétaCan
Menu
Back to cohort
Record W2017906790 · doi:10.2118/100525-ms

A Dynamic Economic Indicator to Evaluate SAGD Performance

2006· article· en· W2017906790 on OpenAlex
Hyundon Shin, M. Polikar

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.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicReservoir Engineering and Simulation Methods
Canadian institutionsUniversity of AlbertaShell (Canada)
Fundersnot available
KeywordsLimit (mathematics)Petroleum engineeringThermalEnvironmental scienceCorrelation coefficientThreshold limit valueComputer scienceMathematicsEngineeringChemistryStatisticsThermodynamicsPhysics

Abstract

fetched live from OpenAlex

Abstract A new economic indicator, called simple thermal efficiency parameter (STEP), was developed to evaluate the performance of a steam-assisted gravity drainage (SAGD) project. Its usefulness as an economic indicator was validated qualitatively and quantitatively. STEP is based on cumulative steam-oil ratio (CSOR), calendar day oil rate (CDOR) and recovery factor (RF) for the time corresponding to an instantaneous steam-oil ratio (SOR) of 4. In this study, a dynamic model for STEP called STEP-D was developed to be used as an economic indicator under the changing conditions of the economic limit of SOR and heavy oil price. STEP-D is calculated from the original STEP value by including the two dynamic factors, heavy oil price and SOR economic limit. The results showed a good linear relationship between STEP-D and net present value (NPV), with a higher than 0.93 correlation coefficient. STEP-D may therefore be a valuable economic indicator under dynamic situations.

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 score0.049
Threshold uncertainty score0.942

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)0.0000.001

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 head0.260
Teacher spread0.251 · 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