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Record W1782651217 · doi:10.1190/1.3304821

AVO modeling of pressure-saturation effects in Weyburn CO2 sequestration

2010· article· en· W1782651217 on OpenAlex
Jinfeng Ma, Igor B. Morozov

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

VenueThe Leading Edge · 2010
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicSeismic Imaging and Inversion Techniques
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsEnhanced oil recoveryCarbon sequestrationPetroleum engineeringGreenhouse gasEnvironmental scienceWater floodingHydrology (agriculture)GeologyGeotechnical engineeringCarbon dioxideChemistry

Abstract

fetched live from OpenAlex

The Weyburn Field in southeastern Saskatchewan, Canada (Figure 1) was discovered in 1954 and has been water-flooded since the 1960s. In October 2000, injection of CO2 for enhanced oil recovery was started by EnCana, concurrently with a multidisciplinary International Energy Agency Greenhouse Gas (IEA GHG) CO2 Monitoring and Storage Project (CO2MSP). In order to monitor CO2 injection, storage, and oil recovery, several vintages of 3D and 3D/3-C data were acquired, starting with a baseline survey in December 1999. These time-lapse data sets were used to evaluate the quality and safety of CO2 sequestration, and monitor the reservoir pressure front, water flooding, and bypassed oil (White et al., 2004).

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 score0.757
Threshold uncertainty score0.250

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 head0.016
GPT teacher head0.234
Teacher spread0.218 · 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