Fort Nelson Test Site - Site Characterization Report
Bibliographic record
Abstract
The Plains CO2 Reduction (PCOR) Partnership, led by the Energy & Environmental Research Center (EERC), is working with Spectra Energy Transmission (SET) to determine the feasibility of large-scale injection of carbon dioxide (CO2) into a deep brine-saturated carbonate formation near Fort Nelson, British Columbia, Canada, for the purpose of CO2 storage. Site characterization must be conducted prior to large-scale injection of CO2 at the Fort Nelson test site. Effective characterization supports modeling; risk assessment; and monitoring, verification, and accounting (MVA) programs that will constantly evolve to suit the project’s needs. Site characterization activities have been conducted to address three critical issues affecting the viability of the Fort Nelson test site: 1) the capacity of the target formation, 2) injectivity, and 3) containment – the potential for leakage of the injected CO2 into overlying formations and/or the near-surface environment. Geochemical, mineralogical/petrophysical, geomechanical, and hydrogeological data have been collected for the purpose of supporting modeling, risk assessment, and MVA activities. The geology, stratigraphy, and lithology have been evaluated, delineated, and described for the entire sedimentary succession from the base of the Devonian age Presqu’ile reef complex to the top of the Fort Simpson shale (cap rock) in the Fort Nelson project area. The structural elements of the reef complex have been investigated to identify any existing faults and/or fractures that would allow migration of any reservoir and/or injected fluids out of the storage reservoir. On this basis, a geologic model has been built, with particular attention given to the Devonian injection interval and overlying and underlying sealing formations.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".