Geochemical interactions between supercritical CO, and the Midale Formation. 11: Preliminary test experiments - initial fluid chemistry data
Bibliographic record
Abstract
This report describes work undertaken at the British Geological Survey (BGS) that forms part of the international IEA Weyburn C02 Monitoring and Storage Project. This project aims to monitor and predict the behaviour of injected C02 into the Midale reservoir at the Weyburn oil field in southern Saskatchewan, Canada, using methods that include time-lapse geophysics, modelling its subsurface distribution and migration, and simulating likely chemical interactions with the host rock. This report aims to provide an initial description of certain fluid chemical data from a series of test experiments that have been conducted within the Hydrothermal Laboratory of the British Geological Survey. These test experiments were undertaken to ascertain appropriate sampling frequencies for later experiments. The experiments utilised samples of 'Midale Marly' material from the Weyburn field, and reacted this under in-situ conditions with synthetic formation water (h C02). The experimental techniques used are as detailed in Rochelle et al. (2002). The experiments were conducted at 60°C and pressurised to 160 bar [16 MPa] using either C02 or N2. Experiment durations ranged from one week to 10 weeks. Initial results show generally higher reaction in the C02 experiments compared to the N2 experiments. They also show relatively rapid carbonate mineral reaction and slower silicate mineral reaction.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".