Geothermal assessment of a conventional hydrocarbon reservoir in eastern Québec: preliminary field and petrophysical data
Bibliographic record
Abstract
In eastern Québec, the Sayabec Formation is a lower Silurian carbonate unit well known for its natural macro porous intervals occurring both at the outcrop scale and in the subsurface, and interpreted as hydrothermal dolomite (HTD) units. The Sayabec Formation represents a potential reservoir analog to the Albion-Scipio oil field (Ordovician, Michigan basin, USA) and has been targeted by a local oil and gas operator since 2010, which resulted in the drilling of about 6000 meters of stratigraphic wells in the Témiscouata area. This provided an ideal case study to test how conventional methods for oil and gas exploration can be applied to assess geothermal properties of reservoir units. To better understand the conventional reservoir properties (e.g. porosity and permeability variability with respect to lithofacies), their spatial heterogeneity and how these properties can be used to evaluate geothermal parameters; outcrops were revisited in the Témiscouata area to collect a consistent, although limited, new sample set of key sedimentary facies within the lower Silurian succession for this pilot project. A total of eight distinctive lithologies were defined and analysed using both an infrared thermal conductivity scanner and probe permeametry, providing critical fine scale assessment of thermophysical properties of the lower Silurian carbonates and clastics. Those preliminary field data are compared with pre-existing porosity and permeability laboratory measurements made on core samples from wells drilled in the same study area.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 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".