Geothermal data from southeastern New Brunswick: implications for potential geothermal energy projects and carbon sequestration in eastern Canada
Bibliographic record
Abstract
To date, assessing the feasibility of Enhanced Geothermal Systems (EGS) in New Brunswick has been limited by the lack of information pertaining to geothermal gradients. Existing maps have incorporated less than a dozen datapoints, mostly from dedicated investigations in and adjacent to the central uplands that cross the province from southwest to northeast. To supplement this data, provincial records that report Bottom Hole Temperatures from exploration boreholes have been reviewed and coarsely filtered for dubious data. This process has contributed over 100 additional datapoints in the southeastern half of the province that have been converted to geothermal gradients to supplement previous maps. The updated geothermal map of southeastern New Brunswick indicates that geothermal gradients across the region average ~20.5 K/km, which is below the global average of 25 K/km. Locally, however, potential anomalies exist where geothermal gradients are well above the global average. These anomalies, pending further assessment, are associated with relatively shallow-depth salt intrusions. Elsewhere, the presence of high geothermal conductivity salt deposits has produced “salt chimneys” whereby overlying, near-surface rocks have steeper geothermal gradients than adjacent regions. Accordingly, whereas average values for regional geothermal gradients are not conducive to economic large-scale EGS using current technologies and may also lower the potential for economic sequestration of supercritical CO2, small-scale, lower temperature, shallow, geothermal systems may be feasible in localities associated with salt intrusions, particularly if further analysis supports a “salt-chimney” effect.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".